Director – Software Product Management, Enterprise AI Orchestration

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

The Director of Software Product Management for Enterprise AI Orchestration at Eli Lilly will define and drive the strategy for deploying, managing, and optimizing AI agents and workflows at an enterprise scale within the pharmaceutical industry. This role involves owning the product roadmap for an enterprise AI orchestration platform, enabling business units to build and manage AI workforces, and ensuring AI investments deliver measurable business value while adhering to compliance requirements.

What you'd actually do

  1. Define and drive the enterprise AI orchestration strategy, establishing how Lilly deploys and manages AI agents at organizational scale
  2. Own the PharmAI platform roadmap (enterprise AI orchestration platform) and associated enterprise orchestration capabilities
  3. Create playbooks and frameworks for business units to build and manage their AI workforces
  4. Monitor pharmaceutical industry trends in enterprise AI adoption and workforce transformation
  5. Experience with AI/ML products and understanding of LLM capabilities and limitations

Skills

Required

  • Demonstrated ability to influence C-suite stakeholders and drive organizational change
  • Excellence in strategic thinking with ability to translate vision into executable roadmaps
  • Strong business acumen with experience in ROI modeling and business case development
  • Outstanding communication skills with ability to articulate complex technical concepts to business audiences
  • Advanced technical degree
  • Experience in life sciences, pharmaceuticals, or regulated industries
  • Background in enterprise automation, RPA, or workflow orchestration platforms
  • Experience with organizational change management and digital transformation
  • Knowledge of pharmaceutical regulatory requirements (21 CFR Part 11, GxP)
  • Experience building and managing product teams
  • Track record of thought leadership through publications, speaking engagements, or patents
  • Bachelor's in Computer Science, Engineering, Business, or related field
  • 12+ years of product management experience with at least 5 years in enterprise platform products
  • Proven track record of driving enterprise-wide technology transformation initiatives
  • Experience with AI/ML products and understanding of LLM capabilities and limitations

Nice to have

  • Advanced technical degree
  • Track record of thought leadership through publications, speaking engagements, or patents

What the JD emphasized

  • enterprise AI orchestration strategy
  • AI agents and workflows at organizational scale
  • pharmaceutical regulatory requirements (21 CFR Part 11, GxP)
  • regulated industries

Other signals

  • Enterprise AI Orchestration strategy
  • deploy, manage, and optimize AI agents and workflows at organizational scale
  • transforming how work gets done across the enterprise
  • shape the future of enterprise AI adoption in pharmaceuticals
  • working at the intersection of advanced technology and business transformation
  • define how organizations monitor agent performance, optimize workflows, and measure the business impact of AI deployment
  • create an orchestration layer that enables leaders and teams to deploy and manage AI workforces at scale
  • establish Lilly as a leader in pharmaceutical AI transformation
  • create capabilities that turn individual AI tools into coordinated organizational assets
  • balancing technical sophistication with business pragmatism
  • ensuring our AI investments deliver measurable enterprise value
  • Define and drive the enterprise AI orchestration strategy
  • Enable measurement of Digital Worker Impact (DWI) and AI workforce ROI across the enterprise
  • Establish governance models for enterprise AI deployment that balance innovation with compliance requirements
  • Partner with C-suite and senior leaders to align AI workforce strategy with business transformation goals
  • Own the PharmAI platform roadmap (enterprise AI orchestration platform) and associated enterprise orchestration capabilities
  • Define integration strategies with existing platforms and products to create a unified AI ecosystem
  • Establish standards for agent interoperability and workflow orchestration across business units
  • Drive development of business-specific AI studios (Finance, Legal, Clinical, etc.) in partnership with domain leaders
  • Create playbooks and frameworks for business units to build and manage their AI workforces
  • Establish Centers of Excellence for AI workforce deployment across key business areas
  • Define success metrics and KPIs for enterprise AI adoption and impact
  • Build executive dashboards for AI workforce visibility and governance
  • Monitor pharmaceutical industry trends in enterprise AI adoption and workforce transformation
  • Influence enterprise-wide AI adoption strategy and change management
  • Partner with HR, Finance, and Operations on AI workforce planning and impact assessment
  • Lead cross-functional steering committees for major AI transformation initiatives
  • Serve as a spokesperson for enterprise AI orchestration internally and externally
  • Demonstrated ability to influence C-suite stakeholders and drive organizational change
  • Excellence in strategic thinking with ability to translate vision into executable roadmaps
  • Strong business acumen with experience in ROI modeling and business case development
  • Outstanding communication skills with ability to articulate complex technical concepts to business audiences
  • Advanced technical degree
  • Experience in life sciences, pharmaceuticals, or regulated industries
  • Background in enterprise automation, RPA, or workflow orchestration platforms
  • Experience with organizational change management and digital transformation
  • Knowledge of pharmaceutical regulatory requirements (21 CFR Part 11, GxP)
  • Experience building and managing product teams
  • Track record of thought leadership through publications, speaking engagements, or patents
  • Bachelor's in Computer Science, Engineering, Business, or related field
  • 12+ years of product management experience with at least 5 years in enterprise platform products
  • Proven track record of driving enterprise-wide technology transformation initiatives
  • Experience with AI/ML products and understanding of LLM capabilities and limitations