Technical Data Ecosystem Product Manager

Hiscox London, England Posted Feb 12, 2026

Permanent
Hybrid

Job description

This Product Manager opportunity is built around product Strategy & Vision: Define and communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunitie. It would suit someone who can bring handling cycle-by-cycle responsibilities with consistency and care to the role.

How the role is set up

The Ecosystem is being established in 2026 and this role will be a key part of its establishment as well as ongoing maintenance. The Ecosystem Product Manager (Band 3b) is a key leadership role within the Global Data Function.

Where someone would start

Stakeholder Engagement: Collaborate with stakeholders (e.g. business, software engineering, architecture, data) to understand requirements, prioritise initiatives, and manage expec. Product Strategy & Vision: Define and communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunitie.

What helps someone build confidence

Handling cycle-by-cycle responsibilities with consistency and care. Strong professional approach.

What is expected

  • Experience leveraging Jira, Confluence or similar collaboration tools to support multi-disciplinary geographically spread teams.
  • Knowledge or experience of Insurance industry.
  • Experience delivering regulated, cloud‑based data platforms.

Job details

  • Cost Optimisation: Establish a value driven FinOps framework in collaboration with engineering (who build), finance (who budget) and business (who own the products).
  • Working life doesn’t always have to be in the office, so we have introduced hybrid working to encourage a healthy work life balance.
  • This hybrid working model is set by the team rather than the business to enable you to manage your own personal work-life balance.
  • Lead cross-functional teams through ideation, design, development, testing, and deployment of data products, ensuring timely delivery and quality standards.
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