Associate Director - Product Owner Employer Reporting

Role Summary

As the Employer Reporting Product Owner, you will define and drive a comprehensive analytics strategy that supports every stage of the employer engagement lifecycle—from identifying and prioritizing target accounts to equipping field teams with compelling value narratives, monitoring formulary adoption, generating real-world evidence of medicine outcomes, and sustaining long-term employer coverage and account health.

As part of the Sales and Marketing Data team within Tech@Lilly USA, you’ll translate complex business needs into forward-looking analytics solutions that move the organization beyond traditional reporting toward AI-powered, self-service analytics experiences.

This role requires the ability to operate in ambiguity, drive clarity in undefined spaces, and translate complex business needs into forward-looking solutions that move the organization beyond traditional reporting and toward AI-powered, self-service analytics experiences.

Responsibilities

• Own the vision, strategy, and roadmap for Employer reporting and analytics capabilities, ensuring alignment with Lilly USA's Employer priority and the broader Sales and Marketing Data portfolio.
• Translate strategic business priorities into actionable product roadmaps and deliver on them through disciplined execution — on time and with measurable outcomes.
• Own the full feature lifecycle from requirements definition through deployment, managing portfolio epics, features, spikes, risks, and dependencies.
• Lead PI planning and solution-level syncs in partnership with business and technology stakeholders.
• Define KPIs and ensure delivery of meaningful, measurable value across the Employer, LVA, and FRM organizations.

• Partner with the Lilly Value and Access organization to deeply understand business needs and translate them into technical solutions that deliver rich organizational value.
• Partner with Technical Product Managers and Tech@Lilly architects to validate high-level solution architecture, ensuring proposed solutions are feasible, compliant, and aligned to product goals.
• Lead cross-functional teams — spanning business, IT, and external partners — to deliver integrated analytics solutions.
• Operate effectively in ambiguous, "gray space" environments, driving clarity as requirements emerge and evolve.
• Ensure delivery adheres to appropriate AI, quality, and compliance requirements and standards.

• Champion a forward-looking analytics vision that moves the organization decisively beyond static dashboards and pre-built reports toward dynamic, self-service, and AI-driven capabilities.
• Identify and drive opportunities to replace or augment conventional reporting with conversational AI, natural language querying, and intelligent decision-support tools that put insights directly in the hands of business users.
• Evaluate and advocate for emerging analytics technologies — including generative AI — that surface insights proactively rather than requiring users to know what questions to ask.
• Partner with business stakeholders to identify where traditional reporting creates friction, designing solutions such as embedded analytics, predictive models, and AI-generated recommendations that reduce dependency on pre-built reports.
• Foster a culture of data fluency within the Value and Access organization by enabling self-service tools that make complex data accessible to non-technical users without requiring analyst intervention.
• Stay current on industry trends in employer engagement, value-based care, AI, and healthcare analytics, bringing outside-in perspective to the roadmap.

• Serve as the strategic liaison between business stakeholders and technology teams, ensuring consistent alignment on priorities, resource use, and unified delivery.
• Communicate program progress, risks, and strategic insights to senior leaders through data-backed storytelling and compelling visualization.
• Influence strategy and drive business impact through exceptional communication with leaders at all levels of the organization.
• Partner with AI Committees, Digital Core, Global Data, Enterprise Architecture, and external vendors to align strategies and accelerate AI and analytics adoption.

Success Measures

• Delivery of 2026 roadmap milestones with measurable business outcomes across Employer, LVA, and FRM organizations.
• Accelerated transition from traditional reporting to self-service, AI-powered analytics experiences.
• Increased data fluency and analytics adoption across the Value and Access organization.
• Stronger collaboration and alignment between business stakeholders and technology delivery teams.
• Demonstrated ROI and outcomes reporting that advances Lilly's Employer customer strategy.

Qualifications

• Bachelor's degree in Business, Data Analytics, Computer Science, Information Technology, or related field
• Experience applying AI and machine learning applications in analytics, including familiarity with Generative AI capabilities and their application to reporting, decision support, and business insights.
• Experience working in data and analytics, with proven ability to translate business needs into technical requirements and actionable insights.
• Experience with product ownership in an Agile environment (Scrum, SAFe, or Kanban).
• Experience with product management and collaboration tools such as Jira and Jira Align.

Skills

• Experience in the pharmaceutical or healthcare industry, particularly supporting sales or commercial organizations with data and analytics solutions.
• Understanding of Value and Access, Market Access, or employer/payer engagement concepts.
• Experience with commercial data products (e.g., Customer, Product, Claims data).
• Familiarity with cloud environments (AWS preferred) and comfort working alongside engineering teams in data lake or Databricks-based architectures.
• Background in healthcare economics, outcomes research, or value-based care analytics.
• Proven track record of leading complex, cross-functional initiatives from concept to realization.
• Proven ability to work effectively with senior business leaders and drive strategic initiatives.
• Superb communication, collaboration, and influencing skills across business and technical audiences.