Eli Lilly and Company · 4 months ago
Associate Director, Learning Operations and Data Strategy
US, Indianapolis IN
Full-time
Onsite
Lead/Staff, Director/Executive
$122K/yr - $179K/yr
5+ years expEli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. The Associate Director, Learning Operations and Data Strategy is responsible for leading data strategy and analytics efforts across Global Manufacturing and Quality Learning & Development, focusing on operational excellence and data-driven insights for business decision-making.
BiotechnologyHealth CareMedicalPharmaceutical
No H1B
Responsibilities
Execution of strategy
Set the vision and complete data strategy, integrating sophisticated analytics, visualization, and business intelligence across commercial, learning, and transformation teams
Drive strategic discussions to identify key opportunities, whitespace, and innovative solutions for data-driven business and learning outcomes
Champion analytic capabilities and the expansion of data science-driven business solutions across M&Q partnering with Tech@Lilly
Ensure alignment and common understanding of data strategy and learning operations across global teams and key partners
Drive the integration of systems to deliver integrated, guided execution and Hyper-automation generating insights for evidenced-based decision making
Serve as a trusted advisor and authority, actively participating in all projects
Lead the design, development, and deployment of interactive dashboards, reports, and data-driven learning platforms using Power BI, PowerApps, Tableau, Spotfire, or equivalent tools
Develop and operationalize dashboards/critical metrics in support of strategic and tactical plans, ensuring data accuracy, quality, and integrity
Present outcomes and recommendations to collaborators at all levels, simplifying complexity and inspiring action
Establish and optimize core business and learning operations, ensuring long-term and short-term goal setting, governance, performance, and risk management systems
Implement best project management practices (agile/scrum as needed), both for analytics and system integration
Supervise key performance indicators, identify areas for improvement, and drive continuous improvement initiatives in learning operations and data strategy
Network with industry experts, consultants, and external partners to develop, test, and implement new approaches for analytics and learning capabilities
Lead without authority, through ambiguity, and influence multi-functional teams to achieve strategic objectives
Coach and deploy agile teammates to accelerate initiatives and ensure resourcing in key priority areas
Lead development and execution of comprehensive data strategies to power the employee learning experience, optimize operations, and measure performance
Conduct exploratory data analysis, root-cause investigation, and predictive modeling using sophisticated techniques including machine learning, artificial intelligence, and natural language processing
Partner with business collaborators and technical teams to ensure data standardization, availability, and quality
Integrate working models for analytics capabilities across teams, driving cross-pollination of standard processes and technology adoption
Ensure secure and effective data connections through data gateways, and API/cloud integrations
Drive data-driven problem solving to enable focus on top employee challenges, enhancing learning outcomes and business results
Derive actionable insights from multiple sources to optimize employee experience and operational effectiveness
Demonstrate the value of learning operations and data strategy externally to select collaborators, supporting Lilly’s mission of improving lives
Report to leadership, providing regular updates on strategy, operations, performance, and impact of learning operations and data strategy initiatives
Collaborate with Finance, HR, and other business partners on performance tracking and metrics
Support the building of organizational skills in data-driven problem solving and digital learning innovation
Qualification
Required
Bachelor's degree in business, marketing, computer/data science, or similar field (for foundational requirements)
5 years of relevant work experience with demonstrated success in setting up and leading high-performing analytics/data-science teams, ideally in healthcare, pharma, or related industries
Extensive experience in machine learning, artificial intelligence, natural language processing, advanced mathematical and predictive modeling, and visual analytics
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 and/or visas for this role
Preferred
Master's degree in technology, statistics, mathematics, econometrics, operations research, computer science, data science, business, or related field
Solid understanding of statistics, data wrangling, data cleaning, and redefining large datasets, with ability to develop scalable apps and dashboards for sophisticated business needs
Significant coding experience in R and/or Python, and proficiency in Microsoft Power Platform (Power BI, PowerApps), Tableau, Spotfire, and related visualization tools
Demonstrated strengths in analytical thinking, problem-solving, business problem definition, and attention to detail
Exceptional communication skills, including executive-level verbal and written presentations, and ability to simplify complexity and tell compelling data stories
Proven ability to lead without authority, thrive in ambiguity, and drive results through collaboration and influence
Track record of achieving operational excellence and leading continuous improvement initiatives
High learning agility, entrepreneurial mindset, and passion for technology, innovation, and building impactful solutions
Experience with value-based agreements and understanding employer/stakeholder needs
Proficiency in MS Word, Excel, and PowerPoint, and experience managing app lifecycle and secure data integrations
Certification in Microsoft Power Platform (PL-400, PL-600, PL-300) preferred
Experience with Agile/Scrum methodologies and advanced analytics platforms (e.g., Power Automate, Python/R)
Familiarity with industry important metrics relevant to drug development, pharma, healthcare, and learning operations
Knowledge of BI, data governance, security roles, and row-level security (RLS) within Power BI and PowerApps
Ability to develop and complete upskilling plans, both for teams and individuals, and supply to inclusive and innovative communities of practice
Benefits
Company bonus (depending, in part, on company and individual performance)
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
David Ricks
Chair, CEO
Lucas Montarce
Executive Vice President and Chief Financial Officer
Recent News
Straits Times
2026-02-05
2026-02-05
Company data provided by crunchbase