Associate Director - Product Owner Employer Reporting

As the Employer Reporting Product Owner, you will be responsible for defining and driving 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 get to be part of incredible opportunities in areas such as Lilly Value and Access, Field Reimbursement Managers, etc. 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. 

Key Responsibilities 

Product Ownership & Strategy 

• 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. 

Execution & Delivery Excellence 

• 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. 

AI Mindset & Next-Generation Analytics 

• 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. 

Stakeholder Management 

• 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. 

Your Basic 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. 
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

What You Should Bring:

• 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. 

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.