Senior Advisor-Data & Analytics

Elanco – Senior Advisor, Data & Analytics

Elanco is a global leader in animal health dedicated to innovation and delivering products and services that prevent and treat disease in farm animals and pets. Below you’ll find the responsibilities, qualifications, and benefits for this role.

• Support the definition and execution of the Data & Analytics vision, focusing on scalability and a "Data as a Product" mindset.
• Partner with Enterprise Architecture to ensure data models and pipelines support long‑term business intelligence and AI/ML goals.
• Identify opportunities to modernize the data ecosystem, reducing technical debt while improving data accessibility and quality.
• Ensure that data governance, privacy, and security are baked‑in to every stage of the data lifecycle.
• Act as the primary translator and bridge between Product Management, Engineering, and Data Science to deliver data solutions that drive ROI.
• Engage closely with IT and Information Security to ensure data platforms are robust, compliant, and performant.
• Establish strong partnerships with business units to anticipate their analytical needs and proactively deliver data solutions.
• Advise delivery teams across the project lifecycle, ensuring alignment with the broader Data & Analytics strategy.
• Bring an external lens to Elanco, staying abreast of emerging trends in Data Engineering, Agentic AI, and modern data stack architectures.
• Manage relationships with strategic data vendors and consortia to shape industry‑leading approaches.
• Position Elanco as a leader in the Data & Analytics space through external engagement and thought leadership.
• Serve as a coach and mentor across the D&A community to advance technical acumen and product‑centric thinking.
• Participate in recruitment and talent programs to build a world‑class data organization.
• Identify skill gaps within the team and proactively suggest development paths for future‑ready data roles.

• Bachelor’s Degree in Information Technology, Data Science, Computer Science, or a related field.
• 7+ years of experience in technology leadership within Data & Analytics or Enterprise Insights environments.
• 7+ years of experience across the data lifecycle: data engineering, warehousing, BI tools, and data science integration.
• Practical experience leading product‑centric teams with a proven track record of delivering data products to production.
• 7+ years of experience working with public cloud data architectures (e.g., Microsoft Azure, Google Cloud Platform, Snowflake, Databricks).
• 3+ years of experience working with Artificial Intelligence (AI) and Machine Learning (ML) integration.
• Demonstrated ability to communicate complex data concepts to non‑technical senior leadership.
• Expertise in bridging the gap between technical engineering requirements and business‑facing product roadmaps.
• Strong negotiation and facilitation skills, particularly in complex, global matrix organizations.

• Experience in the Life Sciences or Pharmaceutical industry.
• Strong understanding of Generative AI and Large Language Models (LLMs).
• Graduate work or additional certifications in Data Science and/or certifications in line with DAMA/DMBOK.

Location:

Indianapolis, IN – Global HQ (Hybrid Environment). Occasional travel may be required.

• Comprehensive benefits package focusing on financial, physical, and mental well‑being.
• Relocation packages.
• Two week‑long shutdowns (mid‑summer and year‑end) in the US (in addition to PTO).
• 8‑week parental leave.
• Annual bonus offering.
• Flexible work arrangements.
• Up to 6% 401(k) matching.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.