Senior Technical Product Manager – Data Ingestion Services

Role overview Manage the intake and delivery coordination of external data-ingestion requests for a research data service, handling approximately 400 requests each year. The role connects scientific requesters with data engineering, platform and stewardship teams: it clarifies needs, shapes a prioritized backlog and keeps work moving from initial request through delivery. It also contributes to making the service more consistent and scalable.

Responsibilities - Guide requesters through intake and follow up on missing details about data sources, destinations, processing needs, workspaces and access. - Turn clarified requirements into actionable Jira tickets, user stories and acceptance criteria. - Prioritize ingestion work against requester needs, dependencies and team capacity, maintaining a current backlog. - Track progress and coordinate investigation of technical issues with engineers and platform colleagues. - Communicate status, risks, dependencies and changes in delivery expectations to stakeholders. - Maintain process guidance and documentation, track service metrics, gather feedback and support training and improvement efforts.

Requirements - Five or more years of product management experience, preferably with technical, data or platform products. - Strong experience with data services or data-ingestion management. - Ability to clarify requirements, prioritize backlogs and coordinate delivery across scientific and technical teams. - Strong stakeholder communication skills, including explaining priorities, dependencies and delivery expectations. - Proficiency with Jira and Confluence, and familiarity with Agile delivery. - Understanding of ingestion workflows, including sources, destinations, processing steps and dependencies; able to interpret technical documentation and data flows. - Comfortable coordinating technical investigations without personally building data pipelines.

Nice to have - Familiarity with cloud data platforms, especially Google Cloud. - Experience with genetics, omics or pharmaceutical data and scientific research workflows. - Understanding of large scientific datasets, data provenance, reproducibility, security or compliance in research settings. - Experience working with external data providers or integration partners.