*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
08/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Architect with Kafka and Data Lakes experience. Candidate will be responsible for data architecture and design to support all IT areas of the business. This role will establish standards, coordinate solution design with subject matter owners, document and design solutions and ensure strategic goals are met at the operational level. The role will be a primary contributor to the Joint Technology Strategy and oversee and conduct evaluations of technology and process during proofs-of-concept/value. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Advises team of IT technology standards requirements, methodologies, and processes. Drives short and long term architecture strategy for the overall IT project portfolio for key business segments. Responsible for comprehensive infrastructure designs including all aspects of IT. Participates in proof of concepts to assist in defining technology direction and enabling business strategy. Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Responsible for impact analysis and design modifications of existing systems to support new solutions and integrations. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Communicate and coordinate between IT, Application Development, Operations, and Management. Uses traditional and Agile project/product approaches to execute projects and achieve business outcomes. Drive business results through process and informal leadership. Qualifications: Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions [Required] Ability to prioritize critical versus non-critical issues and communicate effectively to management. [Required] Proven ability to contribute consistently and positively in a dynamic, fast-paced, and highly regulated environment. [Required] Proven ability to facilitate project alignment between business and technical teams. [Required] Demonstrated ability to dig beyond the surface to uncover root causes and offer solutions that could deliver effective and efficient outcomes. [Required] Experience operating in a collaborative environment to solve cross-functional problems. [Required] Self-directed and detail oriented. [Required] Highly effective organization and planning skills. Technical Skills: Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC [Required] Experience in extracting and developing technical requirements from business goals and needs. [Required] Experience in solution integration and operability. [Required] Experience working with Infrastructure Technologies and Teams. [Required] Proficiency in using Microsoft Office products (Word, Excel, PowerPoint, Visio) [Required] Experience using Service-now or similar [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead [Preferred] Bachelor's degree or higher in a technical field [Preferred] Process improvement certifications such as Lean/Six Sigma [Preferred] IT service or process management certifications such as ITIL or ITAM
Fruition IT are excited to be partnered with a brand new client who have a vision to be one of the UK's leading providers of technology-enabled business mobility. As the IT Director, you will lead the IT department, shaping the strategic direction of their IT infrastructure and systems. You'll work in a dynamic environment, driving technological excellence and ensuring alignment with organisational goals. Key Responsibilities: Develop and implement IT strategies and initiatives in alignment with organisational objectives. Lead and mentor a team of IT professionals, providing guidance and support to drive performance and innovation. Oversee the design, implementation, and maintenance of our IT infrastructure and systems. Collaborate with cross-functional teams to identify and prioritise IT needs and requirements. Manage IT budgets, resources, and vendors to ensure efficient and cost-effective operations. Develop and enforce IT policies, procedures, and security protocols to protect company assets and data, ensuring ownership and integrity of information. Implement robust cyber security measures to safeguard against threats and vulnerabilities. Own and lead the customer support function and team, ensuring timely resolution of issues and high-quality service delivery. Establish service level agreements (SLAs) and key performance indicators (KPIs) to measure and improve customer support performance. What we're looking for: An experienced IT leader with a proven track record of success in driving technology initiatives. Strong leadership and communication skills, with the ability to inspire and motivate teams. Strategic thinker with the ability to align IT initiatives with business goals and objectives. Proficient in IT infrastructure management, including networks, Servers, and cloud services. Experience with IT governance, risk management, and compliance frameworks. Highly organised, with the ability to manage multiple projects and priorities effectively. Customer-focused mindset with experience in leading customer support functions and teams. Required Experience: Minimum 10 years of experience in IT leadership roles. Proven track record of success in developing and implementing IT strategies. Strong technical background with experience in IT infrastructure management. Experience managing IT budgets, resources, and vendors. Excellent communication and interpersonal skills. To find out more and explore this opportunity further, please apply or email your CV to (see below) We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
08/05/2024
Full time
Fruition IT are excited to be partnered with a brand new client who have a vision to be one of the UK's leading providers of technology-enabled business mobility. As the IT Director, you will lead the IT department, shaping the strategic direction of their IT infrastructure and systems. You'll work in a dynamic environment, driving technological excellence and ensuring alignment with organisational goals. Key Responsibilities: Develop and implement IT strategies and initiatives in alignment with organisational objectives. Lead and mentor a team of IT professionals, providing guidance and support to drive performance and innovation. Oversee the design, implementation, and maintenance of our IT infrastructure and systems. Collaborate with cross-functional teams to identify and prioritise IT needs and requirements. Manage IT budgets, resources, and vendors to ensure efficient and cost-effective operations. Develop and enforce IT policies, procedures, and security protocols to protect company assets and data, ensuring ownership and integrity of information. Implement robust cyber security measures to safeguard against threats and vulnerabilities. Own and lead the customer support function and team, ensuring timely resolution of issues and high-quality service delivery. Establish service level agreements (SLAs) and key performance indicators (KPIs) to measure and improve customer support performance. What we're looking for: An experienced IT leader with a proven track record of success in driving technology initiatives. Strong leadership and communication skills, with the ability to inspire and motivate teams. Strategic thinker with the ability to align IT initiatives with business goals and objectives. Proficient in IT infrastructure management, including networks, Servers, and cloud services. Experience with IT governance, risk management, and compliance frameworks. Highly organised, with the ability to manage multiple projects and priorities effectively. Customer-focused mindset with experience in leading customer support functions and teams. Required Experience: Minimum 10 years of experience in IT leadership roles. Proven track record of success in developing and implementing IT strategies. Strong technical background with experience in IT infrastructure management. Experience managing IT budgets, resources, and vendors. Excellent communication and interpersonal skills. To find out more and explore this opportunity further, please apply or email your CV to (see below) We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
My client a major consultancy responsible for delivering essential public services around the world in areas including defence, space, international organisations, healthcare and Immigration/citizen services. We are innovators, committed to redesigning and improving public services for the benefit of everyone. My client has a world of opportunity in Europe and employs over 1000+ staff across 8 countries including Belgium, Luxembourg, France and French Guyana, Germany, Italy, the Netherlands, Spain, Switzerland. My client continuously strive for excellence, so we're passionate about sourcing the best professionals and we look for people who share our drive and own our values - Trust, Care, Innovation & Pride. My client is looking for a Cyber Security Expert to work full time and be based in the Benelux or France (close to St. Genis-Pouilly would be a plus). This role is permanent and will pay €80,000 a year and potentially can go up to €100,000 plus Excellent Benefits. Main Responsibilities for Cyber Security Expert Provide Technical security leadership within Serco Europe's operations, covering bids, acquisitions, projects, and BAU operations. This will include security requirements definition, architectural design work in collaboration with the Enterprise Architect Europe and his team of Solution Architects, advice and guidance on security issues, technical risk assessment, guidance on residual risk and mitigation strategies, application of security design patterns and best practices, etc. You will be responsible for providing assurance, management and control of cyber security and enhancing our Security posture in Serco Europe entities by staying abreast of the latest cyber security trends, threats, and technologies Serco Europe entities by staying abreast of the latest cyber security trends, threats, and technologies Ensure that the company knows as much as possible, as quickly as possible about potential security risks. You will be responsible for seeking, identifying, and reporting risks and systemic weaknesses in control effectiveness within Serco Europe Eliminate (or mitigate) reputational and security risks within Serco Europe, including identification of weaknesses, improvement areas, non-compliances, and technical debt Security review and analysis of proposed changes to operational services within Serco Europe, and providing security expertise on likely impact, mitigations, alternative strategies, etc. Engagement with internal and external audit and assurance providers, including IT Security Health Check suppliers, scoping test plans and helping stakeholders interpret the results of the tests and audits, as well as supporting the implementation of any remedial actions, where required Highly engaged in vulnerability management activities across Serco Europe (such as identification, reporting and mitigation/resolution) to reduce risk of exploit Contribute to on-going Security improvement initiatives, to ensure that our standard operating procedures, approaches, and protocols remain appropriate and align to Cyber Security best practice and Serco's policies and standards Production and management of the Security KPI's including driving improvements of the KPI's In return, we offer a friendly, supportive and professional environment that respects your work/life balance and ultimately contributes to the delivery of public services in Belgium and around the world. Successful Candidate The candidate should have a broad Information Security knowledge, with a deep and current technical understanding of security relating to applications, infrastructure, and cloud services. Excellent communications skills (written and oral) are essential, as is detailed knowledge and practical experience of security-enforcing technologies (Firewalls, SIEM tools, Identity and Access Management, etc.). Familiarity with risk management frameworks and methodologies is required. The candidate's profile is rounded out by non-technical skills, behaviours, and approaches to be an effective Security Lead, eg, security-minded, curious, investigative, persevering, and thorough. Candidates will have a background in Technical Security, ie, must have a minimum 6 years' experience within Information Technology, including at least 4 years' experience in a Technical Security related discipline (such as Security Operations or Network Security) It is desirable to have an intermediate or advanced level Security qualification (such as CSIM, CISSP or equivalent. NB For this role we can only consider applicants who are based in the EU/Europe with the relevant right to work. This also needs to be highlighted clearly on the CV otherwise the application will be rejected. Role - Cyber Security Expert Salary: €80,000 to €100,000 + Excellent Benefits Languages: English/French or English/German Location: Benelux or France (close to St. Genis-Pouilly would be a plus)
07/05/2024
Full time
My client a major consultancy responsible for delivering essential public services around the world in areas including defence, space, international organisations, healthcare and Immigration/citizen services. We are innovators, committed to redesigning and improving public services for the benefit of everyone. My client has a world of opportunity in Europe and employs over 1000+ staff across 8 countries including Belgium, Luxembourg, France and French Guyana, Germany, Italy, the Netherlands, Spain, Switzerland. My client continuously strive for excellence, so we're passionate about sourcing the best professionals and we look for people who share our drive and own our values - Trust, Care, Innovation & Pride. My client is looking for a Cyber Security Expert to work full time and be based in the Benelux or France (close to St. Genis-Pouilly would be a plus). This role is permanent and will pay €80,000 a year and potentially can go up to €100,000 plus Excellent Benefits. Main Responsibilities for Cyber Security Expert Provide Technical security leadership within Serco Europe's operations, covering bids, acquisitions, projects, and BAU operations. This will include security requirements definition, architectural design work in collaboration with the Enterprise Architect Europe and his team of Solution Architects, advice and guidance on security issues, technical risk assessment, guidance on residual risk and mitigation strategies, application of security design patterns and best practices, etc. You will be responsible for providing assurance, management and control of cyber security and enhancing our Security posture in Serco Europe entities by staying abreast of the latest cyber security trends, threats, and technologies Serco Europe entities by staying abreast of the latest cyber security trends, threats, and technologies Ensure that the company knows as much as possible, as quickly as possible about potential security risks. You will be responsible for seeking, identifying, and reporting risks and systemic weaknesses in control effectiveness within Serco Europe Eliminate (or mitigate) reputational and security risks within Serco Europe, including identification of weaknesses, improvement areas, non-compliances, and technical debt Security review and analysis of proposed changes to operational services within Serco Europe, and providing security expertise on likely impact, mitigations, alternative strategies, etc. Engagement with internal and external audit and assurance providers, including IT Security Health Check suppliers, scoping test plans and helping stakeholders interpret the results of the tests and audits, as well as supporting the implementation of any remedial actions, where required Highly engaged in vulnerability management activities across Serco Europe (such as identification, reporting and mitigation/resolution) to reduce risk of exploit Contribute to on-going Security improvement initiatives, to ensure that our standard operating procedures, approaches, and protocols remain appropriate and align to Cyber Security best practice and Serco's policies and standards Production and management of the Security KPI's including driving improvements of the KPI's In return, we offer a friendly, supportive and professional environment that respects your work/life balance and ultimately contributes to the delivery of public services in Belgium and around the world. Successful Candidate The candidate should have a broad Information Security knowledge, with a deep and current technical understanding of security relating to applications, infrastructure, and cloud services. Excellent communications skills (written and oral) are essential, as is detailed knowledge and practical experience of security-enforcing technologies (Firewalls, SIEM tools, Identity and Access Management, etc.). Familiarity with risk management frameworks and methodologies is required. The candidate's profile is rounded out by non-technical skills, behaviours, and approaches to be an effective Security Lead, eg, security-minded, curious, investigative, persevering, and thorough. Candidates will have a background in Technical Security, ie, must have a minimum 6 years' experience within Information Technology, including at least 4 years' experience in a Technical Security related discipline (such as Security Operations or Network Security) It is desirable to have an intermediate or advanced level Security qualification (such as CSIM, CISSP or equivalent. NB For this role we can only consider applicants who are based in the EU/Europe with the relevant right to work. This also needs to be highlighted clearly on the CV otherwise the application will be rejected. Role - Cyber Security Expert Salary: €80,000 to €100,000 + Excellent Benefits Languages: English/French or English/German Location: Benelux or France (close to St. Genis-Pouilly would be a plus)
Global Investment/Financial Services company is looking to hire an experienced Kubernetes Site Reliability Engineer as part of their Digital Assets Technical Operations Team. You will work with various engineering teams to own the design of a new multi-region, highly available, cloud-based deployment of our applications to AWS's Kubernetes Platform (EKS) Experience Several years of hands-on experience with AWS in a production environment Production experience running Kubernetes workloads on AWS using EKS Experience creating and deploying Helm charts & libraries Specialist in AWS CloudFormation, IAM, VPC and network security Experience with monitoring tools eg Cloudwatch, Datadog, Splunk Proficiency with Unix operating systems and Shell Scripting Programming experience, eg Python, preferred Experience with CDN Providers eg Akamai, preferred Experience with the agile software development life cycle preferred Automated CI/CD pipelines, eg JenkinsX (Kubernetes native), Jenkins Enterprise Skills Experience with Amazon Web Services (AWS), having managed services and applications in a large AWS cross-account environment using IAM and federated SSO Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog, Splunk, and Kibana See problems as opportunities to automate Ability to work independently with minimal direction Coordinate the overall design of highly available, secure, scalable microservices-based applications in AWS Track record of providing technical leadership to strong teams of Site Reliability Engineers Experience with configuring and deploying resilient infrastructure in multiple regions and multiple availability zones Work multi-functionally with other organizations and collaborate with our risk, product and engineering team leaders Ability to communicate at all levels with track record of strong written and verbal communications Full job spec available. To apply and find out more please reach out (see below)
07/05/2024
Project-based
Global Investment/Financial Services company is looking to hire an experienced Kubernetes Site Reliability Engineer as part of their Digital Assets Technical Operations Team. You will work with various engineering teams to own the design of a new multi-region, highly available, cloud-based deployment of our applications to AWS's Kubernetes Platform (EKS) Experience Several years of hands-on experience with AWS in a production environment Production experience running Kubernetes workloads on AWS using EKS Experience creating and deploying Helm charts & libraries Specialist in AWS CloudFormation, IAM, VPC and network security Experience with monitoring tools eg Cloudwatch, Datadog, Splunk Proficiency with Unix operating systems and Shell Scripting Programming experience, eg Python, preferred Experience with CDN Providers eg Akamai, preferred Experience with the agile software development life cycle preferred Automated CI/CD pipelines, eg JenkinsX (Kubernetes native), Jenkins Enterprise Skills Experience with Amazon Web Services (AWS), having managed services and applications in a large AWS cross-account environment using IAM and federated SSO Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog, Splunk, and Kibana See problems as opportunities to automate Ability to work independently with minimal direction Coordinate the overall design of highly available, secure, scalable microservices-based applications in AWS Track record of providing technical leadership to strong teams of Site Reliability Engineers Experience with configuring and deploying resilient infrastructure in multiple regions and multiple availability zones Work multi-functionally with other organizations and collaborate with our risk, product and engineering team leaders Ability to communicate at all levels with track record of strong written and verbal communications Full job spec available. To apply and find out more please reach out (see below)
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
07/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
07/05/2024
Full time
Senior DevOps Engineer - Cloud - Permanent - Poland Robson Bale are looking for a Senior DevOps Engineer to come on board for a permanent opportunity in Poland. Role can be fully remote from Poland Permanent, Excellent Salary Responsibilities: Technical Skills - Must have Leadership: Lead and manage DevOps/Infrastructure projects, overseeing the entire development life cycle. Collaborate with cross-functional teams to align project objectives and deliverables. Ensure adherence to timelines, budgets, and quality standards. Mentor and guide team members and interns, fostering a culture of continuous learning. Security and Compliance: Demonstrate a deep understanding of Standard Operating Procedures (SOP) for security practices. Perform threat modelling and implement encryption, network defense, and web security measures. Champion security best practices in a production environment and address cloud security risks. Integrate identity providers such as OAuth, OIDC, and SAML to enhance security. DevOps/Infrastructure and Cloud Expertise: Drive change, release, and incident management processes to maintain a stable environment. Utilize extensive experience in DevOps to optimize performance, conduct application upgrades, and apply patches. Lead continuous integration and deployment efforts using tools like Jenkins and Ansible. Demonstrate proficiency in coding and automation to streamline operations. Good hands-on knowledge of AWS/AZURE/GCP cloud service providers. Cloud Infrastructure Management: Exhibit strong expertise in AWS/AZURE/GCP/OCI cloud services and maintain infrastructure as code (IAC) using Ansible, Terraform, or CloudFormation. Oversee containerization technologies like Docker and Kubernetes to enhance scalability and efficiency. Manage Linux-based systems and network configurations to ensure smooth operations. Security and Access Management: Demonstrate a solid grasp of identity and access management (IAM) principles. Manage Security Groups (SGs), Firewall services, and secrets effectively. Optimize service costs based on resource utilization and scale. Monitoring and Reliability: Ensure ongoing and reliable monitoring of the infrastructure to promptly address issues. Implement performance tuning and optimization strategies to maintain high availability. Technical Requirements: Proficient in Python/Java/bash Scripting for automation and tooling. Expertise in AWS/AZURE/GCP/OCI cloud services like Azure Kubernetes Service/Elastic Kubernetes Service/Google Kubernetes Engine. Extensive experience with CI/CD pipelines, particularly using Jenkins . Strong familiarity with Docker and Kubernetes for container orchestration. In-depth understanding of networking principles. Good to Have Skillsets: Experience in crafting intuitive and engaging user interfaces (UI) for web applications, mobile apps, or other AI-powered interfaces. Experience with design thinking methodologies. Understanding of data visualization and information architecture. Ability to write clear documentation. Experience with voice user interfaces (VUIs). Knowledge of animation and micro interactions for enhancing user experience. Experience with design systems and component libraries. Process Skills: General SDLC processes Understanding of utilizing Agile and Scrum software development methodologies Attention to detail and commitment to quality. Behavioral Skills: Work closely with designers, product managers, Developers, and data scientists to deliver comprehensive solutions. Communicate effectively and share knowledge with the team. Be open to feedback and continuously learn and adapt to new technologies. Ability to work independently and as part of a team. Ability to work effectively under pressure and meet deadlines. Passion for learning and staying updated on the latest technologies. Good Attitude and Quick learner. Certification (Good to have) : Certifications (Preferred, any 1 or more Cloud Service Provider): AWS associate certification (eg, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Certified Kubernetes Administrator (CKA) certification. Certified Docker Captain. Azure Certifications (eg Azure Fundamentals, Azure Administrator Associate, DevOps Engineer Expert, Azure Security Engineer Associate) GCP certifications (eg Cloud DevOps Engineer, Cloud network Engineer, Google Workspace Administrator) Networking related certification. Role can be fully remote from Poland Permanent, Excellent Salary Senior DevOps Engineer - Cloud - Permanent - Poland
Michael Bailey Associates - Amsterdam
Amsterdam, Noord-Holland
Job Title: IT Risk Manager Location: Amsterdam Permanent Salary: €90.000 - €110.000 Hybrid working | 50/50 We are currently seeking a proficient individual in IT risk management to join our client's team. The rapid advancement of technologies like AI brings forth new risks that demand unwavering attention. Given the paramount importance of trust and security within our client's organization, safeguarding the systems and data remains a main focus. We are in search of a qualified candidate with expertise in Cybersecurity and AI to take on the role of continuously monitoring and assessing the IT and security risks (from a 2nd line). As the organisation actively embraces new technological advancements, including AI and cloud solutions, we encounter a complex landscape of challenges in Information Security, Third-Party Management, and beyond. The increasing interconnectivity presents additional risks that require meticulous management. Within a cohesive team, you will provide insightful guidance based on your expertise, facilitating the navigation through this technological evolution. Your primary responsibilities will include: Providing support to both the IT department and business units in addressing IT and security risks. Developing comprehensive strategies to mitigate risks across various domains eg tech, continuity and third party risk, infosec. These policies determine the way of working for all different departments in the entire organisation. Ensuring the implementation of robust risk management frameworks aligned with our organizational objectives. Offering strategic insights to enhance the risk management practices and frameworks. Overseeing the continuous improvement of the risk management processes. The IT risk team comprises approximately 26+ dedicated colleagues, contributing to various initiatives globally. Our client values diversity and believes in leveraging different perspectives to strengthen the team. If you possess unique insights and skills, we encourage you to consider joining. If you meet the following criteria, we invite you to apply: A university-level education, preferably in a field related to IT risk management. Proficiency in operational and non-financial risk management, coupled with adeptness in risk assessment methodologies. Comprehensive understanding of IT operations and organizational structures. Demonstrated leadership capabilities, meticulous planning skills, and adeptness in project management. Thorough knowledge of current regulatory frameworks governing IT and risk management. Additional experience in Project Management or Consulting, will be advantageous. Most important - you are passionate about your work. In case you're not sure whether your experience in line - but you are passionate about IT Risk management or 1st line Information Security, please feel free to apply. A conversation with no strings attached is always possible! Michael Bailey International is acting as an Employment Agency in relation to this vacancy.
07/05/2024
Full time
Job Title: IT Risk Manager Location: Amsterdam Permanent Salary: €90.000 - €110.000 Hybrid working | 50/50 We are currently seeking a proficient individual in IT risk management to join our client's team. The rapid advancement of technologies like AI brings forth new risks that demand unwavering attention. Given the paramount importance of trust and security within our client's organization, safeguarding the systems and data remains a main focus. We are in search of a qualified candidate with expertise in Cybersecurity and AI to take on the role of continuously monitoring and assessing the IT and security risks (from a 2nd line). As the organisation actively embraces new technological advancements, including AI and cloud solutions, we encounter a complex landscape of challenges in Information Security, Third-Party Management, and beyond. The increasing interconnectivity presents additional risks that require meticulous management. Within a cohesive team, you will provide insightful guidance based on your expertise, facilitating the navigation through this technological evolution. Your primary responsibilities will include: Providing support to both the IT department and business units in addressing IT and security risks. Developing comprehensive strategies to mitigate risks across various domains eg tech, continuity and third party risk, infosec. These policies determine the way of working for all different departments in the entire organisation. Ensuring the implementation of robust risk management frameworks aligned with our organizational objectives. Offering strategic insights to enhance the risk management practices and frameworks. Overseeing the continuous improvement of the risk management processes. The IT risk team comprises approximately 26+ dedicated colleagues, contributing to various initiatives globally. Our client values diversity and believes in leveraging different perspectives to strengthen the team. If you possess unique insights and skills, we encourage you to consider joining. If you meet the following criteria, we invite you to apply: A university-level education, preferably in a field related to IT risk management. Proficiency in operational and non-financial risk management, coupled with adeptness in risk assessment methodologies. Comprehensive understanding of IT operations and organizational structures. Demonstrated leadership capabilities, meticulous planning skills, and adeptness in project management. Thorough knowledge of current regulatory frameworks governing IT and risk management. Additional experience in Project Management or Consulting, will be advantageous. Most important - you are passionate about your work. In case you're not sure whether your experience in line - but you are passionate about IT Risk management or 1st line Information Security, please feel free to apply. A conversation with no strings attached is always possible! Michael Bailey International is acting as an Employment Agency in relation to this vacancy.
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.
Robert Half are working with a growing business services organisation in the Bristol area as they continue to build their IT Service Operations function. The Role The Service Desk Manager has responsibility for the management of the IT Service Desk function which includes a desk-based Service Desk team, an Administrative Team and remote Field Service Engineers. The role is supported by Team Leaders who will manage the day-to-day workload of the Service Desk and Field Service Engineers. They are also responsible for the management of the IT Admin team who undertake a variety of admin tasks, including procurement and management of joiner/leaver tickets. The role reports into the incumbent Service Desk Manager within the IT Service team. The Service Desk Manager will ensure robust processes and procedures are in place for the efficient and consistent management of the incidents and service requests. They will develop and embed appropriate Key Performance Indicators (KPI's) to monitor individual and team performance. They will identify Service Improvement Plans (SIP's) to improve service where KPI's are not being achieved. They will produce regular reports for wider IT management to highlight performance of the team and progress against SIP's Day-to-day responsibilities: Ensure that incidents and requests are handled according to agreed procedures and ensure that suitable documentation is available for those providing support. Analyse processes, identify alternative solutions, and recommend new approaches. Help establish requirements for the implementation of changes in processes. Take responsibility for the definition, documentation and satisfactory completion of projects Communicate effectively, acting as a key liaison with practices, team members and colleagues Design and create structured documentation that deals with complex information and manage the configuration of documentation items and files Lead, manage and direct the team to support all aspects of the IT Support Service Drive performance, ensuring agreed SLAs and KPI's are defined, met, and reported on a regular basis. Identifying Service Improvement Plans where improvement is required. Ensure processes are in place for monitoring the quality of interactions with the Service Desk to enable effective performance management and customer satisfaction. Skills/Experience: At least 5 years' experience managing a Service Desk in a large organisation. Demonstrable experience in maturing a Service Desk function Experience with coaching and mentoring team members in different roles with differing skill levels. Ability to analyse and manipulate raw data and turn it into meaningful reports (eg Excel, PowerPivot, PowerBI) Knowledge and experience of the ITIL IT Service Management Framework Experience in the management and configuration of Service Management Toolsets (ZenDesk) Awareness of Information Security principles relevant to Service Desk and industry standard framework (ISO27001) Experience in writing business proposals (eg justification for additional headcount). Experience in budgetary process and procedure. Solid technical knowledge to understand the supported environment of IVC and provide effective leadership and direction for Service Desk team members as well as effective participation in relevant department meetings (eg Projects, Major Incident, Change Advisory Board etc). Network technologies (TCP/IP, DHCP, DNS, LAN, WAN and VPN technologies). Microsoft Operating Systems Email and other productivity tools such as MS Office 365, Office 2016, Office 2019, SharePoint Cloud technology awareness (Azure AD/AWS/SaaS etc.) Telephony solutions (VoIP, SIP, UCaaS) Security technology (eg MFA, Phishing, Anti-Virus etc.) Package: £55,000-£60,000 + bonus + hybrid working Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
03/05/2024
Full time
Robert Half are working with a growing business services organisation in the Bristol area as they continue to build their IT Service Operations function. The Role The Service Desk Manager has responsibility for the management of the IT Service Desk function which includes a desk-based Service Desk team, an Administrative Team and remote Field Service Engineers. The role is supported by Team Leaders who will manage the day-to-day workload of the Service Desk and Field Service Engineers. They are also responsible for the management of the IT Admin team who undertake a variety of admin tasks, including procurement and management of joiner/leaver tickets. The role reports into the incumbent Service Desk Manager within the IT Service team. The Service Desk Manager will ensure robust processes and procedures are in place for the efficient and consistent management of the incidents and service requests. They will develop and embed appropriate Key Performance Indicators (KPI's) to monitor individual and team performance. They will identify Service Improvement Plans (SIP's) to improve service where KPI's are not being achieved. They will produce regular reports for wider IT management to highlight performance of the team and progress against SIP's Day-to-day responsibilities: Ensure that incidents and requests are handled according to agreed procedures and ensure that suitable documentation is available for those providing support. Analyse processes, identify alternative solutions, and recommend new approaches. Help establish requirements for the implementation of changes in processes. Take responsibility for the definition, documentation and satisfactory completion of projects Communicate effectively, acting as a key liaison with practices, team members and colleagues Design and create structured documentation that deals with complex information and manage the configuration of documentation items and files Lead, manage and direct the team to support all aspects of the IT Support Service Drive performance, ensuring agreed SLAs and KPI's are defined, met, and reported on a regular basis. Identifying Service Improvement Plans where improvement is required. Ensure processes are in place for monitoring the quality of interactions with the Service Desk to enable effective performance management and customer satisfaction. Skills/Experience: At least 5 years' experience managing a Service Desk in a large organisation. Demonstrable experience in maturing a Service Desk function Experience with coaching and mentoring team members in different roles with differing skill levels. Ability to analyse and manipulate raw data and turn it into meaningful reports (eg Excel, PowerPivot, PowerBI) Knowledge and experience of the ITIL IT Service Management Framework Experience in the management and configuration of Service Management Toolsets (ZenDesk) Awareness of Information Security principles relevant to Service Desk and industry standard framework (ISO27001) Experience in writing business proposals (eg justification for additional headcount). Experience in budgetary process and procedure. Solid technical knowledge to understand the supported environment of IVC and provide effective leadership and direction for Service Desk team members as well as effective participation in relevant department meetings (eg Projects, Major Incident, Change Advisory Board etc). Network technologies (TCP/IP, DHCP, DNS, LAN, WAN and VPN technologies). Microsoft Operating Systems Email and other productivity tools such as MS Office 365, Office 2016, Office 2019, SharePoint Cloud technology awareness (Azure AD/AWS/SaaS etc.) Telephony solutions (VoIP, SIP, UCaaS) Security technology (eg MFA, Phishing, Anti-Virus etc.) Package: £55,000-£60,000 + bonus + hybrid working Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website: