Senior Cyber Security Architect Salary upto £80,000 Description: Since our establishment in 1990, Methods has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to improve and safeguard public-facing services. We apply digital thinking to ensure the future of our public services is centred around our citizens. Our human touch sets us apart from other consultancies, system integrators and software houses - we have a customer-centric value system whereby we focus on delivering what is right for our clients. We passionately support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Methods are experts in delivering secure, resilient cyber and information services - keeping systems and data safe. We help reduce risk and vulnerabilities from cyber-attacks by developing a security road-map tailored to your unique needs. We help organisations improve processes such as threat management by building an identity management programme, and establishing prevention, detection and response capabilities to cyber-attacks. Requirements Ability to research, articulate, pitch complex and innovative security advice, at both business and technical levels, for new or existing problems, with the objective to justify and communicate decisions directly to key customer stakeholders including senior management. Able to understand and comprehend the impact of decisions, balancing requirements and deciding between approaches Develop vision, principles and strategy for security for multiple projects or technologies; working in a particular field as subject matter expert, to support a team in delivering engagements at scale, which may require subtle security needs and requirements, contributing to development of information security policy, standards, procedures and guidelines. Effective business acumen and an understanding of the cyber security challenges faced by client, with the objective to develop our cyber assurance practice, by supporting business development and practice management. Experience of identifying and applying security risk and familiarity with common control frameworks, with the ability investigating major breaches of security and recommending appropriate control improvements. Maintaining awareness of key business and industry trends and understanding how they impact responses to cyber risk, with the contribution of the development of our team through training and coaching. Managing, delivering, leading cyber security and cyber risk assignments, with the management of portfolio of clients, across a variety of sectors and locations, including producing documentation, presentation, reports, recommendations and quality assuring, for the work produced by team members and being the point of escalation for lower grade roles. Providing our clients with trusted advice, rooted in a pragmatic and agnostic understanding of their business situation and objectives, to help them navigate complex, risk-driven cyber decisions. Working as a subject matter expert in your particular field, owning and delivering initiatives to embed quality through learning and other activity, working seamlessly and collaboratively with colleagues and clients from other service lines, supporting a team or colleagues to deliver engagements at scale, with the appropriate reach and influence across the teams and communities. Managing diverse teams within an inclusive team culture where people are recognised and encouraged for their contribution. Essential Skills and Experience: An experienced consultant with a background in Cyber Security Minimum 5-7 years of experience in Information Security related positions Minimum 3-5 years of experience in security architecture Cyber Security Certification eg ISC2 CISSP, ISC2 CCSP, ISACA CISM or similar Certification in AWS or Azure for Architecture and Security or similar IASME/Cyber Essentials Plus Certified Expert knowledge of secure network architecture and technical design Experience in creating secure architecture in either AWS and/or Azure Experience providing expert strategy, risk and technical advice, guidance and support on cyber security, both in business-as-usual and for live and planned projects within our clients' business. Expected to be the point of escalation for architects in lower grade roles and lead technical design of systems and services Broad range of cyber and information security skills, knowledge and experience such as security threats and vulnerabilities that impact/and/or emanate from system hardware, software and other infrastructure components, and relevant strategies, controls and activities to prevent, mitigate, detect and resolve security incidents affecting system hardware, software and other infrastructure components. Experience in gap analysis for specific domains, identify gaps in existing capabilities, service maturity. Identify missing cybersecurity and cyber-resiliency capabilities in alignment with changing business needs, threat land scape and technical requirements to increase the quality of the selected solutions also including topics such as products' convergence over time and products decommissioning. Expert knowledge of identifying, developing and communicating threat modelling and understanding the impact of decisions, balancing requirements and deciding between approaches Research and apply innovative security architecture solutions to new or existing problems and be able to justify and communicate subtle design decisions Able to develop vision, principles and strategy for security architects for projects or technologies Demonstrably experienced in working as an effective member of a multi-disciplinary team and reach & influence a wide range of people across larger teams and communities. Excellent stakeholder management, presentation and communication skills, with the ability to interact with senior stakeholders across department and clients Pro-active approach to personal and professional development. Work closely with your peers in the security architecture group, service and solution architects, engineers, project teams. Must hold, or be able to hold, an HMG Security Check (SC) clearance. Ability to apply standards, practices, codes and assessment of certification programmes relevant to the IT industry and the specific organisation or business domain. Experience in writing and creating Cyber Security documents ie Risk Assessments, ESRM, DPIA etc and produce particular patterns and support quality assurance Knowledge of the IT/IS infrastructure (eg databases and LANs) and the IT applications and service processes used within own organisation, including those associated with sustainability and efficiency. Ability to use any tool or system which provides security access control (eg Active Directory) Showing proficiency in the principles and application of cloud/virtualisation (including ownership responsibilities and security implications) and be able to use tools and systems to manage virtualised environments eg Server/desktop virtualisation and SDDC (Software Defined Data Centre). Benefits Holiday: 25 days a year, plus bank holidays, with the option to buy 5 extra days each year Pension: 4% employer contribution and 5% employee contribution Discretionary bonus: based on company and individual performance Life assurance: 4 times base salary Private medical insurance: non-contributory (spouse and dependants included) Worldwide travel insurance: non-contributory (spouse and dependants included) Enhanced maternity and paternity leave after 18 months service Wellness: 24/7 confidential employee assistance programme, including counselling Social: Parties and social events, and commitment to charitable causes Professional development: access to LinkedIn Learning, and discretionary training budget Travel: season ticket loan, cycle to work scheme Development access to LinkedIn Learning, a management development programme and training Wellness 24/7 Confidential employee assistance programme
18/06/2024
Full time
Senior Cyber Security Architect Salary upto £80,000 Description: Since our establishment in 1990, Methods has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to improve and safeguard public-facing services. We apply digital thinking to ensure the future of our public services is centred around our citizens. Our human touch sets us apart from other consultancies, system integrators and software houses - we have a customer-centric value system whereby we focus on delivering what is right for our clients. We passionately support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Methods are experts in delivering secure, resilient cyber and information services - keeping systems and data safe. We help reduce risk and vulnerabilities from cyber-attacks by developing a security road-map tailored to your unique needs. We help organisations improve processes such as threat management by building an identity management programme, and establishing prevention, detection and response capabilities to cyber-attacks. Requirements Ability to research, articulate, pitch complex and innovative security advice, at both business and technical levels, for new or existing problems, with the objective to justify and communicate decisions directly to key customer stakeholders including senior management. Able to understand and comprehend the impact of decisions, balancing requirements and deciding between approaches Develop vision, principles and strategy for security for multiple projects or technologies; working in a particular field as subject matter expert, to support a team in delivering engagements at scale, which may require subtle security needs and requirements, contributing to development of information security policy, standards, procedures and guidelines. Effective business acumen and an understanding of the cyber security challenges faced by client, with the objective to develop our cyber assurance practice, by supporting business development and practice management. Experience of identifying and applying security risk and familiarity with common control frameworks, with the ability investigating major breaches of security and recommending appropriate control improvements. Maintaining awareness of key business and industry trends and understanding how they impact responses to cyber risk, with the contribution of the development of our team through training and coaching. Managing, delivering, leading cyber security and cyber risk assignments, with the management of portfolio of clients, across a variety of sectors and locations, including producing documentation, presentation, reports, recommendations and quality assuring, for the work produced by team members and being the point of escalation for lower grade roles. Providing our clients with trusted advice, rooted in a pragmatic and agnostic understanding of their business situation and objectives, to help them navigate complex, risk-driven cyber decisions. Working as a subject matter expert in your particular field, owning and delivering initiatives to embed quality through learning and other activity, working seamlessly and collaboratively with colleagues and clients from other service lines, supporting a team or colleagues to deliver engagements at scale, with the appropriate reach and influence across the teams and communities. Managing diverse teams within an inclusive team culture where people are recognised and encouraged for their contribution. Essential Skills and Experience: An experienced consultant with a background in Cyber Security Minimum 5-7 years of experience in Information Security related positions Minimum 3-5 years of experience in security architecture Cyber Security Certification eg ISC2 CISSP, ISC2 CCSP, ISACA CISM or similar Certification in AWS or Azure for Architecture and Security or similar IASME/Cyber Essentials Plus Certified Expert knowledge of secure network architecture and technical design Experience in creating secure architecture in either AWS and/or Azure Experience providing expert strategy, risk and technical advice, guidance and support on cyber security, both in business-as-usual and for live and planned projects within our clients' business. Expected to be the point of escalation for architects in lower grade roles and lead technical design of systems and services Broad range of cyber and information security skills, knowledge and experience such as security threats and vulnerabilities that impact/and/or emanate from system hardware, software and other infrastructure components, and relevant strategies, controls and activities to prevent, mitigate, detect and resolve security incidents affecting system hardware, software and other infrastructure components. Experience in gap analysis for specific domains, identify gaps in existing capabilities, service maturity. Identify missing cybersecurity and cyber-resiliency capabilities in alignment with changing business needs, threat land scape and technical requirements to increase the quality of the selected solutions also including topics such as products' convergence over time and products decommissioning. Expert knowledge of identifying, developing and communicating threat modelling and understanding the impact of decisions, balancing requirements and deciding between approaches Research and apply innovative security architecture solutions to new or existing problems and be able to justify and communicate subtle design decisions Able to develop vision, principles and strategy for security architects for projects or technologies Demonstrably experienced in working as an effective member of a multi-disciplinary team and reach & influence a wide range of people across larger teams and communities. Excellent stakeholder management, presentation and communication skills, with the ability to interact with senior stakeholders across department and clients Pro-active approach to personal and professional development. Work closely with your peers in the security architecture group, service and solution architects, engineers, project teams. Must hold, or be able to hold, an HMG Security Check (SC) clearance. Ability to apply standards, practices, codes and assessment of certification programmes relevant to the IT industry and the specific organisation or business domain. Experience in writing and creating Cyber Security documents ie Risk Assessments, ESRM, DPIA etc and produce particular patterns and support quality assurance Knowledge of the IT/IS infrastructure (eg databases and LANs) and the IT applications and service processes used within own organisation, including those associated with sustainability and efficiency. Ability to use any tool or system which provides security access control (eg Active Directory) Showing proficiency in the principles and application of cloud/virtualisation (including ownership responsibilities and security implications) and be able to use tools and systems to manage virtualised environments eg Server/desktop virtualisation and SDDC (Software Defined Data Centre). Benefits Holiday: 25 days a year, plus bank holidays, with the option to buy 5 extra days each year Pension: 4% employer contribution and 5% employee contribution Discretionary bonus: based on company and individual performance Life assurance: 4 times base salary Private medical insurance: non-contributory (spouse and dependants included) Worldwide travel insurance: non-contributory (spouse and dependants included) Enhanced maternity and paternity leave after 18 months service Wellness: 24/7 confidential employee assistance programme, including counselling Social: Parties and social events, and commitment to charitable causes Professional development: access to LinkedIn Learning, and discretionary training budget Travel: season ticket loan, cycle to work scheme Development access to LinkedIn Learning, a management development programme and training Wellness 24/7 Confidential employee assistance programme
IT Engineer/Normalization Engineer | Long-Term Project | Financial Enterprise We are seeking an experienced IT Engineer for a long-term project in the financial sector. The candidate will play a crucial role in identifying and implementing the most effective approaches to enforce containment actions during cybersecurity crises within our infrastructure. This role involves designing and developing both technical and procedural implementations for manual execution, conducting feasibility studies, and identifying prerequisites and stakeholders. The candidate will also develop and document processes/procedures, conduct simulated testing, and ensure effective execution of these processes during cybersecurity incidents. Key Responsibilities: Containment Action Planning: Identify the most effective approaches to enforce containment actions in case of a cybersecurity crisis. Feasibility Studies: Conduct feasibility studies and identify prerequisites and stakeholders for containment actions. Process Design: Design technical and procedural implementations for manual execution of containment actions. Process Development: Develop processes and procedures for containment action execution, ensuring these are discussed and agreed upon with major stakeholders. Simulated Testing: Conduct simulated testing of developed processes and procedures to ensure effective execution during cybersecurity crises. Documentation: Ensure process/procedure documentation is agreed upon and approved by all stakeholders. Required Knowledge, Skills, and Competences: Enterprise Architecture: Good general knowledge of enterprise architecture across different domains such as Networks, Network Security, Identity and Access Management, Virtualized and BareMetal Infrastructures. Infrastructure Management: Practical experience in managing and administering infrastructure components (eg, Firewalls, Proxies, Active Directory, VMWare ESXi). Process Development: Experience in developing and documenting operational processes and procedures. Analytical Skills: Strong analytical thinking and a structured approach to problem-solving. Stakeholder Management: Excellent stakeholder management and communication skills. Problem-Solving: Critical mindset and problem-solving abilities. Adaptability: Ability to quickly adapt to changing environments and input requirements. Autonomy: Ability to work autonomously without step-by-step guidance. Cybersecurity: Strong cybersecurity mindset. Languages: Fluent in English. Technical Skills and Experience: Normalization Expertise: Experience with normalization, including field formatting, regular expressions (RegEx), inspection rules, and ACIM normalization schemas. Tools: Proficiency with tools such as MS Sentinel, KQL (Kusto Query Language), parsing, and large dataset onboarding. Automation: Experience in automating security incident response activities, integrating large sets of systems, and designing and engineering automation for actions such as isolating laptops, blocking websites/domains, and managing connectivity and permissions. System Integration: Deep knowledge of systems and the ability to connect and communicate with various stakeholders. Engineering & Design: Strong capabilities in engineering and designing systems with a focus on automation and scalability. Specific Tools: Proficiency with the Microsoft stack, Logic Apps, Service Bus, Python, network and Firewall configurations, proxies, Identity and Access Management concepts, Azure AD, and application gateways. Team Structure: Large team consisting of five subteams with specific focus areas, including incident response and detection engineering. Collaborate with the Product Owner (PO) and other stakeholders at both the architectural and engineering levels. Stakeholder Management: Engage with system owners to discuss and manage system limitations, blocking orders, and rule implementations. Conduct discussions and negotiations with various stakeholders to ensure the successful execution of cybersecurity measures. Education and Experience: Relevant education level in IT or a related field. Extensive experience in IT engineering, architecture, and cybersecurity. About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
17/06/2024
Project-based
IT Engineer/Normalization Engineer | Long-Term Project | Financial Enterprise We are seeking an experienced IT Engineer for a long-term project in the financial sector. The candidate will play a crucial role in identifying and implementing the most effective approaches to enforce containment actions during cybersecurity crises within our infrastructure. This role involves designing and developing both technical and procedural implementations for manual execution, conducting feasibility studies, and identifying prerequisites and stakeholders. The candidate will also develop and document processes/procedures, conduct simulated testing, and ensure effective execution of these processes during cybersecurity incidents. Key Responsibilities: Containment Action Planning: Identify the most effective approaches to enforce containment actions in case of a cybersecurity crisis. Feasibility Studies: Conduct feasibility studies and identify prerequisites and stakeholders for containment actions. Process Design: Design technical and procedural implementations for manual execution of containment actions. Process Development: Develop processes and procedures for containment action execution, ensuring these are discussed and agreed upon with major stakeholders. Simulated Testing: Conduct simulated testing of developed processes and procedures to ensure effective execution during cybersecurity crises. Documentation: Ensure process/procedure documentation is agreed upon and approved by all stakeholders. Required Knowledge, Skills, and Competences: Enterprise Architecture: Good general knowledge of enterprise architecture across different domains such as Networks, Network Security, Identity and Access Management, Virtualized and BareMetal Infrastructures. Infrastructure Management: Practical experience in managing and administering infrastructure components (eg, Firewalls, Proxies, Active Directory, VMWare ESXi). Process Development: Experience in developing and documenting operational processes and procedures. Analytical Skills: Strong analytical thinking and a structured approach to problem-solving. Stakeholder Management: Excellent stakeholder management and communication skills. Problem-Solving: Critical mindset and problem-solving abilities. Adaptability: Ability to quickly adapt to changing environments and input requirements. Autonomy: Ability to work autonomously without step-by-step guidance. Cybersecurity: Strong cybersecurity mindset. Languages: Fluent in English. Technical Skills and Experience: Normalization Expertise: Experience with normalization, including field formatting, regular expressions (RegEx), inspection rules, and ACIM normalization schemas. Tools: Proficiency with tools such as MS Sentinel, KQL (Kusto Query Language), parsing, and large dataset onboarding. Automation: Experience in automating security incident response activities, integrating large sets of systems, and designing and engineering automation for actions such as isolating laptops, blocking websites/domains, and managing connectivity and permissions. System Integration: Deep knowledge of systems and the ability to connect and communicate with various stakeholders. Engineering & Design: Strong capabilities in engineering and designing systems with a focus on automation and scalability. Specific Tools: Proficiency with the Microsoft stack, Logic Apps, Service Bus, Python, network and Firewall configurations, proxies, Identity and Access Management concepts, Azure AD, and application gateways. Team Structure: Large team consisting of five subteams with specific focus areas, including incident response and detection engineering. Collaborate with the Product Owner (PO) and other stakeholders at both the architectural and engineering levels. Stakeholder Management: Engage with system owners to discuss and manage system limitations, blocking orders, and rule implementations. Conduct discussions and negotiations with various stakeholders to ensure the successful execution of cybersecurity measures. Education and Experience: Relevant education level in IT or a related field. Extensive experience in IT engineering, architecture, and cybersecurity. About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
Associate Technical Director - Cambridge - 100k Company We are working with a leading game developer and publisher who are expanding its technical team, driven by innovation and excellence in game development. Role They are looking for an Associate Technical Director with a strong background in game development, system architecture, and team leadership to join their dynamic team in Cambridge. Your Responsibilities Collaborate with game developers, designers, and other technical directors to define and implement the technical vision and strategy for current and future projects. Oversee and mentor a team of engineers to ensure the delivery of high-quality code and robust technical solutions. Develop and maintain scalable and efficient game systems and architectures, applying advanced programming principles to enhance features, develop tools, and streamline workflows Key Skills Minimum 5+ years of technical leadership experience in the game development industry, spanning AAA and indie studios. Proficiency with game engines like Unreal Engine, Unity, and custom C++ engines, along with strong programming skills in C++, C#, Python, and VR development. Proven abilities in problem-solving, proactive leadership, and effective communication of complex technical concepts, coupled with experience in mentoring engineering teams, fostering innovation, and driving technical excellence. Benefits Competitive Base Salary Discretionary Bonus Private Medical Insurance Private Dental Insurance Hybrid/Flexible Working Sponsorship cannot be offered for this role. Apply below with an up-to-date CV to set up an initial call.
17/06/2024
Full time
Associate Technical Director - Cambridge - 100k Company We are working with a leading game developer and publisher who are expanding its technical team, driven by innovation and excellence in game development. Role They are looking for an Associate Technical Director with a strong background in game development, system architecture, and team leadership to join their dynamic team in Cambridge. Your Responsibilities Collaborate with game developers, designers, and other technical directors to define and implement the technical vision and strategy for current and future projects. Oversee and mentor a team of engineers to ensure the delivery of high-quality code and robust technical solutions. Develop and maintain scalable and efficient game systems and architectures, applying advanced programming principles to enhance features, develop tools, and streamline workflows Key Skills Minimum 5+ years of technical leadership experience in the game development industry, spanning AAA and indie studios. Proficiency with game engines like Unreal Engine, Unity, and custom C++ engines, along with strong programming skills in C++, C#, Python, and VR development. Proven abilities in problem-solving, proactive leadership, and effective communication of complex technical concepts, coupled with experience in mentoring engineering teams, fostering innovation, and driving technical excellence. Benefits Competitive Base Salary Discretionary Bonus Private Medical Insurance Private Dental Insurance Hybrid/Flexible Working Sponsorship cannot be offered for this role. Apply below with an up-to-date CV to set up an initial call.
- Start Date: ASAP - Duration: 1 year, extensions possible - Location of work: Onsite in AMSTERDAM ZUID W e are looking for a Senior First Line Support COTS for multinational client in Amsterdam ( AMSTERDAM ZUID) Task description: Resolution of Incidents and Service requests. Installation of software . Administer day-to-day operations to satisfy continuity of service, recovery, security and performance needs. Application troubleshooting, deployments, minor configuration changes. End-to-end infrastructure/application monitoring. Job requirements: Bachelor degree of 3 years attested by a diploma, in Computer Science; Proven experience in the following: 1st Line IT Service Desk experience of minimum 4 years Direct customer service experience of minimum 4 years Active Directory (Microsoft and Azure) Office Tools (Excel, Word, etc ) ITSM Tools (Jira or Service Now) Windows Software installations Microsoft Teams Hardware troubleshooting Microsoft 365+ Hardware support Azure VDI Bitlocker VPN Network troubleshooting Professional Certificates (several are required): ITIL V4 Microsoft Technology Associate (MTA) Microsoft Solutions Associate (MCSA) & Microsoft Solutions Expert (MCSE) Microsoft Azure Certificates Microsoft 365 Certificates CompTIA A+ Technical PC or similar certifications Microsoft Certified IT Professional (MCITP) MS Windows setup, configuration, troubleshooting MS Teams Document management and MS SharePoint Good experience in User support, Change support, Service Delivery, Problem Management; Experience in Testing, Information and Knowledge Management, Information Security Management ; Good knowledge of Component Integration and Solution Deployment; Good understanding of IT security and best practices; Experience working in a multicultural environment; Strong communications skills; English is mandatory (minimum level B2); Experience in communicating in English with non-native English speakers; Ability to provide support over the phone; excellent phone conversation skills, professional demeanour; Good organizational skills and the ability to work responsibly with or without direct supervision; Team player with a willingness to offer and provide help to non-technical users; Ability to build good and strong relationships with the End-User base Ability to work in unusual situations, flexibility and a willingness to undertake tasks not directly related to the job description; Ability to exercise patience and to remain composed and professional always and especially when under pressure; Ability to handle a constantly changing flow of traffic; remain productive during slow times, be able to multitask effectively during busy times; Good problem-solving skills; ability to visualize a problem or situation and think abstractly to solve it; Working knowledge of common operating systems and software/Audio-visual applications .
17/06/2024
Project-based
- Start Date: ASAP - Duration: 1 year, extensions possible - Location of work: Onsite in AMSTERDAM ZUID W e are looking for a Senior First Line Support COTS for multinational client in Amsterdam ( AMSTERDAM ZUID) Task description: Resolution of Incidents and Service requests. Installation of software . Administer day-to-day operations to satisfy continuity of service, recovery, security and performance needs. Application troubleshooting, deployments, minor configuration changes. End-to-end infrastructure/application monitoring. Job requirements: Bachelor degree of 3 years attested by a diploma, in Computer Science; Proven experience in the following: 1st Line IT Service Desk experience of minimum 4 years Direct customer service experience of minimum 4 years Active Directory (Microsoft and Azure) Office Tools (Excel, Word, etc ) ITSM Tools (Jira or Service Now) Windows Software installations Microsoft Teams Hardware troubleshooting Microsoft 365+ Hardware support Azure VDI Bitlocker VPN Network troubleshooting Professional Certificates (several are required): ITIL V4 Microsoft Technology Associate (MTA) Microsoft Solutions Associate (MCSA) & Microsoft Solutions Expert (MCSE) Microsoft Azure Certificates Microsoft 365 Certificates CompTIA A+ Technical PC or similar certifications Microsoft Certified IT Professional (MCITP) MS Windows setup, configuration, troubleshooting MS Teams Document management and MS SharePoint Good experience in User support, Change support, Service Delivery, Problem Management; Experience in Testing, Information and Knowledge Management, Information Security Management ; Good knowledge of Component Integration and Solution Deployment; Good understanding of IT security and best practices; Experience working in a multicultural environment; Strong communications skills; English is mandatory (minimum level B2); Experience in communicating in English with non-native English speakers; Ability to provide support over the phone; excellent phone conversation skills, professional demeanour; Good organizational skills and the ability to work responsibly with or without direct supervision; Team player with a willingness to offer and provide help to non-technical users; Ability to build good and strong relationships with the End-User base Ability to work in unusual situations, flexibility and a willingness to undertake tasks not directly related to the job description; Ability to exercise patience and to remain composed and professional always and especially when under pressure; Ability to handle a constantly changing flow of traffic; remain productive during slow times, be able to multitask effectively during busy times; Good problem-solving skills; ability to visualize a problem or situation and think abstractly to solve it; Working knowledge of common operating systems and software/Audio-visual applications .
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.
14/06/2024
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.
14/06/2024
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.
14/06/2024
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.
14/06/2024
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.
14/06/2024
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.
14/06/2024
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.
IT Engineer | Long Term Project | Financial Sector We are seeking a skilled IT Engineer for a long-term project in the financial sector. The ideal candidate will have experience in enterprise architecture and infrastructure management. This role focuses on developing and implementing containment actions and procedures for cyber security crises. Key Responsibilities: Cyber Security Crisis Management: Identify and enforce effective containment actions. Conduct feasibility studies and identify prerequisites and stakeholders. Design technical and procedural implementation plans for manual execution. Process and Procedure Development: Develop and document detailed containment action processes and procedures. Collaborate with stakeholders to ensure agreement and approval. Required Skills and Competences: Broad knowledge of enterprise architecture (Networks, Network Security, Identity and Access Management, Virtualized and Bare-Metal Infrastructures). Experience in managing infrastructure components (Firewalls, Proxies, Active Directory, VMWare ESXi). Experience in developing and documenting operational processes. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Ability to work autonomously and adapt quickly. Cyber security awareness. Fluent in English About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
14/06/2024
Project-based
IT Engineer | Long Term Project | Financial Sector We are seeking a skilled IT Engineer for a long-term project in the financial sector. The ideal candidate will have experience in enterprise architecture and infrastructure management. This role focuses on developing and implementing containment actions and procedures for cyber security crises. Key Responsibilities: Cyber Security Crisis Management: Identify and enforce effective containment actions. Conduct feasibility studies and identify prerequisites and stakeholders. Design technical and procedural implementation plans for manual execution. Process and Procedure Development: Develop and document detailed containment action processes and procedures. Collaborate with stakeholders to ensure agreement and approval. Required Skills and Competences: Broad knowledge of enterprise architecture (Networks, Network Security, Identity and Access Management, Virtualized and Bare-Metal Infrastructures). Experience in managing infrastructure components (Firewalls, Proxies, Active Directory, VMWare ESXi). Experience in developing and documenting operational processes. Strong analytical and problem-solving skills. Excellent stakeholder management and communication skills. Ability to work autonomously and adapt quickly. Cyber security awareness. Fluent in English About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
13/06/2024
Full time
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
Profile: Functioning within the Operations Directorate in the UK and Europe, this role directs the design and development of processes, instruments and equipment from the laboratory through Manufacturing processes. Furthermore, this role will be responsible for identification, deployment and governance of clinical information technologies needed to support product development processes as well as directing and/or supporting technology initiatives and strategic vendor interactions. Manage equipment acquisition/validation, process development/validation and activities associated with R&D plant. This role ensures that technology solutions meet the business requirements and fit within the overall systems architecture landscape. This role will work closely with business leaders, end user community, UK partners, vendors and service providers to ensure delivery of technology solutions that support the business strategy and operations. While this role does not have direct reports, it does have responsibility for leading cross-functional project teams and overseeing contractors. Main Duties: IT Logistics Development Duties: 1. Analyse, document, and optimize business processes and ensure fit with the existing and/or proposed solutions 2. Identify solutions that meet the requirements from the business 3. Collaborate with our client's functional leads in understanding available solutions already deployed that can be leveraged to meet a business need 4. Lead creation of business case for governance review 5. Develop appropriate project plans including timeline, resource plan, riskplan, stakeholder plan, communications plan, financial plans and business case 6. Ensure stakeholder alignment for these plans 7. Define and create project teams, including vendors and contingent workers as needed 8. Manage plan, holding appropriate stakeholders accountable for the irrespective deliverables 9. Sign off on functional solution by validating use cases, conceptual data design, screen design, supplementary requirements etc. 10. Partner with Compliance and Validation resources as needed to drive change control and system validation activities 11. Ensure delivery of projects acting as single point of contact 12. Manage the plan to deliver on-time, on-scope, and on-budget 13. Maintain stakeholder alignment throughout the project 14. Facilitate appropriate forums to manage project dependencies and integrations 15. Rapidly address issues and facilitates to successful resolution 16. Effectively communicate project status via defined process and tools 17. Effectively transition project into steady state working with the IS Operations Lead 18. Build and maintain good working relationships with the business leads and the user base Engineering Logistics Setup 1. Oversee schedules, supplies, materials, equipment and manpower requirements in the pilot plant, and recommend programs to maximize project success, improve productivity, quality and efficiency of the R&D plant operations. 2. Provide technical leadership in the areas of process development, process validation and equipment validation with a focus on solid oral dosage forms 3. Provide functional leadership for all technology transfer related projects to assure timely scale-up and launch of new products. 4. Set up and maintain tracking system for each product defining critical process parameters 5. Responsible for writing technical summaries and process development/validation reports, author/review/approve compliant documentations (SOPs, manufacturing batch records and validation protocols) 6. Prepares, reviews and approve sections of Technical submissions when required 7. Develops and implements equipment installation/operation/performance qualifications activities in the pilot plant 8. Ensures budgets and schedules meet corporate requirements 9. Assesses utilization resources and identifies when, and where additional resources may be needed 10. Ensure staff members are appropriately trained and training records are maintained at current required levels
13/06/2024
Project-based
Profile: Functioning within the Operations Directorate in the UK and Europe, this role directs the design and development of processes, instruments and equipment from the laboratory through Manufacturing processes. Furthermore, this role will be responsible for identification, deployment and governance of clinical information technologies needed to support product development processes as well as directing and/or supporting technology initiatives and strategic vendor interactions. Manage equipment acquisition/validation, process development/validation and activities associated with R&D plant. This role ensures that technology solutions meet the business requirements and fit within the overall systems architecture landscape. This role will work closely with business leaders, end user community, UK partners, vendors and service providers to ensure delivery of technology solutions that support the business strategy and operations. While this role does not have direct reports, it does have responsibility for leading cross-functional project teams and overseeing contractors. Main Duties: IT Logistics Development Duties: 1. Analyse, document, and optimize business processes and ensure fit with the existing and/or proposed solutions 2. Identify solutions that meet the requirements from the business 3. Collaborate with our client's functional leads in understanding available solutions already deployed that can be leveraged to meet a business need 4. Lead creation of business case for governance review 5. Develop appropriate project plans including timeline, resource plan, riskplan, stakeholder plan, communications plan, financial plans and business case 6. Ensure stakeholder alignment for these plans 7. Define and create project teams, including vendors and contingent workers as needed 8. Manage plan, holding appropriate stakeholders accountable for the irrespective deliverables 9. Sign off on functional solution by validating use cases, conceptual data design, screen design, supplementary requirements etc. 10. Partner with Compliance and Validation resources as needed to drive change control and system validation activities 11. Ensure delivery of projects acting as single point of contact 12. Manage the plan to deliver on-time, on-scope, and on-budget 13. Maintain stakeholder alignment throughout the project 14. Facilitate appropriate forums to manage project dependencies and integrations 15. Rapidly address issues and facilitates to successful resolution 16. Effectively communicate project status via defined process and tools 17. Effectively transition project into steady state working with the IS Operations Lead 18. Build and maintain good working relationships with the business leads and the user base Engineering Logistics Setup 1. Oversee schedules, supplies, materials, equipment and manpower requirements in the pilot plant, and recommend programs to maximize project success, improve productivity, quality and efficiency of the R&D plant operations. 2. Provide technical leadership in the areas of process development, process validation and equipment validation with a focus on solid oral dosage forms 3. Provide functional leadership for all technology transfer related projects to assure timely scale-up and launch of new products. 4. Set up and maintain tracking system for each product defining critical process parameters 5. Responsible for writing technical summaries and process development/validation reports, author/review/approve compliant documentations (SOPs, manufacturing batch records and validation protocols) 6. Prepares, reviews and approve sections of Technical submissions when required 7. Develops and implements equipment installation/operation/performance qualifications activities in the pilot plant 8. Ensures budgets and schedules meet corporate requirements 9. Assesses utilization resources and identifies when, and where additional resources may be needed 10. Ensure staff members are appropriately trained and training records are maintained at current required levels
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*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.
12/06/2024
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
New York, New York
*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.
12/06/2024
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.
Senior CyberArk Consultant Candidates need SC Clearance and will need to be a UK resident. £550 (Inside IR35) 3 month contract Corsham, primarily remote Essential Responsibilities and Requirements: * Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR). * Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. * Good knowledge and expertise in PAM processes, procedures, and onboarding of accounts into a PAM (ideally CyberArk) solution. Required Experience & Qualifications: * Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux, and applications/Middleware technologies/platforms. * Familiarity with Active Directory structures and Identity Management policies and processes * Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. * Experience facilitating business process design as it relates to managing identities and access privileges. * Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution. Key skills, behaviours: * Flexible approach and ability to work co-operatively within a newly created team environment. * Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. * Experience in operationally supporting large, complex technical environment. * Methodical and structured in their approach to tasks. * Capability to organise and prioritise tasks. * Strong interpersonal skills to establish/maintain relationships and interact with team members. *Strong organisation and time management skills. * Strong analytical and problem solving skills. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
12/06/2024
Project-based
Senior CyberArk Consultant Candidates need SC Clearance and will need to be a UK resident. £550 (Inside IR35) 3 month contract Corsham, primarily remote Essential Responsibilities and Requirements: * Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR). * Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. * Good knowledge and expertise in PAM processes, procedures, and onboarding of accounts into a PAM (ideally CyberArk) solution. Required Experience & Qualifications: * Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux, and applications/Middleware technologies/platforms. * Familiarity with Active Directory structures and Identity Management policies and processes * Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. * Experience facilitating business process design as it relates to managing identities and access privileges. * Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution. Key skills, behaviours: * Flexible approach and ability to work co-operatively within a newly created team environment. * Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. * Experience in operationally supporting large, complex technical environment. * Methodical and structured in their approach to tasks. * Capability to organise and prioritise tasks. * Strong interpersonal skills to establish/maintain relationships and interact with team members. *Strong organisation and time management skills. * Strong analytical and problem solving skills. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an IT Operational Risk and Controls Analyst. Candidate will provide critical support to the Director of Operational Risk to evaluate IT and Security risks by assisting with risk assessments and applying aspects of the risk management framework across the process, risk, and control universe. Additionally, this role will help with the risk assessment program activities, coordinate with other functions (eg IT, Security, TPRM, Legal, Compliance, and Internal Audit) and facilitate appropriate Corporate Risk governance to ensure alignment to strategy and short-term objectives. Responsibilities: Collaborate with IT, Security, TPRM, Legal, Compliance, and Internal Audit to ensure that Corporate Risk contributes to strengthening the overall effective management of IT and Security risk across the organization. Lead risk identification and assessment process for IT/Security risks and verify the consistency and reliability of the associated frameworks and systems. Drive adherence to methodologies, guidance, and standards applicable to risk identification and assessment frameworks. Maintain risk inventories, taxonomies, and other elements supporting IT/Security risk management and compliance activities. Lead and execute the IT and Security risk assessment process, while aligning to the risk and control universe, and regulatory requirements and expectations. Generate reports of Archer data for various stakeholders, including regulators. Help automate IT & Security risk oversight. Communicate results of risk assessments to governance committees, business owners, and various levels of leadership. Collaborate on the enhancement and maintenance of Corporate Risk program methodologies, policies, procedures, and job aides, including the development of new program activities. Track and update ORMC team internal findings, external exam issues, and business area self-identified issues resulting from Enterprise Risk Assessment. Qualifications: [Required] Advanced understanding of IT risk, Security risk, and intermediate understanding of Operational risk. [Required] Ability to act as a trusted advisor and provide effective challenge. [Required] Creative, independent thinker, with a willingness to develop and drive new ideas. [Required] Excellent written, verbal and presentation skills. [Required] Must be team-oriented and be able to collaborate effectively in department and cross-departmental efforts. [Required] Ability to work under pressure and with tight deadlines. [Preferred] Familiarity with Financial Market Utilities; securities and derivatives markets. [Preferred] Ability to work in a highly regulated environment, including with the SEC, CFTC, and Federal Reserve; Familiarity with the Covered Clearing Agency regulations. [Preferred] Understanding of cloud technologies, including experience supporting migration to a cloud platform. Technical Skills: [Required] Proficient in Microsoft Word, Excel, Access, and PowerPoint. [Required] Experience with eGRC systems (eg, Archer). Education and/or Experience: [Required] Bachelor's Degree in Information Systems, Computer Science (or equivalent) preferred. [Required] 5+ years of experience in enterprise risk, technology risk, security risk, or risk consultancy, specifically with focus on assessing IT and Security risk. [Preferred] Certification such as: CISSP, Security+, CSX-P, CET, CISA or CISM.
05/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an IT Operational Risk and Controls Analyst. Candidate will provide critical support to the Director of Operational Risk to evaluate IT and Security risks by assisting with risk assessments and applying aspects of the risk management framework across the process, risk, and control universe. Additionally, this role will help with the risk assessment program activities, coordinate with other functions (eg IT, Security, TPRM, Legal, Compliance, and Internal Audit) and facilitate appropriate Corporate Risk governance to ensure alignment to strategy and short-term objectives. Responsibilities: Collaborate with IT, Security, TPRM, Legal, Compliance, and Internal Audit to ensure that Corporate Risk contributes to strengthening the overall effective management of IT and Security risk across the organization. Lead risk identification and assessment process for IT/Security risks and verify the consistency and reliability of the associated frameworks and systems. Drive adherence to methodologies, guidance, and standards applicable to risk identification and assessment frameworks. Maintain risk inventories, taxonomies, and other elements supporting IT/Security risk management and compliance activities. Lead and execute the IT and Security risk assessment process, while aligning to the risk and control universe, and regulatory requirements and expectations. Generate reports of Archer data for various stakeholders, including regulators. Help automate IT & Security risk oversight. Communicate results of risk assessments to governance committees, business owners, and various levels of leadership. Collaborate on the enhancement and maintenance of Corporate Risk program methodologies, policies, procedures, and job aides, including the development of new program activities. Track and update ORMC team internal findings, external exam issues, and business area self-identified issues resulting from Enterprise Risk Assessment. Qualifications: [Required] Advanced understanding of IT risk, Security risk, and intermediate understanding of Operational risk. [Required] Ability to act as a trusted advisor and provide effective challenge. [Required] Creative, independent thinker, with a willingness to develop and drive new ideas. [Required] Excellent written, verbal and presentation skills. [Required] Must be team-oriented and be able to collaborate effectively in department and cross-departmental efforts. [Required] Ability to work under pressure and with tight deadlines. [Preferred] Familiarity with Financial Market Utilities; securities and derivatives markets. [Preferred] Ability to work in a highly regulated environment, including with the SEC, CFTC, and Federal Reserve; Familiarity with the Covered Clearing Agency regulations. [Preferred] Understanding of cloud technologies, including experience supporting migration to a cloud platform. Technical Skills: [Required] Proficient in Microsoft Word, Excel, Access, and PowerPoint. [Required] Experience with eGRC systems (eg, Archer). Education and/or Experience: [Required] Bachelor's Degree in Information Systems, Computer Science (or equivalent) preferred. [Required] 5+ years of experience in enterprise risk, technology risk, security risk, or risk consultancy, specifically with focus on assessing IT and Security risk. [Preferred] Certification such as: CISSP, Security+, CSX-P, CET, CISA or CISM.