Data Ecosystem Product Manager

SPG Resourcing; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Bonus

Benefits

Job summary

SPG Resourcing is partnering with an insurance client to appoint a Data Ecosystem Product Manager who will define and deliver the enterprise data platform strategy. You will drive the development of a cloud-based data ecosystem, ensuring analytics, AI, and integration requirements are met, while coordinating across engineering, architecture, and business teams.

The role focuses on aligning stakeholders, delivering platform capabilities, enabling data governance and cost optimisation, and

Qualifications

• Proven experience delivering data platforms or data products.
• Strong cloud data ecosystem experience (GCP preferred).
• Hands-on with BigQuery, Dataflow, Pub/Sub.
• Experience with Databricks and/or Snowflake.
• Knowledge of Data Mesh and event-driven architectures.
• Experience in Agile environments with backlog ownership.
• Translate complex concepts into business value.
• Stakeholder management and communication.
• Exposure to AI/ML within data platforms.
• Experience in regulated or data-sensitive environments.
• Knowledge of data governance and risk frameworks.

Responsibilities

• Define vision, strategy, and roadmap for the data ecosystem.
• Own and prioritise the product backlog by value.
• Collaborate with data, engineering, architecture, and business teams.
• Lead cross-functional delivery from ideation to deployment.
• Manage vendor upgrades and technology evolution.
• Promote modern data practices and data engineering culture.
• Embed data governance, security, and compliance.
• Monitor platform performance using data insights.
• Support a value-driven FinOps approach to cloud costs.
• Collaborate with third-party vendors to enable delivery.

Skills

Data product management

Agile delivery

Stakeholder management

Data governance

Data-focused communication

AI/ML exposure

Regulated environments experience

Tools

BigQuery

Dataflow

Pub/Sub

Databricks

Snowflake

Job description

Working set up: Hybrid (2-3 days onsite)

Salary: Competitive + bonus + benefits

SPG are working on behalf of an insurance company who are invested in building a modern, scalable data ecosystem to support with analytics, AI and integration across the business. With a strong market presence and a focus on innovation, the business are looking to establish a Data Mesh-based architecture to enable domain driven data ownership.

This is a key opportunity to play a central role in shaping and delivering this ecosystem as part of a growing global data function.

The Role

Reporting into the Data leadership team, the Data Ecosystem Product Manager will define and deliver the strategy and roadmap for the organisation’s enterprise data platform.

You will lead the development of a cloud-based data ecosystem, ensuring it meets current and future analytics, AI, and integration requirements.

Working across engineering, architecture, and business teams, you will act as the central point of coordination-driving alignment, prioritisation, and successful delivery of platform capabilities.

Key responsibilities

• Define and communicate the vision, strategy, and roadmap for the data ecosystem
• Own and prioritise the product backlog based on business value and technical requirements
• Collaborate with stakeholders across data, engineering, architecture, and business teams
• Lead cross-functional delivery across ideation, design, development, testing, and deployment
• Ensure the platform remains current by managing vendor upgrades and technology evolution
• Promote adoption of modern data practices and support a strong data engineering culture
• Embed data governance, security, and compliance into platform design
• Monitor platform performance and drive continuous optimisation using data insights
• Establish and support a value-driven FinOps approach to manage cloud costs
• Work with third-party vendors and partners to support delivery and innovation

Required skills and experience

• Proven experience as a Product Manager delivering data platforms or data products
• Strong experience with cloud-based data ecosystems (GCP Preferred)
• Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub
• Experience with Databricks and/or Snowflake
• Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs)
• Experience working in Agile delivery environments with backlog ownership
• Ability to translate complex technical concepts into business value
• Strong stakeholder management and communication skills
• Exposure to AI / Machine Learning within data platforms
• Experience in regulated or data-sensitive environments
• Knowledge of data governance and risk frameworks

Location

This role can be York or London based with hybrid working of 2-3 days a week in the office.