Manager, R&D Data Steward

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer. General Description: The Manager, R&D Data Stewardship independently leads stewardship activities for assigned R&D data domains and data products. The role ensures data is well-defined, discoverable, appropriately governed, quality-assessed, and fit for intended use while coordinating with business and technical stakeholders. This individual contributor role applies strong hands-on expertise in metadata and catalog curation, data profiling, data quality, Informatica Data Marketplace, data analysis, automation, and AI-assisted stewardship. The role also coaches other stewards, resolves complex issues, and contributes to stewardship standards and capability improvement. Essential Functions of the job: · R&D Data Interpretation & Stakeholder Engagement Interpret complex R&D business processes and data flows independently and translate them into governed metadata, business context, and quality controls. Determine authoritative sources for assigned domains and resolve conflicting interpretations with Data Owners and SMEs. Act as the stewardship point of contact for assigned R&D domains. · Governance & Standards Lead implementation of R&D stewardship standards, workflows, governance metadata, CDE practices, and FAIR data principles for assigned scope. Independently resolve complex stewardship issues and coordinate decisions with Data Owners, SMEs, Privacy, Quality, Data Engineering, Data Modeling, and other stakeholders. Contribute to stewardship metrics, prioritization, standards, and continuous improvement of operating practices. · Data Context, Cataloging & Metadata Own curation and quality review of business terms, definitions, aliases, taxonomy, CDEs, classifications, ownership, permitted use, and business-friendly descriptions. Drive catalog completeness and consistency in Informatica CDGC and apply working knowledge of ontology and semantic concepts to improve business context. Interpret data models and lineage independently, and coordinate with owning teams when structural or downstream impacts require resolution. · Data Product & Marketplace Stewardship Lead stewardship readiness, certification, publication, lifecycle review, and recertification of assigned data products in Informatica Data Marketplace. Ensure data products have complete metadata, ownership, business context, quality information, fitness-for-use information, and clear consumer descriptions. Partner with Data Owners and consumers to address data product usability, trust, and governance gaps. · Data Profiling & Data Quality Independently perform and review complex profiling, including patterns, keys, anomalies, referential checks, and cross-table relationship discovery. Translate R&D business logic into data-quality rules, thresholds, severity levels, and monitoring expectations with appropriate SMEs. Lead investigation, disposition, root-cause analysis, and remediation coordination for significant data-quality issues, and coach others through complex cases. · Data Analysis, Automation & Platforms Use SQL, Databricks, Python, and PySpark to analyze data, validate stewardship outcomes, and automate repeatable profiling, DQ, metadata, and governance activities. Apply working knowledge of APIs, Git, testing, data engineering practice, and Bronze, Silver, and Gold data foundations to collaborate effectively with technical teams. Identify automation opportunities and define fit-for-purpose controls and validation for stewardship workflows. · AI-Enabled Data Stewardship Apply approved GenAI and LLM capabilities, prompt engineering, and AI-assisted workflows to profiling, metadata, cataloging, context generation, and DQ activities. Review and validate AI-generated recommendations, establish appropriate human oversight for assigned scope, and coach others on responsible use. Contribute to practical AI-agent and semantic use cases in collaboration with modeling and technology teams. · Compliance & Risk Management Apply established GxP, privacy, sensitivity, retention, data-integrity, and permitted-use controls to assigned stewardship scope and escalate policy interpretations when required. Ensure stewardship evidence and documentation support audit readiness, traceability, and appropriate risk management. · Leadership & Capability Development Coach less-experienced stewards, review their deliverables, and support their development against the stewardship skill framework. Lead training or demonstrations for stewardship tools and practices. · Collaboration, Communication & Enablement Serve as a key stewardship partner for Data Owners, R&D SMEs, Data Engineering, Data Modeling, Analytics, and governance stakeholders. Communicate stewardship findings, risks, and decisions clearly to both business and technical audiences. Supervisory Responsibilities: No - Individual Contributor Computer Skills: Strong working knowledge of Informatica CDGC and Informatica Data Marketplace. Proficiency in SQL and Databricks with working knowledge of Python and PySpark for analysis and automation. Working knowledge of REST APIs, Git, testing, and workflow automation. Working knowledge of GenAI and LLMs, prompt engineering, AI-assisted stewardship, and AI-agent concepts. Working knowledge of ontology, semantic data, knowledge graphs, and RDF/OWL/SPARQL concepts, and of data modeling, lineage, and data foundation concepts, sufficient to interpret them independently and collaborate with owning teams. Qualifications: Bachelor’s degree in Life Sciences, Data Management, Information Systems, Computer Science, or a related field, or equivalent relevant experience. Demonstrated ability to independently deliver data stewardship, metadata and cataloging, data product, profiling, and data-quality activities in a complex environment. Strong practical knowledge of R&D data domains and the ability to translate business context into governed metadata and quality controls. Demonstrated analytical and technical capability using SQL and modern data platforms; automation experience is preferred. Working knowledge of GxP, privacy, data integrity, and regulated data-management practices. Strong stakeholder management, problem-solving, coaching, and communication skills. Education Required: Bachelor’s degree or equivalent in Life Sciences, Data Management, Information Systems, Computer Science, or a related field Travel: Minimal Global Competencies When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world. Fosters Teamwork