Director, Data Strategy and Operations
New
J
JobgetherLife Sciences
Fully remote, field-based position open to candidates anywhere in the United States.Full-TimeDirector
SalaryBase salary range of $225,000–$250,000 USD annually.
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Job Details
- Experience
- 10+ years
- Required Skills
- SQLBusiness IntelligenceCRM
Requirements
- Bachelor’s degree in a quantitative, business, technology, or life sciences discipline; MBA or master’s preferred.
- 10+ years of experience in pharmaceutical or biotechnology commercial data strategy, operations, or analytics.
- Experience building commercial data capabilities for at least one U.S. specialty pharmaceutical or biotech launch.
- Proven Director-level experience with cross-functional leadership, vendor management, and senior stakeholder engagement.
- Hands-on experience defining requirements for CRM, data warehousing, BI, and MDM platforms.
- Expertise in pharmaceutical commercial data sources such as prescription, claims, specialty pharmacy, and HCP/HCO reference data.
- Knowledge of pharmaceutical data compliance including HIPAA, CCPA/CPRA, and aggregate spend reporting.
- Technical fluency to engage with engineering teams on data models and cloud integration patterns.
- Working SQL proficiency preferred.
- Proven ability to build scalable processes in lean, fast-moving environments.
- Strong executive presence with the ability to communicate strategic trade-offs and business implications.
Responsibilities
- Define and own the commercial data strategy aligned with brand objectives and launch-readiness milestones.
- Develop a phased data capability roadmap covering acquisition, warehouse design, integrations, and advanced analytics.
- Manage day-to-day data operations across external partners, including specialty pharmacies, distributors, and data aggregators.
- Implement commercial master data management, including HCP/HCO alignment, stewardship, and CRM integration.
- Establish data governance, privacy standards, and quality processes for audit-ready, compliant operations.
- Translate complex data into actionable insights and executive-ready narratives for performance management.
- Manage the commercial data budget, vendor relationships, and technology build-versus-buy assessments.
- Scale from an individual contributor role to leading a dedicated data and analytics team as the organization grows.
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