Sr. Manager, Clinical Data Product Owner

McKesson is an impact-driven, Fortune 10 company that focuses on delivering insights, products, and services to make quality healthcare more accessible. They are seeking a Senior Technical Data Product Owner to lead a team of product owners in overseeing clinical data management workflows and transforming complex business needs into scalable data solutions.

Responsibilities:

• Lead and mentor product owners across four pods; foster a culture of ownership, operational excellence, and accountability
• Ensure consistent, standardized data management practices and execution approaches across all pod teams
• Drive end‑to‑end clinical data management workflows that power Ontada’s research data products
• Translate business requirements into clear data and technical specifications that align with Ontada’s data strategy
• Align the data management roadmap with organizational priorities; define pod-level plans, milestones, dependencies, and required resources
• Proactively identify risks, blockers, and cross‑team dependencies; develop and execute mitigation strategies
• Own data management prioritization across pods, balancing speed, completeness, accuracy, and data quality
• Partner with PMO and pod product owners to maintain accurate JIRA backlogs, including epics, user stories, and acceptance criteria
• Build and maintain operational dashboards to provide visibility into progress, forecasting, resource allocation, risks, and timelines
• Ensure rigorous QA and validation processes to deliver research‑grade, high‑integrity data
• Continuously refine and improve data processes using quality metrics, operational insights, and customer feedback
• Define and monitor pod-level KPIs that measure throughput, delivery performance, data quality, and operational stability
• Work closely with engineering teams to ensure data workflows and technical processes are scalable, reusable, and efficient
• Apply deep understanding of data models, data processing pipelines, and clinical data workflows to guide decision‑making

Requirements:

• Degree or equivalent experience
• Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience
• 9+ years in data management, data product management, or technical product management—preferably in healthcare, life sciences, or health tech
• Proven experience leading product owners or managing multiple complex workstreams
• Expertise with JIRA, Confluence, and Agile practices; strong capability in writing/refining user stories and acceptance criteria
• Strong experience translating business needs into data management requirements and actionable technical tasks
• Familiarity with data ingestion, ETL, integration, and reconciliation of multi-modal healthcare datasets
• Demonstrated success collaborating across engineering, data science, and business stakeholders in highly matrixed environments
• Strong communication skills, with the ability to influence and partner at all levels
• Strategic thinker with the ability to drive near-term delivery while shaping long-term platform evolution
• Operates with strong ownership, accountability, and a mindset of automation, simplification, and continuous improvement
• Deep understanding of healthcare data standards (ICD-10, SNOMED CT, LOINC, RxNorm) and data models (FHIR, OMOP, mCODE) highly preferred
• Up to 10% travel nationwide