Product Manager focused on AI models platform for healthcare startup Heidi. Collaborating with engineers and product teams to ensure quality and efficiency in model deployment.
About the role
- Ecosystem Product Manager defining the product strategy for Hiscox's data ecosystem. Leading cross-functional teams to manage data analytics and integrations in a hybrid work environment.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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