Only candidates eligible to work in Switzerland can be considered at this stage. Description: Background : Our client in the Pharmaceutical industry is looking for a Senior DevOps Engineer to be part of a team that supports the organization in creating and maintaining software solutions. The position is within the DevOps Team, which supports all projects in their standardized but also individual DevOps solutions. The perfect candidate: We are looking for a DevOps Engineer with a deep understanding of CI/CD, automation, source control systems, packaging and deployments. The software in this area is written in C#/C++, therefore being able to read and understand code is needed. General Information: Start date: ASAP latest Start Date: 1.8.2024 Planned duration: technical end date after 12 months Workplace: Rotkreuz Workload: 80-100% Remote/Home Office: 50% home office/50% on site will be possible Team: 6-7 Tasks & Responsibilities: Independent delivery of complex, broadly defined DevOps assignments Specification, planning, implementation, testing, and documentation of these assignments and drafting/definition of tasks for others Independent planning and implementation of complex internal and external sub-projects by involving several employees, or responsible for an area of technological activity Executes with high accountability to schedule and quality Participates actively in detailed design, code reviews, bug/issue triage, and supports well-informed decisions towards business and engineering goals Review expert for other project groups Internal and external knowledge transfer Active role in the scope of conceptual problem solving Defines overarching concepts for the entire product area Closely collaborates with partner teams Responsible for driving new technology inputs in the projects Must Haves: Minimum Bachelor's degree in IT or related field At least 4 - 8 years of experience as a DevOps Engineer A deep understanding of DevOps, CI/CD, automation, source control systems, packaging and deployments Fluent in English Experience in the following technologies: Microsoft Azure DevOps MultiStage ADO yaml pipelines (*) Docker, Kubernetes, Podman (*) Coding experience in C# Scripting in bash and python (*) Linux experience (Debian or Ubuntu) (*) Debian packaging and Debian configuration management GIT (*) Nice to Have: Experience within the IVD sector in a DevOps environment, preferred in the pharmaceutical/medical device industry IaC: Ansible and Terraform Coding C++ experience Gitlab/GitHub Pipeline templates Experience in Embedded systems. Job Title: Senior DevOps Engineer Location: Rotkreuz, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
07/05/2024
Project-based
Only candidates eligible to work in Switzerland can be considered at this stage. Description: Background : Our client in the Pharmaceutical industry is looking for a Senior DevOps Engineer to be part of a team that supports the organization in creating and maintaining software solutions. The position is within the DevOps Team, which supports all projects in their standardized but also individual DevOps solutions. The perfect candidate: We are looking for a DevOps Engineer with a deep understanding of CI/CD, automation, source control systems, packaging and deployments. The software in this area is written in C#/C++, therefore being able to read and understand code is needed. General Information: Start date: ASAP latest Start Date: 1.8.2024 Planned duration: technical end date after 12 months Workplace: Rotkreuz Workload: 80-100% Remote/Home Office: 50% home office/50% on site will be possible Team: 6-7 Tasks & Responsibilities: Independent delivery of complex, broadly defined DevOps assignments Specification, planning, implementation, testing, and documentation of these assignments and drafting/definition of tasks for others Independent planning and implementation of complex internal and external sub-projects by involving several employees, or responsible for an area of technological activity Executes with high accountability to schedule and quality Participates actively in detailed design, code reviews, bug/issue triage, and supports well-informed decisions towards business and engineering goals Review expert for other project groups Internal and external knowledge transfer Active role in the scope of conceptual problem solving Defines overarching concepts for the entire product area Closely collaborates with partner teams Responsible for driving new technology inputs in the projects Must Haves: Minimum Bachelor's degree in IT or related field At least 4 - 8 years of experience as a DevOps Engineer A deep understanding of DevOps, CI/CD, automation, source control systems, packaging and deployments Fluent in English Experience in the following technologies: Microsoft Azure DevOps MultiStage ADO yaml pipelines (*) Docker, Kubernetes, Podman (*) Coding experience in C# Scripting in bash and python (*) Linux experience (Debian or Ubuntu) (*) Debian packaging and Debian configuration management GIT (*) Nice to Have: Experience within the IVD sector in a DevOps environment, preferred in the pharmaceutical/medical device industry IaC: Ansible and Terraform Coding C++ experience Gitlab/GitHub Pipeline templates Experience in Embedded systems. Job Title: Senior DevOps Engineer Location: Rotkreuz, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Your opportunity To work on our mission to empower every person and every business unit in the group to achieve more thanks to the Microsoft Power Platform To support everyone to build great solutions in Microsoft PowerApps, Power Automate and PowerBI with a high business value To work with internal Zurich teams and external IT suppliers on a variety of initiatives and global projects Join the experienced Power Platform Center for Enablement of one of the biggest Power Platform consumers in the world As a Power Platform Solution Architect your main responsibilities will involve: Empowerment Program Identification of teams and individuals interested in learning more about the Power Platform Delivery of tailored Power Platform trainings internally to empower our collaborators to deliver better value to internal and external customers Reusability Identification of successful solutions built internally which could be reused across the organization to further increase the related ROI Implementation of improvements on such solutions to support scale and roll out to wider population Power Pages Governance Assessment of Power Pages technology, definition and implementation of a suitable Governance Strategy for the organization Identification of a leading use case to implement and showcase the product Mentors lower-level colleagues Works in Agile methodology (Scrum, Kanban) using Azure DevOps, Your Experience As a Microsoft 365 Solution Architect your skills and qualifications will ideally include: Deep knowledge in Power Platform technologies with experience of 3 or more of the following: SharePoint Online, Microsoft Teams, Dynamics 365, Power BI, Power Apps, Power Automate, Dataverse, Power Pages Preferably some experience in IT Governance Preferably Software Engineer degree - Informatics and Computer Engineering Good negotiating skills, performance management, good practice, and techniques as well as fluent written and spoken English Very good team player who is skilled at building up and managing stakeholder relationships successfully Ideally you already hold Power Platform Certifications Your Technical Skills Power Platform Products (PowerApps, Power Automate, AI Builder etc.) Microsoft Office 365 (SharePoint Online, MS Teams, MS Forms, Outlook etc) Azure Cloud Services Job Title: Microsoft Power Platform Solution Architect Location: Zürich, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
07/05/2024
Project-based
Your opportunity To work on our mission to empower every person and every business unit in the group to achieve more thanks to the Microsoft Power Platform To support everyone to build great solutions in Microsoft PowerApps, Power Automate and PowerBI with a high business value To work with internal Zurich teams and external IT suppliers on a variety of initiatives and global projects Join the experienced Power Platform Center for Enablement of one of the biggest Power Platform consumers in the world As a Power Platform Solution Architect your main responsibilities will involve: Empowerment Program Identification of teams and individuals interested in learning more about the Power Platform Delivery of tailored Power Platform trainings internally to empower our collaborators to deliver better value to internal and external customers Reusability Identification of successful solutions built internally which could be reused across the organization to further increase the related ROI Implementation of improvements on such solutions to support scale and roll out to wider population Power Pages Governance Assessment of Power Pages technology, definition and implementation of a suitable Governance Strategy for the organization Identification of a leading use case to implement and showcase the product Mentors lower-level colleagues Works in Agile methodology (Scrum, Kanban) using Azure DevOps, Your Experience As a Microsoft 365 Solution Architect your skills and qualifications will ideally include: Deep knowledge in Power Platform technologies with experience of 3 or more of the following: SharePoint Online, Microsoft Teams, Dynamics 365, Power BI, Power Apps, Power Automate, Dataverse, Power Pages Preferably some experience in IT Governance Preferably Software Engineer degree - Informatics and Computer Engineering Good negotiating skills, performance management, good practice, and techniques as well as fluent written and spoken English Very good team player who is skilled at building up and managing stakeholder relationships successfully Ideally you already hold Power Platform Certifications Your Technical Skills Power Platform Products (PowerApps, Power Automate, AI Builder etc.) Microsoft Office 365 (SharePoint Online, MS Teams, MS Forms, Outlook etc) Azure Cloud Services Job Title: Microsoft Power Platform Solution Architect Location: Zürich, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
02/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
People Source Consulting Ltd
Warwick, Warwickshire
Role: Mechanical Engineer Location: Warwick + Hybrid working Salary: £40,000 - £60,000 (depending on experience and ability) The Role Power electronics requires collaborative working between electronics engineering and mechanical engineering to ensure thermal management, production feasibility, durability, and service life. As a Mechanical Engineer, reporting to the Mechanical Engineering Team Leader, you will take responsibility for the technical delivery of one or more projects and ensure that the tasks assigned to you are completed in a timely and conscientious fashion. Continued close communication with the relevant project leads is required. You will produce SolidWorks CAD models and associated drawings of complex cooling structures with an eye to manufacturability and cost effectiveness at all times. To assess the effectiveness of these designs you will be required to conduct mechanical and thermal analysis. You will have the opportunity to integrate your own methods and ideas in order to deliver the company's technical innovations. Responsibilities Simulate, Model, and Validate Cooling Structures: Conduct detailed simulations and modelling to design cooling structures that efficiently extract heat from power electronics devices. Validate these designs through rigorous testing, considering both liquid and air cooling methods SolidWorks CAD Design and Prototyping: Utilize SolidWorks to create innovative and efficient CAD designs. Develop associated drawings and guide designs from prototype build to volume manufacturing Sealing System Design and Testing: Design and rigorously test sealing systems for optimal environmental performance on housing component Advanced Manufacturing Processes: Spearhead the development of industry-leading manufacturing processes for machined, sheet metal, and polymer parts Mechanical-Electronics Integration: Specify mechanical connections and interfaces for seamless integration with electronic components. Collaborate with electronics engineers to optimize package size and functionality PCB Component Layout and Durability: Support PCB component layout design, ensuring durability under static, dynamic, and thermal loading conditions Comprehensive Documentation: Produce thorough product documentation, including design notes, bills of materials, and user manuals Quality and Safety Adherence: Apply rigorous quality and safety standards throughout project execution. In house prototyping we build and test our products in house. Mechanical dexterity and ability is required. Customer-Centric Approach: Interpret product requirements from customer specifications and ensure strict adherence. Effectively communicate design concepts to multiple stakeholders, including direct interaction with customers Company Values and Self-Driven Problem Solving: Adhere to company policies and procedures related to testing, quality, and documentation release. Demonstrate a proactive and self-motivated approach to solving engineering challenges. Benefits: You will enjoy working as part of a close-knit team where every individual's contribution matters and where you will have the freedom to interact directly with every member of the business. Hybrid Working Unlimited Leave 5% towards each staff members pension scheme contribution Group Life Insurance (4 times basic annual salary) Employee Assistance Programme Minimum educational qualifications: Degree level education in Mechanical Engineering or related subject. Applicants with equivalent alternative qualifications or experience will be considered. Previous Experience: You will have a minimum of 2 years working within a field of mechanical design or simulation. Other advantageous skills: Knowledge of the use of simulation software - both CFD and FEA. Interest in 3D printing technologies. Good mechanical ability, eg experience of machine shops, product assembly Experience of SolidWorks CAD software Working understanding of electronics Familiarity with high voltage (eg electric vehicle) working Design for manufacture and assembly How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
02/05/2024
Full time
Role: Mechanical Engineer Location: Warwick + Hybrid working Salary: £40,000 - £60,000 (depending on experience and ability) The Role Power electronics requires collaborative working between electronics engineering and mechanical engineering to ensure thermal management, production feasibility, durability, and service life. As a Mechanical Engineer, reporting to the Mechanical Engineering Team Leader, you will take responsibility for the technical delivery of one or more projects and ensure that the tasks assigned to you are completed in a timely and conscientious fashion. Continued close communication with the relevant project leads is required. You will produce SolidWorks CAD models and associated drawings of complex cooling structures with an eye to manufacturability and cost effectiveness at all times. To assess the effectiveness of these designs you will be required to conduct mechanical and thermal analysis. You will have the opportunity to integrate your own methods and ideas in order to deliver the company's technical innovations. Responsibilities Simulate, Model, and Validate Cooling Structures: Conduct detailed simulations and modelling to design cooling structures that efficiently extract heat from power electronics devices. Validate these designs through rigorous testing, considering both liquid and air cooling methods SolidWorks CAD Design and Prototyping: Utilize SolidWorks to create innovative and efficient CAD designs. Develop associated drawings and guide designs from prototype build to volume manufacturing Sealing System Design and Testing: Design and rigorously test sealing systems for optimal environmental performance on housing component Advanced Manufacturing Processes: Spearhead the development of industry-leading manufacturing processes for machined, sheet metal, and polymer parts Mechanical-Electronics Integration: Specify mechanical connections and interfaces for seamless integration with electronic components. Collaborate with electronics engineers to optimize package size and functionality PCB Component Layout and Durability: Support PCB component layout design, ensuring durability under static, dynamic, and thermal loading conditions Comprehensive Documentation: Produce thorough product documentation, including design notes, bills of materials, and user manuals Quality and Safety Adherence: Apply rigorous quality and safety standards throughout project execution. In house prototyping we build and test our products in house. Mechanical dexterity and ability is required. Customer-Centric Approach: Interpret product requirements from customer specifications and ensure strict adherence. Effectively communicate design concepts to multiple stakeholders, including direct interaction with customers Company Values and Self-Driven Problem Solving: Adhere to company policies and procedures related to testing, quality, and documentation release. Demonstrate a proactive and self-motivated approach to solving engineering challenges. Benefits: You will enjoy working as part of a close-knit team where every individual's contribution matters and where you will have the freedom to interact directly with every member of the business. Hybrid Working Unlimited Leave 5% towards each staff members pension scheme contribution Group Life Insurance (4 times basic annual salary) Employee Assistance Programme Minimum educational qualifications: Degree level education in Mechanical Engineering or related subject. Applicants with equivalent alternative qualifications or experience will be considered. Previous Experience: You will have a minimum of 2 years working within a field of mechanical design or simulation. Other advantageous skills: Knowledge of the use of simulation software - both CFD and FEA. Interest in 3D printing technologies. Good mechanical ability, eg experience of machine shops, product assembly Experience of SolidWorks CAD software Working understanding of electronics Familiarity with high voltage (eg electric vehicle) working Design for manufacture and assembly How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Category Buyer Contract length: 2 years contract with high potential transitioning to permanent Working setting: Hybrid - 3 days/week on-site Working hours: Mon-Thu (full business hours), Friday (half day) Location: Peterlee (25% UK/EU travel) Role Responsibility: Sourcing strategy, cost management, contract negotiation, supplier relationships, assurance of supply, supplier risk sensing, audits processes, etc. Job Role Expectations | Functional/Technical Skills | Soft Skills: Sourcing - Responsible and accountable for directing the development, and/or communication and implementation of a site, regional, or worldwide sourcing strategy. Responsible for managing policies, agreements, source catalogs, and special purchasing programs, and supporting specific Product line(s) NPI programs. Accountable for the liaison with the corresponding Category/Platform based Buyers. Leadership - Provides leadership for sourcing, logistics and resource management decisions. Lead continuous improvement initiatives and purchasing new product introduction activities within Purchasing. Demonstrates leadership in recognizing the potential for cost and inventory reductions, and quality improvement; as well as responsibility for soundness of business proposals and risk assessment. Mentors and develops other Buyers, SQEs, and Purchasing Analysts (where assigned). Promotes the highest level of professionalism and business ethics. Strategy - Tools and Techniques of 6 Sigma will be required and may be attained by Black Belt, Green Belt, Project Sponsor, or other 6 Sigma related training programs. Develops and leads 6 Sigma Strategic Sourcing teams to fully understand the current performance of the supply base, evaluate strategic options, decide a course of action, and begin implementation. Must also have strong knowledge of the product, NPI, Manufacturing, Supply Chain and Category Strategies. Customers - Manages suppliers delivering into many company facilities. Typical internal customers include contacts at all organization levels, worldwide. Solves problems by determining the best course of action, within departmental guidelines, from many existing solutions. The role identifies and satisfies Critical Customer Requirements (CCR), managing Product expectations for Global Purchasing to deliver benefits required to sustain a competitive advantage. Supplier Development - Collaborates with Supplier Development Engineers to ensure continuous improvement in QCLDM with key suppliers. Builds and fosters mutually beneficial supplier relationships at all organizational levels. Analytical (descriptive), problem solving, and project leadership expertise. Effective communicator/ability to build effective relationships. Understanding of Lean Manufacturing principles as applied by the company and our suppliers. Negotiation skills, able to interpret, analyze and negotiate contractual cost elements. Business Acumen - P&L understanding/micro & macro economics. Growth/entrepreneur mindset Key Experiences : Purchasing, logistics, manufacturing, and/or engineering Category team or product team experience Project leadership experience Understanding of Lean Manufacturing principles and Continuous Process Improvement (CPI) Understanding of QCLDM Knowledge of purchasing strategy and supplier sourcing strategies Software experience using MS Office, SAP (nice to have),etc. Minimum 3 years of Procurement experience Future Experiences : Develop, communicate and implement worldwide sourcing strategy Deliver a lean, responsive and resilient material and services flow Meet defined response time, cost, quality and lean targets enabling optimal and efficient facility operations Set the vision for global supply network solutions to meet enterprise or business unit needs Collaborate with senior stakeholders Candidate must be based in UK, there is no relocation package or visa sponsorship offered. Job Title: Category Buyer Location: Peterlee, UK Job Type: Contract Trading as Aston Carter. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. Aston Carter is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available on the website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to the website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
02/05/2024
Project-based
Category Buyer Contract length: 2 years contract with high potential transitioning to permanent Working setting: Hybrid - 3 days/week on-site Working hours: Mon-Thu (full business hours), Friday (half day) Location: Peterlee (25% UK/EU travel) Role Responsibility: Sourcing strategy, cost management, contract negotiation, supplier relationships, assurance of supply, supplier risk sensing, audits processes, etc. Job Role Expectations | Functional/Technical Skills | Soft Skills: Sourcing - Responsible and accountable for directing the development, and/or communication and implementation of a site, regional, or worldwide sourcing strategy. Responsible for managing policies, agreements, source catalogs, and special purchasing programs, and supporting specific Product line(s) NPI programs. Accountable for the liaison with the corresponding Category/Platform based Buyers. Leadership - Provides leadership for sourcing, logistics and resource management decisions. Lead continuous improvement initiatives and purchasing new product introduction activities within Purchasing. Demonstrates leadership in recognizing the potential for cost and inventory reductions, and quality improvement; as well as responsibility for soundness of business proposals and risk assessment. Mentors and develops other Buyers, SQEs, and Purchasing Analysts (where assigned). Promotes the highest level of professionalism and business ethics. Strategy - Tools and Techniques of 6 Sigma will be required and may be attained by Black Belt, Green Belt, Project Sponsor, or other 6 Sigma related training programs. Develops and leads 6 Sigma Strategic Sourcing teams to fully understand the current performance of the supply base, evaluate strategic options, decide a course of action, and begin implementation. Must also have strong knowledge of the product, NPI, Manufacturing, Supply Chain and Category Strategies. Customers - Manages suppliers delivering into many company facilities. Typical internal customers include contacts at all organization levels, worldwide. Solves problems by determining the best course of action, within departmental guidelines, from many existing solutions. The role identifies and satisfies Critical Customer Requirements (CCR), managing Product expectations for Global Purchasing to deliver benefits required to sustain a competitive advantage. Supplier Development - Collaborates with Supplier Development Engineers to ensure continuous improvement in QCLDM with key suppliers. Builds and fosters mutually beneficial supplier relationships at all organizational levels. Analytical (descriptive), problem solving, and project leadership expertise. Effective communicator/ability to build effective relationships. Understanding of Lean Manufacturing principles as applied by the company and our suppliers. Negotiation skills, able to interpret, analyze and negotiate contractual cost elements. Business Acumen - P&L understanding/micro & macro economics. Growth/entrepreneur mindset Key Experiences : Purchasing, logistics, manufacturing, and/or engineering Category team or product team experience Project leadership experience Understanding of Lean Manufacturing principles and Continuous Process Improvement (CPI) Understanding of QCLDM Knowledge of purchasing strategy and supplier sourcing strategies Software experience using MS Office, SAP (nice to have),etc. Minimum 3 years of Procurement experience Future Experiences : Develop, communicate and implement worldwide sourcing strategy Deliver a lean, responsive and resilient material and services flow Meet defined response time, cost, quality and lean targets enabling optimal and efficient facility operations Set the vision for global supply network solutions to meet enterprise or business unit needs Collaborate with senior stakeholders Candidate must be based in UK, there is no relocation package or visa sponsorship offered. Job Title: Category Buyer Location: Peterlee, UK Job Type: Contract Trading as Aston Carter. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. Aston Carter is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available on the website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to the website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
New Jersey Department of Children and Families
Trenton, New Jersey
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at StudentAid.gov/PSLF. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website. SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.
01/05/2024
Full time
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at StudentAid.gov/PSLF. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website. SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.
New Jersey Department of Children and Families
Trenton, New Jersey
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at StudentAid.gov/PSLF. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website. SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.
24/04/2024
Full time
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website at StudentAid.gov/PSLF. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website. SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.
Request Technology - Craig Johnson
Chelmsford, Massachusetts
*We are unable to sponsor for this permanent Full time onsite role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Senior Manager Oracle Applications DBA. Candidate will be very hands-on, and will be ensuring production up-time service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security (physical and data). Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Excellent interpersonal communication skills Ability to work with team members located in multiple geographies and time zones. Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud.
23/04/2024
Full time
*We are unable to sponsor for this permanent Full time onsite role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Senior Manager Oracle Applications DBA. Candidate will be very hands-on, and will be ensuring production up-time service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security (physical and data). Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Excellent interpersonal communication skills Ability to work with team members located in multiple geographies and time zones. Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud.
New Jersey Department of Children and Families
Trenton, New Jersey
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.
16/04/2024
Full time
Government Representative 2 Program Evaluator (Posting ) The Department of Children and Families (DCF), Office of Applied Research and Evaluation has an opportunity for a qualified individual to fill a Program Evaluator position. The DCF seeks a candidate with strong analytical and methodological expertise in program evaluation to lead the design and implementation of program evaluations and continuous quality improvement processes focused on DCF's services for adolescents transitioning out of foster care. Anticipated tasks of this position include: * Lead the design and implementation of evaluation projects using qualitative and quantitative methods. * Coordinate and manage evaluation teams consisting of both research and programmatic staff. * Review, summarize, and communicate findings from relevant scientific and national literature related to evaluation projects. * Participate in the design of research protocols and evaluation plans. * Develop and maintain data collection tools, data collection systems and databases, as needed. * Participate in fieldwork and data collection efforts. * Maintain analytical files including analytical outputs and tables with evaluation findings. * Design and participate in continuous quality improvement processes related to DCF programs and services. * Create and maintain standardized reports and data visualizations. * Facilitate data-driven conversations aimed at improving program performance and outcomes. * Analyze qualitative and quantitative data using software packages such as Excel and SPSS. * Develop interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings to stakeholders at multiple levels and with various backgrounds through presentations and written products. * Partner with external research institutions to facilitate successful implementation of external evaluations of DCF programs. * Support the development and maintenance of interactive data dashboards and visualizations using Tableau for program partners and stakeholders. * Collaborate with stakeholder groups to implement evaluation projects, interpret data and develop recommendations. * Communicate findings through presentations and written products to both internal and external partners. * Manage project activities, maintain workplans, develop meeting agendas and notes, and ensure adherence to timelines. * Participate in professional development opportunities as appropriate. SPECIAL NOTE : This position is located in Trenton, NJ and may be eligible to work remotely for up to two days in a calendar week. REQUIREMENTS EDUCATION: Graduation from an accredited college or university with a Master's degree in a discipline appropriate to this position such as Public Health, Social Work, Psychology or other Social Science field. PhD is preferred. EXPERIENCE: Successful candidates will have at least two (2) years of experience in public health, child welfare, health services, or epidemiological research and program evaluation. NOTE: A Doctorate in a discipline appropriate to the position may be substituted for two (2) years of experience indicated above. SPECIAL NOTE: Proven qualitative and quantitative analysis skills. Experience creating data visualizations preferred, particularly using Tableau. Proven track record of delivering accurate, comprehensive results within tight deadlines. Excellent oral and written communication skills. Ability to work well both independently and in teams. Excellent problem-solving, collaboration and organizational skills. RESUME NOTE: Eligibility determinations will be based upon information presented on the resume only. Applicants who possess a degree from a college or university outside the United States must provide an evaluation of one's transcripts from a recognized evaluation service at the time of submission by the above closing date. Failure to do so may result in your ineligibility. LICENSE: Appointees will be required to possess a driver's license valid in New Jersey only if the operation of a vehicle, rather than employee mobility, is necessary to perform the essential duties of the position. PUBLIC SERVICE LOAN FORGIVENESS: As a prospective employee of the State of New Jersey, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education's website. SAME APPLICANTS : If you are applying under the NJ SAME program, your supporting documents (Schedule A or B letter), must be submitted along with your resume by the closing date indicated above. For more information on the SAME Program visit their Website, email: (see below), or call CSC. RESIDENCY LAW : Please refer to the New Jersey Department of Children and Families' website SALARY: $95,000 TO APPLY: You must submit a cover letter and resume as a single PDF document, saving the file by your Last Name, First Name. Please indicate in your cover letter the Posting # and where you found this job opportunity. Send the file to: (see below) The Department of Children and Families is an Equal Employment Opportunity Employer and is committed to fostering a respectful and inclusive work environment which reflects the diversity of the state we serve.