Provide strategic and operational leadership for the development, stewardship, and delivery of scalable, analytics-ready data products supporting commercial analytics and decision-making.
Translate business needs into functional data requirements, partnering closely with IT and analytics teams.
Prioritize and drive delivery of high-quality, governed data products through DevOps and vendor teams.
Own and Manage Requirements for Data Products.
Collaborate with Intelligence Product Owners and Analytics teams to document business rules and ensure alignment with analytical needs.
Provide ongoing direction and clarification to DevOps and vendor teams to ensure requirements are implemented as intended.
Provide direction and guidance on the design and evolution of scalable data architecture supporting commercial analytics use cases.
Ensure data models are analytics-ready, scalable, and aligned to defined success metrics.
Oversee and guide DevOps teams to ensure timely and high-quality delivery of data solutions.
Ensure operational excellence in data ingestion, transformation, and delivery processes.
Ensure compliance with internal policies and external regulations (e.g., GDPR, CCPA).

Requirements

PhD in Data Management, Computer Science, Information Systems, or a related field and 5+ years of related experience OR Masters degree in Data Management, Computer Science, Information Systems, or a related field and 8+ years of related experience OR Bachelor’s degree in Data Management, Computer Science, Information Systems, or a related field and 10+ years of related experience
8–10+ years of experience in commercial data management, data modeling, and data operations, preferably in life sciences or pharmaceutical organizations
6+ years working with pharmaceutical commercial data, including HCP, account, and engagement data
Deep experience in data governance, including MDM, data stewardship, and data quality management, with accountability for operational outcomes
Experience building, operating, and evolving cloud-based data warehouses and/or data lakes supporting analytics-ready data products
Strong hands-on experience with modern data platforms and analytics platforms with the ability to guide architectural and delivery decisions, AWS, Databricks, Tableau experience preferred
AI enthusiast with hands-on experience developing AI driven solutions for data management, analytics, and/or reporting
Proven experience leading complex cross-functional data initiatives and directing delivery through DevOps teams and vendor partners.
Strong communication and stakeholder management skills, with demonstrated ability to influence priorities and translate technical concepts into business and analytics outcomes.
Demonstrated ability to build durable partnerships across business, IT, analytics, and external partners.
Ability to present data products, delivery status, risks, and roadmap tradeoffs to senior and diverse stakeholder audiences.

Benefits

company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives
paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata modelingdata operationsdata governancedata stewardshipdata quality managementcloud-based data warehousesdata lakesanalytics-ready data productsAI driven solutions

Soft Skills

strategic leadershipoperational leadershipcommunication skillsstakeholder managementinfluence prioritiespartnership buildingcross-functional leadershipclarification and directiondocumentationpresentation skills