About The Position

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).

Requirements

  • Bachelor’s degree required
  • 5-10 years of relevant biotech / pharmaceutical experience (or equivalent) across commercial analytics, commercial operations, performance management, forecasting and/or related functions
  • Deep expertise in structuring and managing commercial data ecosystems, including key systems set-up (incl. warehouse, aggregator) and database sourcing (incl. claims data, patient-level data, and other third-party sources)
  • In-depth understanding of implementation roadmap to deploy AI and advanced analytics use cases in a commercial pharma / biotech context
  • Experience building bottom-up and top-down forecasting models for the US market in a specialty/ biologics disease setting
  • Excellent communication, financial acumen, and executive presence, with the ability to translate complex trade-offs into clear recommendations for leadership.
  • Track record of effective cross-functional partnership

Nice To Haves

  • Advanced degree (MSc, MBA, PhD, PharmD, or MD) strongly preferred

Responsibilities

  • Execute data architecture and oversee the build-out of the commercial data environment, including data warehouse, data aggregator, MDM, consent management, 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.
  • 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.
  • Oversee the strategic roadmap for field-facing analytics deliverables — including key dashboards and AI-enabled use cases (e.g., post-call debrief agent, KAM assistant, NBA engine) – and drive the prioritization, development, and refinement of selected use cases in partnership with technology vendors.
  • Ensure timely, high-quality response to ad hoc analytics requests from the field, establishing intake processes and SLAs that balance rigor with speed.
  • 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.
  • 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.
  • 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.
  • 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.
  • Provide the analytical backbone for go-to-market planning — including market sizing, opportunity mapping, launch sequencing scenarios, and field force sizing / deployment modelling.
  • Shape the organization structure and hiring across Analytics, Field Analytics & AI, Performance, and Forecasting; lead selection, onboarding, and ongoing management of critical analytics and technology vendors and partners.
  • Partner with senior leadership, IT, Finance, TechOps, Medical, and other org. areas to ensure analytics outputs, forecasts, and performance insights are integrated into planning and decision-making workflows across the organization.
  • Execute the analytics infrastructure, tooling, and processes with global scalability in mind; support ex-US commercial planning and analytics needs (incl. opportunity sizing) as the organization expands into additional geographies.

Benefits

  • An opportunity to learn and grow alongside experienced professionals in a supportive and innovative biotech environment.
  • Contribute to ground-breaking projects that have the potential to transform global healthcare.
  • Enjoy a healthy work-life balance while making meaningful contributions to our team.
  • A clear path for career progression, with the chance to take on more responsibilities as you develop your skills.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service