Director, Data Science & AI/ML - Animal Health

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Director, Data Science & AI/ML leads the development and adoption of advanced analytical capabilities across Commercial Excellence within Boehringer Ingelheim Animal Health US. Reporting to the VP, Commercial Excellence, this leader connects business priorities with scientific expertise to solve complex challenges and deliver measurable value across species businesses and commercial functions.

The role combines strong business acumen, people leadership and analytical judgment. You will lead a multidisciplinary team and co-create analytical products and services with business partners, taking accountability for their roadmap, launch, adoption and continuous evolution. Through close partnership with IT, you will facilitate their industrialization, integration and scaling.

Duties & Responsibilities

- Shape the strategy and portfolio. Define and execute the Data Science and AI/ML roadmap across Commercial Excellence. Translate business challenges into clearly scoped initiatives, prioritize investment based on expected value and feasibility, and establish measurable success criteria.

- Advance customer understanding and commercial action. Lead behavioral segmentation and predictive modeling across customer potential, propensity, retention, churn and lifetime value. Connect these capabilities to targeting, personalization, next-best-action and resource allocation.

- Solve complex business challenges. Apply predictive and prescriptive analytics, experimentation, causal methods, simulation and optimization to improve commercial decisions, customer experiences and operational effectiveness.

- Unlock value from diverse data. Combine structured and unstructured information, including transactions, engagement signals, field notes, customer feedback and documents, to generate actionable intelligence. Evaluate opportunities for generative and agentic AI where they address a clear business need.

- Own analytical products and services. Co-create solutions with Commercial Excellence and species businesses, managing their lifecycle from discovery and prioritization through validation, launch, adoption, continuous improvement and retirement. Partner with IT to facilitate industrialization and sustainable integration into business processes.

- Deliver and demonstrate business impact. Establish business cases and track adoption, incremental value, decision quality and efficiency. Communicate results and limitations clearly, and adjust the portfolio as evidence and priorities evolve.

- Build a business-oriented team. Recruit, coach and develop talent that combines scientific rigor with commercial understanding. Guide analytical approaches, challenge assumptions and ensure appropriate validation, explainability and responsible use.

- Lead change and capability development. Stay current with emerging methods and industry practices, translating relevant advances into practical capabilities. Act as a change agent within and beyond Commercial Excellence, building confidence and adoption through executive communication, collaboration and education.

Requirements

- Advanced degree in Statistics, Mathematics, Data Science or a related quantitative discipline.

- Minimum 10 years of progressive experience in applied data science, advanced analytics or AI/ML, including demonstrated people leadership and delivery of complex cross-functional initiatives.

- Experience in Animal Health, life sciences, healthcare or other complex commercial environments, including consumer goods, retail or B2B businesses. Animal Health experience is preferred. Candidates from adjacent sectors should demonstrate transferable commercial expertise and the ability to develop a strong understanding of species businesses, customer needs, channels and routes to market.

- Strong business and financial acumen, including an understanding of P&L drivers, customer economics, margins, ROI and investment prioritization.

- Demonstrated experience translating behavioral segmentation, predictive analytics and other advanced methods into commercial actions and measurable outcomes.

- Experience generating business value from structured and unstructured data, with sound judgment on data quality, representativeness and appropriate analytical approaches.

- Broad fluency in advanced analytics and modern AI. Working knowledge of Python, SQL and relevant analytical tools sufficient to guide technical teams, challenge approaches and assess feasibility and quality.

- Proven ownership of analytical or AI products through launch, adoption and continuous improvement, including collaboration with IT to enable scalable business use.

- Strong executive communication, storytelling and stakeholder influence, with the ability to simplify complexity, navigate competing priorities and lead organizational change.

- Demonstrated ability to develop multidisciplinary teams and foster curiosity, accountability, scientific rigor and business acumen.

Eligibility Requirements :

- Must be legally authorized to work in the United States without restriction.

- Must be willing to take a drug test and post-offer physical (if required).

- Must be 18 years of age or older.