Associate Director, Learning Operations and Data Strategy

Associate Director, Learning Operations and Data Strategy Join to apply for the Associate Director, Learning Operations and Data Strategy role at BioSpace . At Lilly, we unite caring with discovery to make life better for people around the world. Our global healthcare leader employs a collaborative, data‑driven approach to transform learning and operations across manufacturing and quality. Overview The Associate Director is a techno‑functional leader responsible for setting and leading the data strategy, analytics, and visualization efforts across Global Manufacturing and Quality Learning & Development. This role combines leadership in data science, business intelligence, and digital transformation with a focus on operational excellence, strategic growth, and a learning culture empowered by analytics. Core Responsibilities Execute and set the vision for the 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 expand data‑science‑driven business solutions across M&Q in partnership with View email address on click.appcast.io. Ensure alignment and common understanding of data strategy and learning operations across global teams and key partners. Drive systems integration to deliver guided execution and hyper‑automation, generating insights for evidence‑based decision making. Project Delivery Ownership Serve as a trusted advisor and authority, actively participating in all projects. Lead 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 and 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. Operational Excellence & Process Management 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) for analytics and system integration. Supervise key performance indicators, identify improvement areas, and drive continuous improvement initiatives in learning operations and data strategy. Talent Development, People Leadership, and Collaboration 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. Data Strategy & Analytics Innovation 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 machine learning, artificial intelligence, and natural language processing. Partner with business collaborators and technical teams to ensure data standardization, availability, and quality. Integrate 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. Employee and Stakeholder Engagement Drive data‑driven problem solving to 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 initiatives. Collaborate with Finance, HR, and other business partners on performance tracking and metrics. Support building organizational skills in data‑driven problem solving and digital learning innovation. Basic Requirements Bachelor’s degree in business, marketing, computer/data science, or a similar field. 5+ years of relevant experience, demonstrating success in establishing and leading high‑performing analytics/data‑science teams, ideally in healthcare or pharma. Extensive experience in machine learning, artificial intelligence, natural language processing, advanced mathematical and predictive modeling, and visual analytics. Authorized to work in the United States on a full‑time basis. Lilly does not sponsor work authorization or visas. Preferred Qualifications / Skills Master’s degree in technology, statistics, mathematics, econometrics, operations research, data science, or a related field. Solid understanding of statistics, data wrangling, cleaning, and large‑dataset redefinition, with the ability to develop scalable apps and dashboards for sophisticated business needs. Proficient coding in R and/or Python; expertise in Microsoft Power Platform (Power BI, PowerApps), Tableau, Spotfire, and related visualization tools. Strong analytical thinking, problem‑solving, and business problem definition skills. Exceptional communication skills, including executive‑level verbal and written presentations, and ability to simplify complexity. 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 impactful solutions. Experience with value‑based agreements and understanding of employer/stakeholder needs. Proficiency in MS Word, Excel, and PowerPoint, and experience managing app lifecycle and secure data integrations. Preferred certification in Microsoft Power Platform (PL‑400, PL‑600, PL‑300). 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 in Power BI and PowerApps. Ability to develop and complete upskilling plans for teams and individuals, fostering inclusive communities of practice. EEO and Accommodation Statement Lilly is dedicated to helping individuals with disabilities actively engage in the workforce, ensuring equal opportunities. If you require accommodation to submit a resume, complete the accommodation request form ( Lilly is an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Compensation and Benefits Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated salary range is $122,250 - $179,300. Full‑time employees are eligible for a company bonus, depending on company and individual performance. Lilly offers a comprehensive benefit program, including 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible benefits, life insurance, and well‑being benefits.

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