Senior Director Global Data & AI Enablement

PharmaEssentia U.S.A.; Burlington (MA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Comprehensive medical coverage

Dental and vision coverage

Generous paid time-off

401(k) retirement plan with company-m

Flexible Spending Account

Job summary

PharmaEssentia USA seeks a Senior Director of Global Data & AI Enablement to lead a new function that builds master data, data infrastructure, and AI/ML capabilities for Commercial. The role collaborates across Commercial, Sales, Marketing, IT, and affiliates to ensure trusted data and evidence-based investments drive revenue.

Reporting to the Head of Global Operations, the leader will shape governance standards, enable predictive analytics, and guide AI adoption with human judgment preserved in

Qualifications

• Bachelor’s degree required; technical degree preferred
• 12+ years in data, analytics, or technical leadership in biotech, pharma, or healthcare
• Experience building or leading master data management, governance, and data infrastructure programs
• Hands-on proficiency in SQL and building/predicting ML models
• Experience designing controlled commercial experiments and defending results to leadership
• Experience partnering with commercial functions to translate data infrastructure into activation-ready capability
• Experience owning external data or analytics vendor relationships

Responsibilities

• Own the measurement architecture linking commercial investment to revenue
• Own patient-finding and patient-persistence analytics and allocate resources with confidence
• Establish and maintain customer-level master data as the single source of truth
• Define data governance standards and onboard new data sources/vendors
• Apply AI to support data automation and governance at scale
• Transform data into alerts and actionable intelligence for field/digital platforms
• Build predictive ML models aligned with business priorities
• Serve as SME for AI/advanced analytics and validate readiness for business adoption

Skills

SQL

Data governance

Data infrastructure

Leadership

Analytics leadership

Experimentation design

Vendor management

Cross-functional partnering

AI/ML concepts

Communication

Education

Bachelor’s degree in data science / engineering / CS

Tools

Python

R

ML frameworks

ETL tools

Job description

About PharmaEssentia:

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 at PharmaEssentia. Join us, and let’s transform lives, together. PharmaEssentia 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.

Position Summary

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.

Key Responsibilities

Analytics and ROI measurement

• 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

Data Foundations & Management

• 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

Data-Driven Enablement

• 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

AI / ML / Advanced Analytics

• 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

Required 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 randomized 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

Preferred Qualifications

• 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

Benefits of working with our team:

• Comprehensive medical coverage
• Dental and vision coverage
• Generous paid time-off
• 401(k) retirement plan with competitive company match
• Medical & Dependent Care Flexible Spending Account
• Monthly cell phone reimbursement
• Employee Assistance Program

At PharmaEssentia USA, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. PharmaEssentia USA believes that diversity and inclusion among our team are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

PharmaEssentia does not accept unsolicited agency resumes. Staffing agencies should not send resumes to our HR team or to any PharmaEssentia employees. PharmaEssentia is not responsible for any fees related to unsolicited resumes from staffing agencies.

At PharmaEssentia, our goal is to treat as many people with cancer as possible. That means challenging the status quo with better science that leads to better lives. By joining our team, you will not only expand your own possibilities, but you will contribute to expanding options for people with cancer.

https://us.pharmaessentia.com/careers/