Senior Technical Product Manager – Data Ingestion Services

xebialatam; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

xebialatam is seeking a product manager to oversee intake and delivery coordination for external data-ingestion requests across a research data service. You will connect scientific requesters with data engineering, platform and stewardship teams, shaping a prioritized backlog and guiding requests from intake through delivery.

With five+ years in product management and a track record in data services, you will clarify requirements, coordinate cross-functional execution, and maintain strong

Qualifications

• 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.

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.

Skills

Data ingestion management

Backlog prioritization

Stakeholder communication

Agile delivery

Tools

Jira

Confluence

Job description

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.