We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Lead Data Product Manager
Location
United States
Posted
11 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role is responsible for the end-to-end management of pharmacy data products, transforming both new and legacy datasets into trusted, governed, and highly usable assets. The Lead Data Product Manager ensures that data products are discoverable, reliable, and optimized for analytics, operational workflows, digital experiences, and AI-enabled self-service. The position combines strategic thinking with hands-on execution, including backlog management, user story creation, and cross-functional alignment. Success in this role requires deep knowledge of data governance, modernization platforms, and healthcare/pharmacy data, along with the ability to collaborate effectively across engineering, analytics, compliance, and business teams. The role is critical in supporting downstream product experiences while maintaining high standards for data quality, documentation, and usability.
- Own the pharmacy data product portfolio, defining, prioritizing, and managing both new and legacy data products to ensure reliable and reusable datasets.
- Lead the modernization and migration of data to platforms such as Databricks, including clear definitions, lineage documentation, versioning, validation, and reconciliation.
- Establish and operationalize practical data governance foundations, including stewardship, metadata standards, critical data element definitions, quality monitoring, and lifecycle management.
- Enhance self-service analytics and AI readiness by standardizing definitions, access patterns, documentation, and usability guidance.
- Partner with downstream product teams to expose data appropriately for digital and operational applications, maintaining data contracts and consumer expectations.
- Drive delivery through SAFe Agile methodology, including backlog management, PI planning, feature and story creation, and tracking key product KPIs.
Qualifications
- Bachelor’s degree in a relevant field.
- 6–10+ years of experience in product management, data product management, or analytics product ownership at scale.
- Strong SQL skills to perform basic data exploration and validation.
- Proven stakeholder management experience, aligning cross-functional teams around definitions, priorities, and outcomes.
- Preferred experience with Databricks or similar lakehouse modernization projects.
- Familiarity with DAMA-DMBOK2 principles applied practically (governance, metadata, quality, stewardship).
- Experience in healthcare, pharmacy, claims, fulfillment, or regulated data environments.
- Demonstrated ability to productize data assets, improving governance, usability, quality, and adoption.
- Strong familiarity with SAFe Agile environments, including writing features and user stories and participating in PI planning.
- Competency in data modeling, metadata management, lineage, quality, stewardship, and lifecycle practices.
Benefits
- Competitive salary range of $126,300–$173,700 per year, with eligibility for a bonus incentive plan.
- Comprehensive health benefits including medical, dental, and vision coverage.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, volunteer time off, and parental/caregiver leave.
- Short-term and long-term disability, life insurance, and other coverage options.
- Flexible scheduling and remote work opportunities with occasional travel as needed.
Job Requirements
- Bachelor’s degree in a relevant field.
- 6–10+ years of experience in product management, data product management, or analytics product ownership at scale.
- Strong SQL skills to perform basic data exploration and validation.
- Proven stakeholder management experience, aligning cross-functional teams around definitions, priorities, and outcomes.
- Preferred experience with Databricks or similar lakehouse modernization projects.
- Familiarity with DAMA-DMBOK2 principles applied practically (governance, metadata, quality, stewardship).
- Experience in healthcare, pharmacy, claims, fulfillment, or regulated data environments.
- Demonstrated ability to productize data assets, improving governance, usability, quality, and adoption.
- Strong familiarity with SAFe Agile environments, including writing features and user stories and participating in PI planning.
- Competency in data modeling, metadata management, lineage, quality, stewardship, and lifecycle practices.
Benefits
- Competitive salary range of $126,300–$173,700 per year, with eligibility for a bonus incentive plan.
- Comprehensive health benefits including medical, dental, and vision coverage.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, volunteer time off, and parental/caregiver leave.
- Short-term and long-term disability, life insurance, and other coverage options.
- Flexible scheduling and remote work opportunities with occasional travel as needed.
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