Prinicpal Product Manager, G&A Data & Intelligence

Revolution Medicines is a global commercial-state oncology company dedicated to discovering developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform the company is advancing a broad integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active cancer-driving state of on rigorous scientific inquiry and a willingness to challenge long-held assumptions Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.

Our people are united by a shared way of working: follow the science challenge assumptions act with urgency and hold ourselves to a high standard of rigorall in service of patients.

The Opportunity

We are seeking a Principal Product Manager G&A Data & Intelligence to shape data products and intelligence capabilities that help RevMed transact close plan forecast govern and scale with trusted business data.

As RevMed scales toward commercialization this role will focus first on ERP and Finance data products that support launch readiness revenue operations inventory visibility demand planning financial controls reporting confidence and executive decision-making. The ideal candidate brings deep ERP and Finance data experience preferably with NetSuite or a similar ERP platform. While the role spans multiple G&A domains the highest priority is ERP and Finance data followed by People data Procurement data and Legal data.

Product surfaces may include finance data marts executive reporting products revenue and inventory intelligence demand planning datasets workforce analytics spend intelligence contract lifecycle insights governed business metrics and natural language access to priority G&A data.

Key Responsibilities

Own G&A data product strategy and business outcomes

• Define the vision and roadmap for G&A data products and intelligence capabilities across Finance ERP People Procurement Legal and related enterprise workflows.

• Prioritize ERP and Finance data products across general ledger inventory management revenue recognition demand planning financial reporting forecasting and operational controls.

• Set success metrics tied to close efficiency reporting accuracy forecast confidence inventory visibility revenue readiness planning cycle time self-service usage and reduced manual work.

• Build a Now Next Later roadmap that balances ERP and Finance data maturity with broader G&A analytics automation and decision support.

Shape data products around Finance and operating decisions

• Understand workflows across Accounting FP&A Finance Operations Supply Chain Commercial Operations People Procurement Legal and executive stakeholders.

• Design data products around key decision moments such as financial close revenue recognition inventory visibility demand planning budget planning forecast updates workforce planning vendor spend and contract visibility.

• Translate business workflows and analytical needs into clear product requirements and prioritized capabilities.

• Determine when to build buy partner configure or integrate based on user value data availability platform fit compliance needs scalability interoperability and maintainability.

Establish trusted reusable G&A data products

• Partner with Finance IT Data Security vendors and source-system owners to deliver priority G&A data products from NetSuite and adjacent platforms.

• Clarify systems of record and reusable data products for key business data including general ledger vendors purchase orders inventory revenue forecasts workforce data compensation data contracts approvals and audit-relevant attributes.

• Improve data quality metadata lineage governance controls reporting readiness and usability across ERP planning HRIS recruiting compensation procurement and legal source systems.

• Ensure G&A data products turn financial operational people procurement and legal data into decision-grade insights not just transactions extracts or static reports.

Enable self-service insights automation and adoption

• Enable self-service reporting governed metrics variance analysis planning views workflow automation and natural language access to priority G&A data.

• Use modern AI analytics workflow and low-code tools to prototype concepts validate user needs and de-risk ideas before larger product platform or vendor investments.

• Partner with Data IT and business teams to identify automation and AI-enabled use cases such as close support variance explanation contract and policy search workforce insights vendor spend analysis and executive briefing support.

• Drive rollout and continuous improvement through usage metrics feedback loops training documentation and measurable workflow improvements.

Required Skills Experience and Education:

• 12 years of experience in Product Management Data Product Management Finance Data Products ERP Analytics Enterprise Data Platforms Business Intelligence Digital Transformation or related roles.

• Strong product leadership experience defining vision shaping strategy building roadmaps prioritizing tradeoffs influencing senior stakeholders and delivering measurable business outcomes.

• Deep experience with ERP and Finance data domains including general ledger financial close reporting inventory management revenue recognition planning forecasting demand planning and operational controls.

• Experience with NetSuite or comparable ERP platforms including how ERP data connects with planning reporting procurement inventory revenue and enterprise analytics platforms.

• Experience translating Finance Accounting FP&A Supply Chain People Procurement and Legal workflows into scalable data products and requirements.

• Product judgment to evaluate build buy partner configure and integration options based on user value data quality compliance scalability interoperability and maintainability.

• Strong understanding of enterprise data quality governance access controls auditability approvals segregation of duties reporting and compliance expectations for G&A data.

• Strong communication and stakeholder management skills across business technical vendor and executive audiences.

• Bachelors degree or equivalent experience in Business Finance Accounting Information Systems Computer Science Engineering Data or a related field.

Preferred Skills:

• Experience with NetSuite data products ERP analytics Finance data models planning data inventory data revenue data or enterprise reporting in a scaling biotech pharma life sciences or high-growth company environment.

• Experience with people data and analytics platforms such as Workday Greenhouse Radford compensation planning workforce planning or people analytics tools.

• Experience with procurement contract lifecycle management legal operations vendor management spend management or related data domains.

• Experience enabling self-service reporting enterprise analytics planning workflows automation AI-enabled business operations or low-code prototyping.

• Comfort operating in an emerging biotech environment where strategy execution ambiguity controls compliance vendor complexity and hands-on problem solving are part of the work.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect process and use any personal data that you provide to us in accordance with ourCCPA additional information please contact.

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