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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
LA International Computer Consultants Ltd
Warwick, Warwickshire
*SC Cleared* Network Architect 4 Month contract initially Hybrid - Warwick, Corsham, Farnborough £625 - £675 p/d (Via Umbrella-PAYE) We have a great opportunity with a world leading organisation, a true leader in their field. We are looking for a Network Architect to join the successful team on a fantastic, long-term program of work. Key Responsibilities: Virtual Network Solution Design Architect with experience of designing and building NSX-T services for workload domains within the VMware Software Defined Datacentres (SDDC) This would include the deployment of NSX Global Manager nodes to support NSX Federation across VMware Cloud Foundation instances. Key Skills & Experience: - Experience of NSX Edge virtual appliance deployment by using SDDC Manager, Deployment and life cycle management by using SDDC Manager workflows and NSX Manager with Automated password management using SDDC Manager. - Experience of vSphere HA recovery used across availability zones. - Experience of Uplink Policy Design - Experience of working with restraints of Computer Security Incident Response Team (CSIRT) Security Requirements - Design experience within a Cloud-native environment and providing solutions which are affordable, good value and meet security and other relevant standards relating to Critical National Infrastructure (CNI) - Architect required to create HLD, LLD and Build Scripts: Cisco NXOS underlay (not ACI) for which requirements are for a NSXT overlay. Virtual Network Microsegmentation, Integration with SDWAN, Network Packet Capture and Inspection. - Conduct testing and reporting result This is an excellent opportunity on a great project of work, if you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
17/05/2024
Project-based
*SC Cleared* Network Architect 4 Month contract initially Hybrid - Warwick, Corsham, Farnborough £625 - £675 p/d (Via Umbrella-PAYE) We have a great opportunity with a world leading organisation, a true leader in their field. We are looking for a Network Architect to join the successful team on a fantastic, long-term program of work. Key Responsibilities: Virtual Network Solution Design Architect with experience of designing and building NSX-T services for workload domains within the VMware Software Defined Datacentres (SDDC) This would include the deployment of NSX Global Manager nodes to support NSX Federation across VMware Cloud Foundation instances. Key Skills & Experience: - Experience of NSX Edge virtual appliance deployment by using SDDC Manager, Deployment and life cycle management by using SDDC Manager workflows and NSX Manager with Automated password management using SDDC Manager. - Experience of vSphere HA recovery used across availability zones. - Experience of Uplink Policy Design - Experience of working with restraints of Computer Security Incident Response Team (CSIRT) Security Requirements - Design experience within a Cloud-native environment and providing solutions which are affordable, good value and meet security and other relevant standards relating to Critical National Infrastructure (CNI) - Architect required to create HLD, LLD and Build Scripts: Cisco NXOS underlay (not ACI) for which requirements are for a NSXT overlay. Virtual Network Microsegmentation, Integration with SDWAN, Network Packet Capture and Inspection. - Conduct testing and reporting result This is an excellent opportunity on a great project of work, if you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
17/05/2024
Full time
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
Job Title: UK Oracle Cloud Time and Labour Consultant Contract: 6-Month Overview We are seeking an experienced Oracle Cloud Time and Labour Consultant for a 6-month contract to lead the delivery of Oracle Cloud Time and Labour (T&L) implementations in the UK. The ideal candidate will have a proven track record of at least two full-cycle implementations, preferably within the UK public sector. Experience in UK Compensation is also preferred. This role demands a proactive, hands-on professional who can deliver high-quality solutions within a limited timeframe . Key Responsibilities Lead Implementations: Manage and execute the end-to-end delivery of Oracle Cloud Time and Labour modules, ensuring successful and timely implementation. Client Collaboration: Engage with clients to understand their business processes and requirements, particularly within the UK public sector, and provide expert guidance. Solution Design and Configuration: Design, configure, and customize Oracle Cloud T&L solutions to meet client-specific needs. Integration: Ensure seamless integration of Oracle Cloud T&L with other Oracle Cloud modules and third-party systems. Troubleshooting: Identify, analyze, and resolve any issues that arise during the implementation process to ensure optimal system performance. Training and Documentation: Provide comprehensive training to end-users and develop detailed documentation to support system usage and maintenance. Continuous Improvement: Stay informed about the latest Oracle Cloud releases and updates, incorporating new features and best practices into implementations. Qualifications Experience: Minimum of 3-5 years of experience with Oracle Cloud Time and Labour, with at least two successful full-cycle implementations, preferably in the UK public sector. Experience in UK Compensation is a strong advantage. Technical Proficiency: Deep understanding of Oracle Cloud HCM suite, specifically Time and Labour functionalities. Knowledge of SQL, PL/SQL, and Oracle Cloud reporting tools is beneficial. Project Management: Demonstrated ability to lead projects, manage timelines, and deliver within a set timeframe. Analytical Skills: Strong problem-solving skills with the ability to troubleshoot and resolve complex issues. Communication Skills: Excellent verbal and written communication skills, capable of conveying complex information clearly to diverse stakeholders. Certifications: Oracle Cloud certifications in Time and Labour or HCM are highly desirable. Personal Attributes Client-focused: Dedicated to understanding and fulfilling client needs and expectations. Proactive: Takes initiative and ownership to drive projects forward and resolve issues independently. Collaborative: Works effectively with cross-functional teams and fosters a positive, productive work environment. Adaptable: Flexible in adapting to changing business requirements and learning new technologies. Contract Details Duration: 6 months Location: UK (with potential for remote work depending on client requirements) Compensation: Competitive daily rate, commensurate with experience and qualifications Application Process Join our team for a challenging and rewarding opportunity to deliver impactful Oracle Cloud solutions within the UK public sector! This job description outlines the essential duties and qualifications for the Oracle Cloud Time and Labour Consultant role. It is intended to serve as a guideline and may be subject to adjustments based on the company's evolving needs.
17/05/2024
Project-based
Job Title: UK Oracle Cloud Time and Labour Consultant Contract: 6-Month Overview We are seeking an experienced Oracle Cloud Time and Labour Consultant for a 6-month contract to lead the delivery of Oracle Cloud Time and Labour (T&L) implementations in the UK. The ideal candidate will have a proven track record of at least two full-cycle implementations, preferably within the UK public sector. Experience in UK Compensation is also preferred. This role demands a proactive, hands-on professional who can deliver high-quality solutions within a limited timeframe . Key Responsibilities Lead Implementations: Manage and execute the end-to-end delivery of Oracle Cloud Time and Labour modules, ensuring successful and timely implementation. Client Collaboration: Engage with clients to understand their business processes and requirements, particularly within the UK public sector, and provide expert guidance. Solution Design and Configuration: Design, configure, and customize Oracle Cloud T&L solutions to meet client-specific needs. Integration: Ensure seamless integration of Oracle Cloud T&L with other Oracle Cloud modules and third-party systems. Troubleshooting: Identify, analyze, and resolve any issues that arise during the implementation process to ensure optimal system performance. Training and Documentation: Provide comprehensive training to end-users and develop detailed documentation to support system usage and maintenance. Continuous Improvement: Stay informed about the latest Oracle Cloud releases and updates, incorporating new features and best practices into implementations. Qualifications Experience: Minimum of 3-5 years of experience with Oracle Cloud Time and Labour, with at least two successful full-cycle implementations, preferably in the UK public sector. Experience in UK Compensation is a strong advantage. Technical Proficiency: Deep understanding of Oracle Cloud HCM suite, specifically Time and Labour functionalities. Knowledge of SQL, PL/SQL, and Oracle Cloud reporting tools is beneficial. Project Management: Demonstrated ability to lead projects, manage timelines, and deliver within a set timeframe. Analytical Skills: Strong problem-solving skills with the ability to troubleshoot and resolve complex issues. Communication Skills: Excellent verbal and written communication skills, capable of conveying complex information clearly to diverse stakeholders. Certifications: Oracle Cloud certifications in Time and Labour or HCM are highly desirable. Personal Attributes Client-focused: Dedicated to understanding and fulfilling client needs and expectations. Proactive: Takes initiative and ownership to drive projects forward and resolve issues independently. Collaborative: Works effectively with cross-functional teams and fosters a positive, productive work environment. Adaptable: Flexible in adapting to changing business requirements and learning new technologies. Contract Details Duration: 6 months Location: UK (with potential for remote work depending on client requirements) Compensation: Competitive daily rate, commensurate with experience and qualifications Application Process Join our team for a challenging and rewarding opportunity to deliver impactful Oracle Cloud solutions within the UK public sector! This job description outlines the essential duties and qualifications for the Oracle Cloud Time and Labour Consultant role. It is intended to serve as a guideline and may be subject to adjustments based on the company's evolving needs.
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
17/05/2024
Full time
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
17/05/2024
Full time
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
17/05/2024
Full time
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
Role Title: SAS Analyst Duration: 6 months Location: London/Hybrid (2 days on site) Rate: £324/d - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Focussed on writing code, taking direction from AVP roles for how to approach thinking about the integration of data. This role would be more focussed on the day-to-day coding and documentation. This role requires the ability to be given a task and self-direct to obtain relevant documentation from various places, ask questions from SMEs to fill in the gaps, and collate into useful guidance for the rest of team Key Skills/requirements SAS code techniques SQL code techniques Ideally working knowledge of : credit card billing credit card risk basics credit card ECM credit card underwriting Hadoop code techniques All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
17/05/2024
Project-based
Role Title: SAS Analyst Duration: 6 months Location: London/Hybrid (2 days on site) Rate: £324/d - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Focussed on writing code, taking direction from AVP roles for how to approach thinking about the integration of data. This role would be more focussed on the day-to-day coding and documentation. This role requires the ability to be given a task and self-direct to obtain relevant documentation from various places, ask questions from SMEs to fill in the gaps, and collate into useful guidance for the rest of team Key Skills/requirements SAS code techniques SQL code techniques Ideally working knowledge of : credit card billing credit card risk basics credit card ECM credit card underwriting Hadoop code techniques All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
SC Cleared Platform SME Duration until: 16/08/2024 4-5 days a week onsite in Farnborough and then Corsham £610 Via Umbrella Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Skilled Platform Subject Matter Expert (SME) to understand low level designs, create and implement build scripts, conduct testing and validation for a on-premises VMware infrastructure. The following technology will be used to automate infrastructure as code - Terraform, Ansible and PowerShell DSC. Collaboration and guide architects and clients to outline best practise to deliver Windows and Red Hat Linux virtual machines as code. Potential for scope to include other virtual infrastructure and network devices. Skills Required: - Proficient in writing, deploying and troubleshooting Terraform Configuration files, - Proficient in writing, deploying and troubleshooting Ansible Playbooks/YAML files, - Proficient in writing, deploying and troubleshooting PowerShell DSC MOFs and PowerShell Scripts - Understanding of Integration with VMware platform - Experience with version control system such as Git Preferred : - Knowledge and some skill with other configuration management tools such as Chef, Puppet, Salt Stack All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
17/05/2024
Project-based
SC Cleared Platform SME Duration until: 16/08/2024 4-5 days a week onsite in Farnborough and then Corsham £610 Via Umbrella Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Skilled Platform Subject Matter Expert (SME) to understand low level designs, create and implement build scripts, conduct testing and validation for a on-premises VMware infrastructure. The following technology will be used to automate infrastructure as code - Terraform, Ansible and PowerShell DSC. Collaboration and guide architects and clients to outline best practise to deliver Windows and Red Hat Linux virtual machines as code. Potential for scope to include other virtual infrastructure and network devices. Skills Required: - Proficient in writing, deploying and troubleshooting Terraform Configuration files, - Proficient in writing, deploying and troubleshooting Ansible Playbooks/YAML files, - Proficient in writing, deploying and troubleshooting PowerShell DSC MOFs and PowerShell Scripts - Understanding of Integration with VMware platform - Experience with version control system such as Git Preferred : - Knowledge and some skill with other configuration management tools such as Chef, Puppet, Salt Stack All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
17/05/2024
Full time
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Full time
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
The ideal candidate will be someone with experience of delivering large scale Identity and access management capabilities preferably in secure public sector environments. Experience and skills: Effective decision making and the ability to understand, solve and resolve technical challenges across varying levels of complexity and risk Takes responsible for leading the technical design of systems and services, justify and communicate design decisions Has experience of the identity and access management domain, including authentication protocols (OAuth, OpenID Connect and SAML) and account life cycle Comfortable with Java application stacks, REST API, Linux virtual server environments, cloud hosting (eg AWS or Azure), IP Networking, configuration of ports and Firewalls, DNS, certificates Provide technical leadership to the build teams and drive the value delivery in iterative dev/test cycles. Undertake structured analysis of technical issues and translating this analysis into technical designs that describe the required solution Identify opportunities to collaborate and reuse components, communicating with both technical and non-technical stakeholders Excellent communication and presentation skills and the ability to collaborate with senior stakeholders and 3rd parties providing technical direction and establishing agreements Able to provide technical leadership, guide and mentor the development team to build solutions according to the design Able to assimilate vendor product integration requirements and make design and technical decisions for optimal use of off-the-shelf and custom Java components, ensuring high performant systems, scalability and maintainability. Technical governance and the assurance of required digital identity services ensuring best practices are followed Good working knowledge of open source and Java technologies, including APIs and microservices Able to interact with and guide a skilled DevSecOps team Agile development methods - Scrum, Kanban, TDD, BDD, etc.
17/05/2024
Full time
The ideal candidate will be someone with experience of delivering large scale Identity and access management capabilities preferably in secure public sector environments. Experience and skills: Effective decision making and the ability to understand, solve and resolve technical challenges across varying levels of complexity and risk Takes responsible for leading the technical design of systems and services, justify and communicate design decisions Has experience of the identity and access management domain, including authentication protocols (OAuth, OpenID Connect and SAML) and account life cycle Comfortable with Java application stacks, REST API, Linux virtual server environments, cloud hosting (eg AWS or Azure), IP Networking, configuration of ports and Firewalls, DNS, certificates Provide technical leadership to the build teams and drive the value delivery in iterative dev/test cycles. Undertake structured analysis of technical issues and translating this analysis into technical designs that describe the required solution Identify opportunities to collaborate and reuse components, communicating with both technical and non-technical stakeholders Excellent communication and presentation skills and the ability to collaborate with senior stakeholders and 3rd parties providing technical direction and establishing agreements Able to provide technical leadership, guide and mentor the development team to build solutions according to the design Able to assimilate vendor product integration requirements and make design and technical decisions for optimal use of off-the-shelf and custom Java components, ensuring high performant systems, scalability and maintainability. Technical governance and the assurance of required digital identity services ensuring best practices are followed Good working knowledge of open source and Java technologies, including APIs and microservices Able to interact with and guide a skilled DevSecOps team Agile development methods - Scrum, Kanban, TDD, BDD, etc.
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
17/05/2024
Full time
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
Cyber Security Management - Incident Response, Security Monitoring, Threat Modelling Frameworks, NIST, Kill Chain, Attack Lifecycle, MITRE, Windows, UNIX, Stratus, Networks, SIEM, IAM, DLP I am looking for a Cyber Security professional for my client who is a leading investment bank based in London. You will join the Information Risk Management Department which is responsible for security admin, information security practices, third-party risk management, and cyber security services within the bank. Key responsibilities: Monitoring & Compliance Develop and refine security monitoring controls to detect anomalies and incidents. Monitor and report suspicious activity, conduct IR investigations, and escalate security incidents. Utilize IR and Forensics tools for incident analysis. Security Engagement & Best Practice Collaborate with penetration testing programs and other departments to mitigate security risks. Develop Incident Response and Threat-hunting capabilities, including frameworks like Kill Chain and MITRE. Enhance Threat Intelligence integration and implement custom IOCs for monitoring. Other Provide cybersecurity expertise as needed. Contribute to security monitoring effectiveness reporting. Be available for coverage from 7 am to 7 pm on business days, with potential for ad-hoc coverage outside regular hours. Key Skills: Incident Response & Security Monitoring Threat modelling frameworks Experience in banking/Investment Banking Managing cyber security incidents NIST, Kill Chain, Attack life cycle, MITRE Cloud Security Assessments Windows Server, Windows XP, UNIX, Stratus Networks - LAN, WAN, Routers, Switches, Firewalls, remote access SIEM Tools IAM Solutions - DLP This is a Full time role at AVP level within the bank offering a salary of £65k plus a bonus. You will be required to be in the office 3 days per week which is in central London. If you're interested please get in contact. Cyber Security Management - Incident Response, Security Monitoring, Threat Modelling Frameworks, NIST, Kill Chain, Attack Lifecycle, MITRE, Windows, UNIX, Stratus, Networks, SIEM, IAM, DLP
17/05/2024
Full time
Cyber Security Management - Incident Response, Security Monitoring, Threat Modelling Frameworks, NIST, Kill Chain, Attack Lifecycle, MITRE, Windows, UNIX, Stratus, Networks, SIEM, IAM, DLP I am looking for a Cyber Security professional for my client who is a leading investment bank based in London. You will join the Information Risk Management Department which is responsible for security admin, information security practices, third-party risk management, and cyber security services within the bank. Key responsibilities: Monitoring & Compliance Develop and refine security monitoring controls to detect anomalies and incidents. Monitor and report suspicious activity, conduct IR investigations, and escalate security incidents. Utilize IR and Forensics tools for incident analysis. Security Engagement & Best Practice Collaborate with penetration testing programs and other departments to mitigate security risks. Develop Incident Response and Threat-hunting capabilities, including frameworks like Kill Chain and MITRE. Enhance Threat Intelligence integration and implement custom IOCs for monitoring. Other Provide cybersecurity expertise as needed. Contribute to security monitoring effectiveness reporting. Be available for coverage from 7 am to 7 pm on business days, with potential for ad-hoc coverage outside regular hours. Key Skills: Incident Response & Security Monitoring Threat modelling frameworks Experience in banking/Investment Banking Managing cyber security incidents NIST, Kill Chain, Attack life cycle, MITRE Cloud Security Assessments Windows Server, Windows XP, UNIX, Stratus Networks - LAN, WAN, Routers, Switches, Firewalls, remote access SIEM Tools IAM Solutions - DLP This is a Full time role at AVP level within the bank offering a salary of £65k plus a bonus. You will be required to be in the office 3 days per week which is in central London. If you're interested please get in contact. Cyber Security Management - Incident Response, Security Monitoring, Threat Modelling Frameworks, NIST, Kill Chain, Attack Lifecycle, MITRE, Windows, UNIX, Stratus, Networks, SIEM, IAM, DLP
We are seeking a talented and experienced Lead Salesforce Pardot Specialist to join our team remotely and lead our Pardot implementation for an international client as part of a digital transformation initiative. Responsibilities: Lead Pardot configuration and customization. Design complex automation workflows. Develop and oversee email marketing campaigns. Collaborate for Pardot integration with other Salesforce clouds. Provide technical leadership and mentorship. Analyze campaign performance metrics. Requirements: Proven leadership in Salesforce Pardot. Proficiency in Salesforce administration. Hands-on experience with Pardot and Marketing Cloud is a plus. Strong analytical and communication skills. Salesforce Pardot certification(s) preferred. Feel free to contact me directly if you are interested!
17/05/2024
Project-based
We are seeking a talented and experienced Lead Salesforce Pardot Specialist to join our team remotely and lead our Pardot implementation for an international client as part of a digital transformation initiative. Responsibilities: Lead Pardot configuration and customization. Design complex automation workflows. Develop and oversee email marketing campaigns. Collaborate for Pardot integration with other Salesforce clouds. Provide technical leadership and mentorship. Analyze campaign performance metrics. Requirements: Proven leadership in Salesforce Pardot. Proficiency in Salesforce administration. Hands-on experience with Pardot and Marketing Cloud is a plus. Strong analytical and communication skills. Salesforce Pardot certification(s) preferred. Feel free to contact me directly if you are interested!