Director II, Enterprise Data Foundation and Operations

Role Summary: We are seeking an experienced and visionary technical leader to join our organization as the Director II, Enterprise Data Foundation & Operations, reporting directly to the Senior Director, APEX Enterprise. In this pivotal role, you will serve as the strategic business owner of the U.S. Commercial Therapeutics and Patient Services data ecosystem—the core engine powering advanced AI, analytics, and commercial products across the enterprise. Holding ultimate accountability for foundational architecture, data governance, acquisition, and operations, you will shape our organization's data-driven culture by ensuring the ecosystem delivers trusted, scalable assets ready to fuel our ML and AI solutions.
Responsibilities:
Business Data Architecture: Serve as Business Owner of the end-to-end data lifecycle across the Raw, Curated, and Consumption layers. Engineer the definitive, certified enterprise data assets (e.g., 360-degree HCP and Patient views) that serve as the mandatory foundation for all downstream analytics and commercial products.
Data Operations Modernization: Lead the transformation of manual, rules-based data operations (syndicated data, promotional data, patient claims, Commercial/Patient MDM) into an automated, AI-driven operations hub.
Fit-For-Purpose (FFP) Engineering & Architectural Sign-Off: Partner with the Enterprise Product Organization to engineer FFP data layers that meet precise business requirements. Establish data product standards to ensure that all data product requests are scalable, secure, and minimize technical debt introduced into the ecosystem.
Data Governance & Quality Standards: Establish and enforce rigorous enterprise data governance, compliance, and quality frameworks. Partner with business stakeholders and legal/compliance teams to ensure data is clean, secure, and fully compliant with healthcare regulations before it reaches the semantic or application layer.
Enterprise Master Data Management (MDM): Direct the strategy and execution of Commercial and Patient MDM. Ensure rigorous data mastering, identity resolution, and interoperability to deliver pristine, 360-degree customer and patient views that serve as the unified source of truth for all downstream analytics, reporting, and AI solutions.
Ecosystem Consolidation & Acquisition: Oversee the strategy and operations for acquiring new commercial data streams and managing external data vendors. Lead the consolidation of fragmented legacy data ecosystems into a unified, high-performance data fabric.
Cross-Functional Technical Leadership: Serve as the principal data engineering liaison to BTS (IT), co-designing the future-state cloud and AI-ready data infrastructure. Lead, manage, and mentor a large, diverse team of business data architects, data stewards, and data operations experts, fostering a culture of technical excellence and innovation.
Bachelor's degree in a quantitative discipline such as computer science, information technology, engineering, math, or related field (Advanced degree preferred).
15+ years of related professional experience, with 8+ years of deep experience in data engineering, data architecture, or data operations.
5+ years of technical leadership experience, successfully managing large, diverse teams in a fast-paced, matrixed environment.
Experience in the Pharmaceutical or Life Sciences industry is required, with strong knowledge of industry regulations and compliance requirements related to healthcare data.
Proven track record of scaling enterprise data warehouses, MDM solutions, and cloud data ecosystems (e.g., Snowflake, AWS, Databricks).
Experience transforming manual data operations into automated, DataOps-driven environments (utilizing anomaly detection, automated pipelines, etc.).
Exceptional matrix-leadership skills; ability to confidently partner with Business Product Owners while enforcing strict architectural and engineering standards alongside IT (BTS).
Demonstrated ability to develop and present highly technical business cases and architectural roadmaps to senior executive leadership.

Skills
AWS, Snowflake, Databricks

Employment type
Full-time

Work arrangement
Hybrid