Senior Manager, R&D Data Literacy & Monetization

The Senior Manager, R&D Data Literacy & Monetization drives the strategic use of enterprise R&D data assets by transforming governed datasets into reusable data products that deliver measurable business value. This role sits within the R&D Data Governance organization and serves as a critical bridge between business stakeholders, data platform teams, and governance functions to enable data-driven decision-making, advanced analytics, and AI initiatives. In addition, the role champions data literacy, adoption, and a culture of trusted data usage, ensuring that R&D data is not only well-governed but actively leveraged to generate insights, improve efficiency, and drive innovation.This role enables the organization to unlock the full value of its R&D data by increasing reuse of governed datasets, reducing duplication of analytics efforts, supporting advanced analytics and AI-driven initiatives, strengthening data-driven decision-making, and demonstrating measurable returns on data investments.?Essential Functions of the job:Identify High-Value Data AssetsPartner with R&D stakeholders during use case intake and prioritization to identify high-value data opportunitiesEvaluate datasets based on business impact, reusability, and analytics/AI potentialDevelop and apply a data asset value framework to prioritize datasets for productizationCreate Reusable Data ProductsCollaborate with engineering, modeling, and governance teams to build scalable, reusable data products that align with Bronze ? Silver ? Gold medallion architectureEnsure datasets are governed, standardized, and enriched with business logic, metadata, and quality controlsEnable delivery via analytics-ready datasets, APIs, and AI/ML-ready assetsPublish and promote data products via data catalog and marketplaceEnable Internal Value CreationDrive cross-functional data reuse and insights across R&DEnable use cases such as benchmarking, standardized reporting, and AI-driven analyticsEnsure secure and compliant data access in partnership with governance and compliance teamsPromote adoption through governed platforms and standardized processesData Governance & Consumption EnablementEnsure all data products meet standards for data quality, metadata, lineage, and stewardshipMaintain compliance with privacy, regulatory, and security requirementsDefine and support data catalog and marketplace strategyEnable self-service access, provisioning workflows, and documentationTrack and drive data product adoption and usageValue Realization & Impact MeasurementDefine and track KPIs for data product adoption and value realizationMeasure impact across Data reuse and adoption, Operational efficiency, Cost savings, Analytics and AI enablementDevelop dashboards and executive reporting on data valueData Literacy & Culture EnablementDevelop training and guidance to improve data literacy and adoptionPromote data stewardship, metadata usage, and governance practicesFoster a culture of data trust, quality, and informed decision-makingCross-Functional CollaborationR&D Business StakeholdersData Governance & StewardshipData Engineering & ModelingAnalytics & AI/ML TeamsLegal, Compliance & PrivacySupervisory Responsibilities:? ??N/AQualifications & Skills7+ years of experience in data strategy, data governance, analytics, or data product managementExperience in biotech, pharmaceutical, or healthcare R&D environmentsStrong understanding of Data governance frameworks, Data product lifecycle, Data privacy, security, and regulatory requirementsExperience with modern data platforms and analytics ecosystems (e.g., Databricks)Hands-on experience with metadata management and data stewardship tools (e.g., Informatica CDGC/CDQ, Collibra, Reltio or similar MDM platforms)Familiarity with medallion architecture (Bronze ? Silver ? Gold)Experience working with clinical, safety, or R&D analytics dataExperience developing data literacy programs or training initiatives within R&D organizationsStrong ability to derive actionable insights from large datasets and translate them into business valueUnderstanding of how R&D data drives operational insights, decision-making, and enterprise valueBasic understanding of financial concepts related to data value realization and monetizationCore CompetenciesStrong stakeholder engagement and leadershipStrategic thinking and problem-solvingAbility to balance scientific, operational, and compliance needsExcellent communication and executive presentation skillsCommitment to data quality, governance, and trustEducationBachelor's degree in Life Sciences, Information Systems, Data Management, or related fieldAdvanced degree (e.g., MS, MBA) in data science, life sciences, or business preferredTechnical SkillsProficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Project)Strong knowledge of data architecture, data lakes, ETL processes, and database management systems.Ability to conduct statistical analyses and interpret findings relevant to R&D and business operations.Familiarity with machine learning concepts and how they can be applied to R&D datasets to derive insights.Travel :?Minimal??BeOne Global Competencies:When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.Fosters TeamworkProvides and Solicits Honest and Actionable FeedbackSelf-AwarenessActs InclusivelyDemonstrates InitiativeEntrepreneurial MindsetContinuous LearningEmbraces ChangeResults-OrientedAnalytical Thinking/Data AnalysisFinancial ExcellenceCommunicates with ClarityAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.