US_AD, Analytics & Insights

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 a number of 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.

This role will serve as a subject‑matter expert for advanced analytics, architect scalable analytical solutions, and influence cross‑functional strategies. Ensure analytical outputs are robust, reusable, and directly tied to business value and measurable outcomes.

• Architect reusable analytical solutions and standards (semantic layers, KPI definitions, reusable components) that reduce time-to-insight and scale across brands/regions.
• Document design decisions and deprecate duplicative tools to lower TCO.
• Define quality thresholds and SLAs with Data Management Team.
• Advance causal inference/forecasting approaches (e.g., uplift modeling, time-series) and create reusable feature stores/pipelines.
• Document assumptions and monitor model drift.
• Define governance for metrics, lineage, and access.
• Implement semantic layers and data contracts to ensure consistency and least‑privilege access.
• Implement usage governance to reduce spend without sacrificing service levels.
• Influence portfolio prioritization with ROI business cases.
• Ensure the analytics backlog aligns to strategy and capacity.
• Share best practices across Marketing, Sales, Finance.
• Publish playbooks and reusable assets to speed delivery and quality.
• Provide deep subject‑matter expertise in animal health and adjacent verticals.
• Ensure analytical methods reflect commercial realities and regulatory constraints.

• Bachelor’s required
• Master’s (MBA/MS) preferred
• 7–10 years relevant experience
• SQL
• Python/R
• Snowflake
• Optimization;
• AWS

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).