Senior Product Manager at QS shaping student and partner journeys. Focusing on engagement, conversion, and retention for higher education products.
About the role
- Senior Technical Data Product Owner leading clinical data management workflows at McKesson. Managing product owners and ensuring high-quality data for oncology research.
Responsibilities
- Lead and mentor product owners across four pods
- 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
- 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.
Benefits
- Competitive compensation package
- Annual bonus or long-term incentive opportunities
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