Senior Director of Enterprise AI Scaling and Innovation
Eli Lilly and Company (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 60–95 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Own global rollout and operational execution of NOVA AI program across multiple organizational units to shape, prioritize, and scale enterprise AI initiatives ensuring measurable business impact and production-level deployment.
- Lead cross-functional, frontier AI programs including agentification and multi-agent system development from concept through to scalable deployment, managing dependencies across technical, legal, and compliance stakeholders.
- Continuously monitor external AI technology landscape, enabling adoption of innovation by fast-tracking integration of startups and partners through optimized evaluation and onboarding processes.
Minimum Requirements
- Postgraduate degree (MBA, MSc, M.Pharm or equivalent) or equivalent professional experience.
- 15+ years progressive leadership experience in enterprise strategy, transformation, and technology within pharmaceutical, healthcare, life sciences, or comparable regulated global enterprises including substantial AI initiative leadership.
- Demonstrated success taking AI initiatives from concept to enterprise-scale production with accountable business outcomes, including expertise in architectural, data, and responsible AI governance.
- Deep technical knowledge of AI lifecycle and generative AI technologies sufficient to independently evaluate feasibility, architecture, and cost-to-scale; strong enterprise AI governance and risk management expertise.
Ideal Candidate Profile
- Senior technical leader with proven ability to influence and redirect executive-level AI initiatives in complex, matrixed, global organizations, including Global Capability Centers or Fortune-100 companies.
- Expert in bridging AI technical depth with enterprise strategy to ensure responsible deployment and measurable value realization across business functions.
- Strong experience in evaluating and integrating emerging AI technologies and startups, collaborating with procurement, legal, privacy and security to enable rapid, compliant enterprise adoption.