Technical Data Ecosystem Product Manager

The Technical Data Ecosystem Product Manager position centres on is also responsible for identifying where changes in the underlying technology may drive a need to change engineering standards. It would suit someone who can bring careful technical judgement and practical problem-solving to the role.

Known job details

• Work model: Hybrid
• Design, development, testing, and deployment of data products, ensuring timely delivery and quality standards.
• Lead cross-functional teams through ideation.
• 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.

Likely focus of the role

• Is also responsible for identifying where changes in the underlying technology may drive a need to change engineering standards.
• Communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunities.
• Product Strategy & Vision: Define.

Requirements mentioned

• Deep hands‑on expertise with GCP data and analytics services (Big.
• Query, 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.