Data & AI Engineering Lead (P00912)

Role Overview:

We are looking for a Senior Data Engineering Manager to lead and develop our Data Engineering capability. You will ensure Fidelity Life has secured, reliable, scalable, and high-performing data platforms and engineering solutions that enable analytics, AI and enterprise decision-making.

You will set engineering patterns, frameworks, delivery roadmaps, and ways of working, while driving the evolution of cloud data engineering, real-time and event-driven integration, DataOps and AI-enabled engineering practices.

Key Responsibilities:

• Lead, mentor and develop a diverse team of data engineers and data platform specialists.

• Translate the Enterprise Data & AI strategy into an actionable engineering capability and technology roadmap.

• Define data and AI engineering practices and standards in partnership with Technology leadership.

• Make data platform decisions that enable digital, policy and claims administration, finance, actuarial, reporting, pricing, and underwriting domains.

• Lead quarterly change delivery and align stakeholders to deliver efficiently and effectively.

• Design the platform roadmap with a focus on cost optimisation, simplification, and sustainable outcomes.

• Develop and share engineering patterns, recipes and technical designs that are maintainable, scalable, testable, secure, and standard-aligned.

• Ensure alignment with Data & AI governance, security, architecture, engineering, and operational principles.

• Promote an Agile engineering culture and support proofs of concept, research, and AI innovation.

• Identify and manage key technology risks, while ensuring legal, compliance, regulatory and conduct obligations are met.

• Build strong relationships across the business and with external partners to align delivery to strategic goals.