Manager - PPM Insights & Analytics

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Don’t meet every single requirement? Studies have shown under recognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

The Manager - Global R&D Portfolio Insights & Analytics will support analytics and data-driven decision making for Elanco’s global R&D portfolio. The role focuses on developing portfolio dashboards, generating portfolio insights, and supporting scenario-based analysis to guide R&D investment and pipeline decisions.

This position will primarily focus on descriptive and diagnostic analytics through BI reporting, with opportunities to contribute to predictive analytics, portfolio simulations, and advanced analytics initiatives. Experience with AI-enabled portfolio management approaches is considered valuable.

The role will collaborate with cross-functional teams including R&D, Finance, Commercial, and Strategy to ensure reliable portfolio reporting and actionable insights for leadership decision making.

• BI Reporting (Primary)
• Build and maintain descriptive portfolio dashboards that clearly answer, “what happened?” (e.g., pipeline composition, progress, milestones, throughput, key KPIs) and are governance ready.
• Extend dashboards with diagnostic views that answer “why did it happen?” via variance analysis, driver decomposition, segmentation, and root-cause narratives (e.g., delays, scope changes, resourcing constraints, data quality issues).
• Develop predictive views (third priority) that answer “what is likely to happen?” using forecasting and pipeline evolution analytics, in partnership with the Senior Manager (e.g., projected milestone attainment, risk signals, expected portfolio mix changes).
• R&D Portfolio / Pipeline Simulation & Scenario Modeling
• Operate and improve pipeline simulation and scenario models to evaluate portfolio trade-offs (timing, attrition/risk, capacity constraints, and sensitivities) and translate outputs into decision-relevant insights.
• Maintain modeling standards (assumptions, parameter definitions, documentation, versioning) to ensure repeatability and stakeholder trust.
• AI-Enabled Portfolio Analytics
• Support practical application of AI-enabled portfolio analytics (e.g., early risk indicators, automated insight generation, anomaly detection/data consistency checks) that improves cycle time and decision quality.
• Partner cross-functionally to identify and pilot high-value AI/advanced analytics use cases aligned to portfolio governance needs.
• Cross-Functional Collaboration & Communication
• Coordinate inputs across R&D teams and key partners (Finance, Commercial, Strategy) to ensure consistent definitions, timely updates, and “one version of truth” portfolio reporting.
• Convert complex analytics into clear storylines and recommendations for leadership discussions and governance forums.

• Bachelor’s or Master’s degree in Engineering, Statistics, Data Analytics, Finance, Economics, Life Sciences, or related quantitative field
• 3–5 years of…