Senior Director Global Data & AI Enablement

About Pharma Essentia

It’s not often you get the chance to make a real impact on the lives of others, while expanding your own possibilities. You’ll find that rare opportunity n us, and let’s transform lives, together. Pharma Essentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in the areas of hematology and oncology, with one product approved and a diversifying pipeline.

We believe in the potential to improve both health and quality of life for patients with limited options today through the combination of rigorous research and innovative thinking. Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taiwan Stock Exchange (TWSE: 6446) and are expanding our global presence with operations in the U.S., Japan, Singapore, South Korea, and China, along with a world-class biologics production facility in Taichung.

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.

• 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

• Bachelor’s degree required; technical degree (data science, computer science, engineering) preferred
• 12+ years in data, analytics, or technical leadership in biotechnology,…