WTW
We are seeking a highly experienced and strategic senior leader to oversee our Cyber Engineering, Identity & Access Management (IAM), and Data Loss Prevention (DLP) functions. This role will be responsible for driving the design, delivery, and governance of enterprise-wide security engineering solutions, while ensuring secure, scalable, and resilient identity and data protection services. The ideal candidate will combine deep technical expertise with strong leadership skills to shape the future of cybersecurity, identity, and data protection within the organization. This position is designated as a Senior Management Function (SMF) under the Financial Conduct Authority regime, carrying personal accountability for compliance, operational resilience, and security effectiveness. The Role: Strategic Leadership Define and execute the global strategy for Cyber Engineering, IAM, and DLP in alignment with the enterprise security and technology roadmap. Serve as a trusted advisor to the CISO, CIO, and executive leadership on emerging threats, secure architecture, identity, and data protection. Establish metrics and reporting to demonstrate effectiveness, risk reduction, and compliance with regulatory requirements (e.g., National Institute of Standards Cyber Security Framework (NIST CSF), Digital Operations Resilience Act (DORA), New Tork State Department of Financial Services (NYDFS), Sarbanes-Oxyley (SOX), and the Financia Conduct Authority(FCA). Cyber Engineering Oversight Lead engineering teams responsible for core security platforms, including endpoint protection, cloud security, network defense, vulnerability management, and DevSecOps integrations. Build and mature a comprehensive vulnerability management program, including continuous scanning, risk-based prioritization, remediation tracking, and Board-level reporting. Drive innovation by embedding security into cloud, hybrid, and modern application architectures ("Secure by Design" principles). Ensure the adoption of automation, orchestration, and advanced analytics to improve detection, response, and resiliency. Identity & Access Management Own enterprise-wide IAM strategy, including workforce and customer identity, privileged access management (PAM), identity governance and administration (IGA), and multi-factor authentication (MFA). Lead initiatives to modernize and integrate IAM platforms to support cloud adoption, Zero Trust, and frictionless user experiences. Partner with business and technology leaders to enable secure digital transformation through robust identity services. Data Loss Prevention (DLP) Advance a comprehensive Data Loss Prevention program to safeguard sensitive information across endpoints, cloud, email, and collaboration platforms. Establish enterprise-wide policies and controls to prevent unauthorized data exfiltration, insider threats, and regulatory breaches. Implement monitoring, classification, and enforcement mechanisms that balance data protection with business enablement. Partner with business, compliance, and data governance teams to align DLP strategy with General Data Protection Regulation, Financial Conduct Authority, Prudential Regulation Authority, Sarbanes-Oxley, and other global data protection requirements. Provide executive and Board-level reporting on data protection risks, incidents, and mitigation efforts. Governance, Risk & Compliance Ensure IAM, DLP, and security engineering practices meet regulatory, audit, and policy requirements. Define and maintain standards for identity lifecycle, access controls, data handling, and information protection. Oversee risk assessments and remediation programs tied to IAM, DLP, and security engineering platforms. Senior Management Function (FCA Responsibilities) As an FCA-designated Senior Management Function (SMF) role, the position carries individual accountability under the Senior Managers & Certification Regime (SM&CR). Specific responsibilities include: Personal accountability for ensuring cyber, IAM, and DLP controls are effective, proportionate, and aligned with FCA expectations for operational resilience and financial sector stability. Maintaining robust governance, oversight, and risk management frameworks for engineering, identity, and data protection, ensuring risks are identified, escalated, and remediated in line with FCA and PRA requirements. Demonstrating reasonable steps have been taken to oversee outsourced arrangements, third-party providers, and cloud services related to IAM, DLP, and cyber platforms. Ensuring Board and regulators receive timely, accurate, and complete information on cyber, identity, and data protection risks, vulnerabilities, and remediation activities. Acting as the point of accountability for operational resilience in cyber engineering, IAM, and DLP, supporting FCA requirements around impact tolerance, scenario testing, and response planning. Requirements: Progressive experience in cybersecurity, with extensive experience in leadership roles across IAM, cyber engineering, and/or data protection. Proven track record of leading global security programs at scale in complex, regulated environments (financial services strongly preferred). Expertise in IAM technologies (SailPoint, Okta, Azure AD, CyberArk, Ping Identity), DLP platforms (Symantec, Microsoft Purview, Forcepoint, Digital Guardian), and security engineering tools (EDR, CSPM, SIEM, SOAR, vulnerability management). Strong knowledge of Zero Trust, data protection regulations (GDPR, FCA, PRA), cloud-native security, and DevSecOps practices. Exceptional leadership, communication, and stakeholder engagement skills, with the ability to influence at Board and executive levels. Relevant certifications (CISSP, CISM, CCSP, CIPP/E, SABSA, or equivalent) preferred. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email your recruiter.
We are seeking a highly experienced and strategic senior leader to oversee our Cyber Engineering, Identity & Access Management (IAM), and Data Loss Prevention (DLP) functions. This role will be responsible for driving the design, delivery, and governance of enterprise-wide security engineering solutions, while ensuring secure, scalable, and resilient identity and data protection services. The ideal candidate will combine deep technical expertise with strong leadership skills to shape the future of cybersecurity, identity, and data protection within the organization. This position is designated as a Senior Management Function (SMF) under the Financial Conduct Authority regime, carrying personal accountability for compliance, operational resilience, and security effectiveness. The Role: Strategic Leadership Define and execute the global strategy for Cyber Engineering, IAM, and DLP in alignment with the enterprise security and technology roadmap. Serve as a trusted advisor to the CISO, CIO, and executive leadership on emerging threats, secure architecture, identity, and data protection. Establish metrics and reporting to demonstrate effectiveness, risk reduction, and compliance with regulatory requirements (e.g., National Institute of Standards Cyber Security Framework (NIST CSF), Digital Operations Resilience Act (DORA), New Tork State Department of Financial Services (NYDFS), Sarbanes-Oxyley (SOX), and the Financia Conduct Authority(FCA). Cyber Engineering Oversight Lead engineering teams responsible for core security platforms, including endpoint protection, cloud security, network defense, vulnerability management, and DevSecOps integrations. Build and mature a comprehensive vulnerability management program, including continuous scanning, risk-based prioritization, remediation tracking, and Board-level reporting. Drive innovation by embedding security into cloud, hybrid, and modern application architectures ("Secure by Design" principles). Ensure the adoption of automation, orchestration, and advanced analytics to improve detection, response, and resiliency. Identity & Access Management Own enterprise-wide IAM strategy, including workforce and customer identity, privileged access management (PAM), identity governance and administration (IGA), and multi-factor authentication (MFA). Lead initiatives to modernize and integrate IAM platforms to support cloud adoption, Zero Trust, and frictionless user experiences. Partner with business and technology leaders to enable secure digital transformation through robust identity services. Data Loss Prevention (DLP) Advance a comprehensive Data Loss Prevention program to safeguard sensitive information across endpoints, cloud, email, and collaboration platforms. Establish enterprise-wide policies and controls to prevent unauthorized data exfiltration, insider threats, and regulatory breaches. Implement monitoring, classification, and enforcement mechanisms that balance data protection with business enablement. Partner with business, compliance, and data governance teams to align DLP strategy with General Data Protection Regulation, Financial Conduct Authority, Prudential Regulation Authority, Sarbanes-Oxley, and other global data protection requirements. Provide executive and Board-level reporting on data protection risks, incidents, and mitigation efforts. Governance, Risk & Compliance Ensure IAM, DLP, and security engineering practices meet regulatory, audit, and policy requirements. Define and maintain standards for identity lifecycle, access controls, data handling, and information protection. Oversee risk assessments and remediation programs tied to IAM, DLP, and security engineering platforms. Senior Management Function (FCA Responsibilities) As an FCA-designated Senior Management Function (SMF) role, the position carries individual accountability under the Senior Managers & Certification Regime (SM&CR). Specific responsibilities include: Personal accountability for ensuring cyber, IAM, and DLP controls are effective, proportionate, and aligned with FCA expectations for operational resilience and financial sector stability. Maintaining robust governance, oversight, and risk management frameworks for engineering, identity, and data protection, ensuring risks are identified, escalated, and remediated in line with FCA and PRA requirements. Demonstrating reasonable steps have been taken to oversee outsourced arrangements, third-party providers, and cloud services related to IAM, DLP, and cyber platforms. Ensuring Board and regulators receive timely, accurate, and complete information on cyber, identity, and data protection risks, vulnerabilities, and remediation activities. Acting as the point of accountability for operational resilience in cyber engineering, IAM, and DLP, supporting FCA requirements around impact tolerance, scenario testing, and response planning. Requirements: Progressive experience in cybersecurity, with extensive experience in leadership roles across IAM, cyber engineering, and/or data protection. Proven track record of leading global security programs at scale in complex, regulated environments (financial services strongly preferred). Expertise in IAM technologies (SailPoint, Okta, Azure AD, CyberArk, Ping Identity), DLP platforms (Symantec, Microsoft Purview, Forcepoint, Digital Guardian), and security engineering tools (EDR, CSPM, SIEM, SOAR, vulnerability management). Strong knowledge of Zero Trust, data protection regulations (GDPR, FCA, PRA), cloud-native security, and DevSecOps practices. Exceptional leadership, communication, and stakeholder engagement skills, with the ability to influence at Board and executive levels. Relevant certifications (CISSP, CISM, CCSP, CIPP/E, SABSA, or equivalent) preferred. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email your recruiter.
Tenth Revolution Group
City, London
AI Evangelist - Inside IR35 - Hybrid Role Overview The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap between cutting-edge AI technologies and real-world financial business needs, influencing both strategy and execution. The role requires deep technical expertise, exceptional communication skills, and a passion for translating AI innovation into meaningful business impact across investment banking, trading, insurance, and broader financial ecosystems. Key Responsibilities - Evangelism & Strategy Solution Innovation: Build and demonstrate AI-powered solutions tailored to financial applications, including use cases in investment banking, trading, and insurance. AI Storytelling: Translate complex AI concepts into clear, actionable business value for both technical and non-technical stakeholders, including executive leadership. Education & Enablement: Lead workshops, seminars, and training sessions to improve AI literacy and upskill teams across banking, investment, or insurance environments. Executive Advisory: Provide advisory-level guidance to CxOs, Heads of Engineering, and Heads of Architecture on AI strategy, enterprise architecture, and emerging technology trends. Industry Influence: Represent the organization at conferences, webinars, and industry forums to position the firm as a leader in responsible AI adoption in finance. Regulatory Alignment: Collaborate with compliance, risk, and IT teams to ensure AI solutions adhere to stringent financial-sector regulatory, ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems and generative code workflows using LLMs, automation agents, and code generation tools within secure production environments. Technical Leadership: Oversee solution design, implementation, and code reviews-particularly for code created or augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field. Experience with high-level programming languages such as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
AI Evangelist - Inside IR35 - Hybrid Role Overview The Senior AI Evangelist plays a pivotal hands-on role in shaping and driving the responsible adoption of Artificial Intelligence across the organization. This position bridges the gap between cutting-edge AI technologies and real-world financial business needs, influencing both strategy and execution. The role requires deep technical expertise, exceptional communication skills, and a passion for translating AI innovation into meaningful business impact across investment banking, trading, insurance, and broader financial ecosystems. Key Responsibilities - Evangelism & Strategy Solution Innovation: Build and demonstrate AI-powered solutions tailored to financial applications, including use cases in investment banking, trading, and insurance. AI Storytelling: Translate complex AI concepts into clear, actionable business value for both technical and non-technical stakeholders, including executive leadership. Education & Enablement: Lead workshops, seminars, and training sessions to improve AI literacy and upskill teams across banking, investment, or insurance environments. Executive Advisory: Provide advisory-level guidance to CxOs, Heads of Engineering, and Heads of Architecture on AI strategy, enterprise architecture, and emerging technology trends. Industry Influence: Represent the organization at conferences, webinars, and industry forums to position the firm as a leader in responsible AI adoption in finance. Regulatory Alignment: Collaborate with compliance, risk, and IT teams to ensure AI solutions adhere to stringent financial-sector regulatory, ethical, and governance standards. AI Model Deployment: Prototype, test, and deploy AI systems for use cases such as market forecasting, customer insights, automated underwriting, fraud detection, and anti-money laundering (AML). Key Technical & Design Responsibilities Agentic & Generative AI Architectures: Build, deploy, and manage agentic AI systems and generative code workflows using LLMs, automation agents, and code generation tools within secure production environments. Technical Leadership: Oversee solution design, implementation, and code reviews-particularly for code created or augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security, Product, and Business teams to drive rapid, safe integration of agentic and generative AI features into enterprise systems. Essential Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Finance, or a related field. Experience with high-level programming languages such as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
CapGemini
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
