Lead: Analytics & AI Products

Job Advert Summary

To provide strategic leadership in shaping and embedding high-impact data, analytics and AI solutions across the PPS Group, translating business strategy into actionable insights and decision-support tools. To partner closely with business leaders as a trusted advisor, driving improved commercial outcomes, operational efficiency, customer experience and risk management. To advance PPS’s long-term analytics maturity by balancing short-term delivery with scalable, sustainable data and AI capabilities.

Minimum Requirements

Education:

• Bachelor’s degree in a quantitative or analytical discipline (e.g. Statistics, Mathematics, Computer Science, Engineering, Information Systems, Economics, Actuarial Science).

• Postgraduate qualification (Honours / Master’s) in Analytics, Data Science, Business, Engineering or related field.

• Professional certifications in analytics, data science, cloud platforms, BI or AI are beneficial.

Experience:

• Minimum 10 years’ experience in analytics, business intelligence, data science or related fields.

• Proven experience delivering analytics solutions in complex, data-rich environments (financial services preferred).

• Demonstrated experience engaging senior stakeholders and influencing business decisions using data-driven insights.

• Experience leading analytics initiatives, projects or workstreams, with exposure to advanced analytics and data products.

Knowledge and Skills:

• Advanced analytics, statistical modelling and machine learning concepts

• Business intelligence platforms (e.g. Power BI) and data visualisation best practices

• Strong understanding of data ecosystems, analytics platforms and data governance

• Data storytelling and executive-level communication

• Commercial and financial acumen

• Delivery of analytics in regulated environments

• Agile / iterative delivery approaches

• Coaching, mentoring and stakeholder influence

Competencies:

• Strategic Orientation

• Decision Making

• Communication

• Problem solving

• Commercial Acumen

• Leadership

• Relationship Management

Duties and Responsibilities

• Partner with senior stakeholders to understand strategic priorities and business challenges.

• Shape analytics-led strategies, define value-driven use cases and influence decision-making at management and executive level.

• Act as a trusted analytics advisor across multiple PPS business units.

• Lead the design and delivery of end-to-end analytics and AI consumption solutions, advanced analytics and AI-enabled insights and AI Agents, thereby transforming data into decision-ready analytics and AI products

• Translate business problems into clear analytical & semantic requirements, ensuring solutions are scalable, reusable and embedded in decision processes.

• Collaborate closely with the data engineering team to ensure alignment between data engineering outputs & Analytics & AI consumption needs.

• Design Data Products and Analytics assets that enable faster, better-quality decisions. Agree and contract delivery with the Group Data Engineering Team.

• Ensure analytics outputs are actionable, trusted, well-governed and aligned to business value metrics.

• Support the evolution from project-based analytics to reusable analytics and data products.

• Lead the application of advanced analytics models and techniques to understand member, broker and commercial behaviours.

• Interpret complex analytical outputs and convert them into commercially meaningful insights and recommendations.

• Define and govern business metrics, analytical logic & semantic models used across reporting, analytics & AI consumption to ensure consistent interpretation of data & decision outcomes

• Define and support the AI agent strategy in collaboration with business, data, technology and risk stakeholders, ensuring alignment with organisational objectives and analytics priorities.

• Oversee the end-to-end lifecycle of AI agents, including use-case definition, design, development, testing, deployment to production, and ongoing monitoring and management.

• Ensure all AI agent development follows the approved analytics and technology development lifecycle, including appropriate controls for model validation, testing, monitoring and change management.

• Lead and coordinate the preparation, submission and presentation of AI initiatives through formal governance forums and approval gates, including (but not limited to) the IT Architectural Review Board (ARB) and the Artificial Intelligence Governance Council.

• Ensure continued compliance with responsible and ethical AI principles, data privacy requirements, security standards and all relevant PPS policies governing data, analytics and artificial intelligence.

• Establish mechanisms for ongoing auditability, transparency, performance monitoring and risk management of AI agents once deployed, including addressing model drift, bias, unintended impacts and control weaknesses.

• Act as a senior advocate for responsible AI adoption, embedding ethical, transparent and human-centred decision-making into analytics and AI solutions across the PPS Group.

• Promote strong data quality, analytics governance and ethical AI principles by embedding governance requirements into analytics & solution design.

• Contribute to analytics standards, methodologies, reusable assets and continuous improvement of the analytics operating model.

• Mentor and coach analysts and related professionals across the Group, building capability in analytics product thinking, semantic modelling, decision-focused insights & responsible AI adoption.

• Influence cross-functional teams and contribute to a high-performance, collaborative analytics culture.