Senior Director Global Data & AI Enablement

PharmaEssentia U.S.A.•Burlington, MA

About The Position

The Senior Director, Global Data & AI Enablement leads a newly created function that builds and governs the master data, infrastructure, measurement, and AI/ML capabilities Commercial depends on. The function is global, with Year 1 execution focused on the U.S. and Japan, and this leader builds the team as well as the capability. Reporting to the Head of Global Operations, this leader partners closely with Commercialization Analytics & Operations, Commercial Strategy & Effectiveness, Sales, Marketing, Market Access, IT, Legal, affiliate commercial teams, and external vendors — to ensure commercial data is accurate and governed, and to establish with evidence what each commercial investment contributes to revenue.

Requirements

Bachelor’s degree required; technical degree (data science, computer science, engineering) preferred
12+ years in data, analytics, or technical leadership in biotechnology, pharmaceuticals, or healthcare
Experience building or leading master data management, governance, and data infrastructure programs
Hands-on proficiency in SQL, able to audit a pipeline or interrogate a vendor’s methodology directly, and experience building or overseeing predictive/ML models
Demonstrated experience designing and running controlled commercial experiments — holdout, matched-control, or randomised account-level tests — and defending the results to commercial leadership
Experience partnering with commercial functions to translate data infrastructure into activation-ready capability, and to influence senior stakeholders across functions
Experience owning a significant external data or analytics vendor relationship, including scope and commercial terms

Nice To Haves

Experience standing up a data and AI function from an early stage
Rare disease, hematology/oncology, or another small-population specialty setting
Experience enabling downstream commercial teams, not campaign execution
Familiarity with agentic AI in data governance and third-party digital data
Experience across the U.S. and at least one Asia-Pacific market, ideally Japan

Responsibilities

Own the measurement architecture linking commercial investment to revenue
Own patient-finding and patient-persistence analytics, and translate results into resource-allocation recommendations with explicit confidence
Establish and maintain master data at the customer level across all sources — profile, engagement, potential, Rx, and beyond — as the single source of truth for commercial data
Establish data governance standards — ownership, stewardship, access, and quality thresholds — and apply them consistently as new data sources and vendors are onboarded
Add, integrate, and standardize new data sources, and create new fields, dimensions, and metrics on demand as business needs change
Maintain architectural separation between commercial data and Medical Affairs activity data by design
Apply agentic AI to support data automation and governance at scale
Transform data into alerts and actionable intelligence for field and digital platforms, including first-party activation and measurement of Rx impact from PE-CX and other initiatives
Enable automated, dynamic target-list delivery for third-party digital partners via well-governed API-based data transfers, and adapt targeting to brand strategy
Build and refine predictive ML and advanced analytics models aligned with business priorities
Serve as the technical subject matter expert for AI & advanced analytics, and hold a clear point of view on which capabilities are ready for business adoption and which require further validation
Apply agentic and generative AI where they add demonstrated value, with AI carrying consistency and synthesis and named humans retaining judgment