Technical Data Ecosystem Product Manager

🕒 February 11

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

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Hiscox

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Hiscox is a leader in specialist insurance. We seek to provide the best protection and peace of mind for our clients through high quality insurance products, backed with excellent service. We are experts in covering a wide range of personal and commercial risks.

📋 Description

• Define and communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunities. • Collaborate with stakeholders (e.g. business, software engineering, architecture, data) to understand requirements, prioritise initiatives, and manage expectations. • Work with 3rd parties to generate fresh perspectives and also ensure successful delivery partnerships. • Lead cross-functional teams through ideation, design, development, testing, and deployment of data products, ensuring timely delivery and quality standards. • Support the Data Engineering Chapter, ensuring technical blockers to good data culture are resolved within the roadmap. • Ensure compliance with data privacy regulations (such as GDPR), data quality management practice are embedded in ecosystem design. • Track product performance using key metrics, conduct regular reviews, and implement enhancements based on data-driven insights. • Produce clear documentation, reports, and presentations for stakeholders, ensuring transparency and alignment throughout the product lifecycle. • Own, refine, and prioritize 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. • Establish a value driven FinOps framework in collaboration with engineering (who build), finance (who budget) and business (who own the products).

🎯 Requirements

• Deep hands‑on expertise with GCP data and analytics services (BigQuery, Dataflow, Pub/Sub, IAM, monitoring), plus working knowledge of Databricks and/or Snowflake in federated enterprise environments. • Strong understanding of modern data architectures including Data Mesh, event-driven patterns, API‑based data products, and cloud‑native engineering standards. • Good working knowledge of emerging technologies e.g. AI and Machine Learning. • Strong understanding of commercial strategies, market trends, governance frameworks and competitive landscapes. • Ability to interpret and analyse complex operational, and financial datasets to inform product decisions, prioritisation and derive actionable insights. • Experience delivering regulated, cloud‑based data platforms. • Proficiency in Agile product delivery, backlog management, roadmap ownership, and leading matrixed teams of engineers, analysts, and architects. • Strong vendor and partner management skills, supporting platform upgrades, licensing, product enhancements, and technical enablement. • Exceptional communication skills, able to translate technical concepts for non‑technical stakeholders and align diverse teams behind a clear product vision. • Proactive problem‑solver, able to identify and address platform risks, tech debt, cost inefficiencies, and blockers to robust engineering and data culture.

🏖️ Benefits

• Bonus • Contributory pension • 25 days annual leave plus 2 Hiscox days • 4 week paid sabbatical with every 5 years’ worth of service • Private medical for all the family • Hybrid working to encourage a healthy work life balance