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Senior Director Analytics, Performance and Forecasting

moonlaketx
Companymoonlaketx
CategoryData & Analytics
LocationUS
RemoteOn-site (inferred)
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted18 Jun 2026
Last verified3 Aug 2026
SourceEmployer ATS (personio)
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Description
The Senior Director, Analytics, Performance and Forecasting will lead the end-to-end setup of the target commercial data environment that will enable data-driven decision-making at all levels of the organization. The role will be accountable across data analytics (incl. HCP segmentation leveraging claims data, payer formulary data, specialty pharmacy/ hub patient data), field systems deployment & AI-use cases, performance tracking & measurement (incl. personal & non-personal channels) and financial/ sales forecasting (incl. NPV modelling). Furthermore, the role will work closely with other functional areas (i.e., IT, Finance, Medical, TechOps) to ensure alignment across key system interconnections (e.g., HCP aggregate spend reporting, MedInfo hub, inventory planning). Additionally, the role will contribute towards the overarching GTM strategy in the US and launch plans in additional geographies, supporting portfolio and BD decisions (incl. opportunity sizing). Major Accountabilities Commercial data ecosystem: Execute data architecture and oversee the build-out of the commercial data environment, including data warehouse, data aggregator, MDM, consent manage-ment, BI platform and integrations across Veeva CRM, Veeva PromoMats, Veeva Align, and other systems/ databases (e.g., Link Key People, SP data, SD data) – ensuring data quality, governance, and operational readiness ahead of launch.  Analytics & competitive intelligence:  Oversee analyses leveraging several different datasets (e.g., claims, formulary data, SP/ hub patient data, EHR) to generate competitive intelligence, market insights, and actionable visualizations; ensure analytics outputs are coordinated with Access, Market Research, Medical, and other functional teams. Field analytics & AI roadmap:  Oversee the strategic roadmap for field-facing analytics deliverables — including key dashboards and AI-enabled use cases (e.g., post-call debrief agent, KAM as-sistant, NBA engine) – and drive the prioritization, development, and refinement of selected use cases in partnership with technology vendors. Field analytics responsiveness:  Ensure timely, high-quality response to ad hoc analytics requests from the field, establishing intake processes and SLAs that balance rigor with speed.  HCP segmentation & targeting:  Oversee the refinement and ongoing calibration of HCP segmentation and tiering, incorporating claims data, engagement signals, and field input to optimize targeting accuracy and impact over time; collaborate with marketing & agency of record to ensure alignment on content build-out and channel engagement strategy.  Territory design:  Manage the design and ongoing optimization of sales territory alignments, including geographic sizing, workload balancing, and account allocation; coordinate re-alignment cycles with field leadership & HR.  HCP/ patient engagement measurement & launch tracking: Direct the measurement, reporting & interrogation of engagement effectiveness across personal and non-personal channels, including field-driven activities and digital engagements (e.g., programmatic, endemic publishers, …); manage the design and build-out of launch performance dashboards and monitor commercial performance across territories.  Forecasting model ownership: Outline core forecasting model – including model architecture, key assumptions, and scenario frameworks – and oversee the definition and validation of bottom-up and top-down sales assumptions in coordination with field leadership and Finance.  GTM strategy support:  Provide the analytical backbone for go-to-market planning — including market sizing, opportunity mapping, launch sequencing scenarios, and field force sizing / deployment modelling  Team build-out & vendor leadership: Shape the organization structure and hiring across Analytics, Field Analytics & AI, Performance, and Forecasting; lead selection, onboarding, and ongoing man-agement of critical ana