Senior Manager, Scientific Discovery Capacity Planning
Cambridge, MA USA$140k - $186.7kfull-timePosted 2mo ago
About the role
Senior leadership role overseeing capacity planning to translate demand into delivery and operations, ensuring scalable, profitable execution across AI Science Factory initiatives.
Responsibilities
- Build, own, and execute end-to-end capacity planning processes for every commercial proposal and scientific capability.
- Translate demand forecasts into resource, staffing, and capacity plans while identifying bottlenecks and quantifying the cost and lead time to close them.
- Maintain the authoritative record of capacity commitments across the active pipeline.
- Define standard units of measure, batch definitions, and workflow-to-demand mappings that connect Operations, Scientific, Commercial, and Financial data into a single Integrated Business Plan.
- Design and build the evolving toolset required to support Integrated Business Planning for the lab of the future.
- Partner with Product and deal teams to embed capacity assessment early while informing company roadmap and strategy.
- Distill complex, ambiguous operational data into clear recommendations for audiences ranging from individual scientists to executive leadership.
Qualifications
- Has worked in detail across a technical, scientific, or laboratory landscape quickly and translated it into strategic processes.
- 6-8+ years of experience in strategic finance, business or revenue operations, or operations.
- Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact.
- Demonstrated experience building and operationalizing a planning tool, system, or process.
- Experience defining a data model or planning framework from first principles, including units of measure and standard definitions.
- Demonstrated ability to manage cross-functional stakeholders across multiple disciplines while operating with ownership.
- Bachelor’s degree in finance, economics, engineering, operations, or a directly related technical field.
Skills
Required:Capacity planningCross-functional leadershipData modelingIntegrated Business PlanningAI tooling integrationStakeholder managementExperience with planning tools
Benefits
- Full-time U.S. employees receive medical, dental, and vision; employer-paid life and disability insurance; flexible time off with holidays; paid parental leave; educational assistance; commuter benefits; company subsidized lunch.
- International benefits tailored to region; USD salary ranges apply to U.S.-based positions; international salaries set to local market.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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