Technical Data Ecosystems Product Manager in London

Technical Data Ecosystems Product Manager in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of a cutting-edge data ecosystem for analytics and integrations.
  • Company: Join Hiscox, a leading international insurance group with a strong brand and growth potential.
  • Benefits: Enjoy hybrid working, competitive salary, bonus, and generous leave including a sabbatical.
  • Other info: Be part of a diverse team committed to inclusivity and professional growth.
  • Why this job: Shape the future of data management in a dynamic and innovative environment.
  • Qualifications: Experience with GCP, Databricks, or Snowflake; strong communication and problem-solving skills.

The predicted salary is between 63000 - 77000 £ per year.

Company description: Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet and plenty of room to grow. Listed on the London Stock Exchange and headquartered in Bermuda, Hiscox has over 3,000 staff across 14 countries and 34 offices. Structured by geography and product, Hiscox’s long‑held business strategy has helped them grow from a niche Lloyd’s underwriter to an international insurance group with a powerful consumer brand.

The Role: Hiscox intends to operate a Data Mesh architecture for supporting Analytics and Integrations across the group. This will be known as “the data ecosystem”. 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 is a key leadership role within the Global Data Function. Responsible for setting the product strategy and detailed roadmap for the Data Ecosystem, ensuring the Ecosystem is capable of meeting both present and future Analytics, AI and Integration needs.

Key Responsibilities:

  • Product Strategy & Vision: Define and communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunities.
  • Stakeholder Engagement: Collaborate with stakeholders (e.g. business, software engineering, architecture, data) to understand requirements, prioritise initiatives, and manage expectations.
  • Strategic partnerships: Work with 3rd parties to generate fresh perspectives and also ensure successful delivery partnerships.
  • Product Development Lifecycle Management: Lead cross‑functional teams through ideation, design, development, testing, and deployment of data products, ensuring timely delivery and quality standards.
  • Data Culture: Support the Data Engineering Chapter, ensuring technical blockers to good data culture are resolved within the roadmap.
  • Data Governance & Compliance: Ensure compliance with data privacy regulations (such as GDPR), data quality management practice are embedded in ecosystem design.
  • Performance Monitoring & Optimisation: Track product performance using key metrics, conduct regular reviews, and implement enhancements based on data‑driven insights.
  • Communication & Documentation: Produce clear documentation, reports, and presentations for stakeholders, ensuring transparency and alignment throughout the product lifecycle.
  • Backlog Management: Own, refine, and prioritise the data ecosystem product backlog (features, tasks, improvements) based on business value, technical needs, and stakeholder input as well as encouraging user adoption for new features.
  • Cost Optimisation: Establish a value‑driven FinOps framework in collaboration with engineering, finance, and business.

Key Requirements / Person Specification:

  • Technical Proficiency: Deep hands‑on expertise with GCP data and analytics services, plus working knowledge of Databricks and/or Snowflake in federated enterprise environments.
  • Business Acumen: Strong understanding of commercial strategies, market trends, governance frameworks and competitive landscapes.
  • Analytical Thinking: Ability to interpret and analyse complex operational and financial datasets to inform product decisions.
  • Product and Project Management: Experience delivering regulated, cloud‑based data platforms.
  • Communication Skills: Exceptional communication skills, able to translate technical concepts for non‑technical stakeholders.
  • Problem‑Solving Mindset: Proactive problem‑solver, able to identify and address platform risks and blockers.

Nice to Have: Knowledge or experience of Insurance industry. Experience leveraging Jira, Confluence or similar collaboration tools.

Diversity & Benefits: At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture. Working life doesn’t always have to be in the office, so we have introduced hybrid working to encourage a healthy work life balance. Our benefits package includes a bonus, contributory pension, 25 days annual leave plus 2 Hiscox days and a 4 week paid sabbatical with every 5 years’ worth of service, private medical for all the family and much more.

Technical Data Ecosystems Product Manager in London employer: Candour Solutions LTD

As an MLOPS Lead at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. With a strong focus on mentoring and coaching, we foster a culture of continuous learning while offering competitive benefits and the opportunity to work in vibrant locations like York or Lisbon. Join us to be part of a forward-thinking team that values your contributions and supports your professional development in the exciting field of machine learning.

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Contact Details:

Candour Solutions LTD Recruitment Team

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We think you need these skills to ace Technical Data Ecosystems Product Manager in London

GCP Data and Analytics Services
Databricks
Snowflake
Data Mesh Architecture
API-based Data Products
AI and Machine Learning
Agile Product Delivery

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