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Director, Data Science & AI/ML - Animal Health

Boehringer Ingelheim

Johns Creek, GA · HybridFull-timeSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Johns Creek, GAHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Requirements

Credentials this posting asks for.

Master's degree, required

Job overview

The Director, Data Science & AI/ML leads advanced analytical capabilities across Commercial Excellence for Boehringer Ingelheim Animal Health US. The role connects business priorities with scientific expertise, leads a multidisciplinary team, and owns analytical products and services from roadmap through adoption and continuous evolution. The director partners with IT to scale solutions and demonstrates business impact across species businesses and commercial functions.

Skills & qualifications

RequiredNice to have

Skills

People Leadership, requiredCross-Functional Leadership, requiredBusiness Acumen, requiredFinancial Acumen, requiredBehavioral Segmentation, requiredPredictive Analytics, requiredStructured and Unstructured Data, requiredAdvanced Analytics, requiredArtificial Intelligence, requiredMachine Learning, requiredPython, requiredSQL, requiredAnalytical Product Ownership, requiredExecutive Communication, requiredStorytelling, requiredStakeholder Influence, requiredOrganizational Change, requiredTeam Development, required

Qualifications

Advanced Degree in Quantitative Discipline, required10+ Years Applied Data Science Experience, requiredLegally Authorized to Work in US, requiredMust Be 18+, required

Full job description

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.

JOB ID

39537

Job function

Data Science

Career level

Leadership

Organization

Boehringer Ingelheim Animal Health USA

Working time

Full-Time

Job flexibility

Hybrid

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law

How this job compares

Set against the 1,870 open Data Science jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This postingNot listed
  • Georgia median$135–230K/yr21 salary ranges
  • US median$35–47/hr138 hourly ranges
Openings
Olive Jobs lists 42 open Data Science jobs in Georgia and 1,870 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Georgia
Experience
This posting asks for at least 10 years of experience — more than three in four Data Science postings that state a minimum ask for (median 6 years, across 1,532 postings).
Education
This posting asks for a master's degree; 163 of the 1,870 open Data Science jobs (9%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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