Global Data & AI Enablement Leader - Drive ROI & Impact

pharmaessentiausa; Burlington (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive medical coverage

Dental and vision coverage

Generous paid time-off

401(k) retirement plan withcompetitive

Medical & Dependent Care Flexible is

Job summary

PharmaEssentia USA seeks a Senior Director, Global Data & AI Enablement to lead a new function responsible for master data, data infrastructure, measurement, and AI/ML capabilities across Commercial. Initial focus will be the U.S.

and Japan, with the leader building the team and capability. The role partners with Commercialization Analytics & Operations, Sales, IT, Legal, and external vendors to ensure data accuracy, governance, and evidence of how investments drive revenue.

Qualifications

• 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.

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.

Skills

SQL expertise

Data governance

ML models

Stakeholder management

Vendor management

Education

Bachelor's degree

Job description

PharmaEssentia USA seeks a Senior Director, Global Data & AI Enablement to lead a new function responsible for master data, data infrastructure, measurement, and AI/ML capabilities across Commercial. Initial focus will be the U.S.

and Japan, with the leader building the team and capability. The role partners with Commercialization Analytics & Operations, Sales, IT, Legal, and external vendors to ensure data accuracy, governance, and evidence of how investments drive revenue.