Director

Head of AI & Data Analytics

About the Role

As the Head of AI & Analytics Product & Engineering, you will lead the AI & Analytics organization, bringing together AI Engineering, Data Engineering, Analytics Engineering, and Product Delivery capabilities to build and scale AI-powered and data-driven products across the business.

Working in close partnership with business, product, architecture, and technology leaders, you will translate strategic priorities into scalable solutions, trusted data foundations, and modern AI and analytics capabilities. You will be responsible for building a high-performing organization and ensuring the successful delivery of AI and analytics products that create measurable business value. This role requires a unique blend of technical depth, product thinking, delivery leadership, talent development, and cross-functional collaboration. Success will depend on your ability to bring together diverse capabilities into a cohesive organization that delivers trusted, scalable, and impactful solutions.

Strategic Leadership & Transformation

• Partner with business, product, architecture, and technology leaders to shape and execute the AI & Analytics strategy.
• Lead the AI & Analytics organization, ensuring its capabilities operate as a cohesive operating model focused on delivering business outcomes.
• Translate business priorities into technology roadmaps, scalable platforms, and AI-enabled products that deliver measurable outcomes.
• Establish reusable AI, analytics, and data capabilities that accelerate value delivery across the platform value chain.
• Drive the adoption of AI and emerging technologies in a responsible, scalable, and business-focused manner, ensuring solutions deliver measurable value and align with governance requirements.
• Foster innovation, continuous improvement, and technical excellence while maintaining strong governance and operational discipline.

Key Responsibilities

AI & Analytics Product Strategy & Delivery

• Own the AI and analytics product portfolio from a technology and delivery perspective.
• Lead the planning, prioritization, engineering, and delivery of AI-powered and data-driven products across the end-to-end platform value chain.
• Translate business priorities into actionable product, engineering, and delivery plans.
• Ensure products are scalable, maintainable, secure, and aligned with enterprise standards and business objectives.
• Partner with business and product leaders to ensure solutions deliver measurable value and adoption.

Data Foundations & Enterprise Integration

• Own the foundational data capabilities that underpin AI and analytics products.
• Drive integration across the platform ecosystem, ensuring trusted, accessible, and scalable data for AI, analytics, and business decision-making.
• Build reusable, domain-aligned data products with clear ownership, governance, and data contracts between producers and consumers.

Engineering & Technical Leadership

• Lead multidisciplinary teams across the AI & Analytics organization.
• Establish strong engineering practices, delivery discipline, and quality standards.
• Drive modern engineering practices including cloud-native development, DevOps/MLOps, CI/CD, data governance, and quality management.
• Partner closely with Architecture leadership to ensure AI and analytics capabilities align with enterprise architecture principles, platform strategies, and technology standards.
• Ensure alignment with enterprise architecture standards, platform strategies, security requirements, and engineering best practices.
• Promote technical excellence, innovation, and continuous improvement across all teams.

Business Capability Transformation

• Partner with business leaders to modernize and transform core platform capabilities through AI, analytics, and data products.
• Drive innovation, operational efficiency, and better decision-making across the end-to-end platform value chain.
• Champion the adoption of AI and data-driven decision-making across business functions.

Cross-Functional Leadership

• Partner closely with Product Management, Architecture, Operations, and business stakeholders to align priorities, architecture, delivery, and business outcomes.

Team Leadership & Talent Development

• Build, lead, and develop a high-performing AI & Analytics organization comprising AI Engineering, Data Engineering, Analytics Engineering, and Product Delivery teams.
• Create a collaborative operating model that enables multidisciplinary teams to deliver business outcomes at scale.
• Develop leadership and technical capability across AI, data, analytics, and product delivery disciplines.
• Lead talent acquisition, succession planning, performance management, and career development activities.

Operational Excellence

• Ensure predictable, high-quality execution across a portfolio of AI and analytics initiatives.
• Improve delivery efficiency, engineering consistency, platform reliability, and operational performance.
• Drive governance around data quality, platform stability, risk management, and production support.
• Establish measurable KPIs for delivery performance, engineering quality, operational excellence, adoption, and business value realization.

About You

You are a collaborative and strategic technology leader with deep expertise in AI, analytics, engineering, and data. You have a proven track record of building high-performing teams, delivering business value through technology, and leading multidisciplinary organizations in complex environments. You thrive at the intersection of technology, data, and business value creation and are passionate about developing people and delivering meaningful outcomes.

Your Experience

Leadership Experience

• 15+ years of experience in technology, engineering, data, analytics, or AI leadership roles.
• Proven experience leading large-scale engineering, analytics, or data organizations.
• Experience managing global, cross-functional teams across engineering, analytics, and delivery disciplines.
• Experience within insurance, reinsurance, financial services, or another highly regulated industry is preferred.

Technical Expertise

• Strong expertise in Data Engineering, Analytics Engineering, AI & Machine Learning technologies, and Data Architecture & Data Modelling.
• Experience integrating large-scale, heterogeneous, and legacy data environments, including building modern data products with clear ownership, governance, and operating models.
• Experience with master data management (MDM), reference data management, and enterprise data platforms such as Palantir Foundry or similar ecosystems.
• Strong understanding of cloud platforms, distributed systems, data governance, and data quality frameworks.

Business & Delivery Expertise

• Strong delivery and execution mindset with the ability to translate strategy into outcomes.
• Proven ability to prioritize and deliver in complex, fast-moving environments.
• Excellent stakeholder management, communication, and influencing skills, with a track record of building trust and alignment across business and technology stakeholders.
• Experience balancing strategic direction with operational execution.

Behavioural Competencies

Strategic Leadership

• Creates a compelling vision and aligns teams around shared objectives.
• Balances long-term thinking with pragmatic execution.

Collaboration & Influence

• Builds trusted partnerships across business and technology functions.
• Influences outcomes through credibility, expertise, and effective communication.

Innovation & Continuous Improvement

• Encourages experimentation, learning, and adoption of emerging technologies.
• Continuously seeks opportunities to improve products, processes, and ways of working.

Talent & Results

• Builds high-performing teams, develops future leaders, and delivers measurable outcomes with accountability.