Manager, R&D Data Steward

🕒 April 28

🇺🇸 United States – Remote

💵 $123.2k - $163.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BeOne Medicines

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2010

🧬 Biotechnology

🏥 Healthcare

💊 Pharmaceuticals

Biotechnology • Healthcare • Pharmaceuticals

BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.

📋 Description

• Lead stewardship activities for assigned R&D data domains and data products • Ensure data is well-defined, discoverable, appropriately governed, quality-assessed, and fit for intended use • Interpret R&D business processes and data flows and translate them into governed metadata, business context, and quality controls • Determine authoritative data sources and resolve conflicting interpretations with Data Owners and SMEs • Implement stewardship standards, workflows, governance metadata, CDE practices, and FAIR data principles • Curate and quality-review business terms, definitions, aliases, taxonomy, CDEs, classifications, ownership, permitted use, and descriptions • Drive catalog completeness and consistency in Informatica CDGC • Lead data-product readiness, certification, publication, lifecycle review, and recertification in Informatica Data Marketplace • Perform and review complex data profiling, including patterns, keys, anomalies, referential checks, and cross-table relationship discovery • Define data-quality rules, thresholds, severity levels, and monitoring expectations • Investigate, disposition, analyze root causes, and coordinate remediation for significant data-quality issues • Use SQL, Databricks, Python, and PySpark for data analysis, validation, and automation • Apply GenAI, LLMs, prompt engineering, and AI-assisted workflows to stewardship activities • Review and validate AI-generated recommendations and establish human oversight • Apply GxP, privacy, sensitivity, retention, data-integrity, and permitted-use controls • Maintain audit-ready stewardship evidence and documentation • Coach less-experienced stewards and lead training or tool demonstrations • Collaborate with Data Owners, R&D SMEs, Data Engineering, Data Modeling, Analytics, and governance stakeholders

🎯 Requirements

• Bachelor’s degree or equivalent relevant experience in Life Sciences, Data Management, Information Systems, Computer Science, or a related field • 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 • Ability to translate business context into governed metadata and quality controls • Demonstrated analytical and technical capability using SQL and modern data platforms • Working knowledge of Informatica CDGC and Informatica Data Marketplace • Proficiency in SQL and Databricks • Working knowledge of Python and PySpark • Working knowledge of REST APIs, Git, testing, and workflow automation • Working knowledge of GenAI, LLMs, prompt engineering, AI-assisted stewardship, and AI-agent concepts • Working knowledge of ontology, semantic data, knowledge graphs, RDF/OWL/SPARQL concepts, data modeling, lineage, and data foundation concepts • Working knowledge of GxP, privacy, data integrity, and regulated data-management practices • Strong stakeholder management, problem-solving, coaching, and communication skills • Minimal travel

🏖️ Benefits

• Annual bonus plan eligibility for non-commercial roles • Incentive compensation plan eligibility for commercial roles • Discretionary equity awards • Employee Stock Purchase Plan • Medical insurance • Dental insurance • Vision insurance • 401(k) • FSA/HSA • Life insurance • Paid Time Off • Wellness benefits