Senior Director, Commercial Analytics & Decision Intelligence

Zenas BioPharma•Waltham, MA

20h•$212,000 - $265,000

About The Position

Zenas is seeking an accomplished commercial insights and analytics leader to build and use the data and analytics backbone supporting the company’s transition from late-stage development to potential launch and ongoing brand management. The Senior Director will own requirements for commercial data, brand performance reporting, algorithms that identify and prioritize patient opportunities, and measurement of marketing and promotional impact across channels. The role will provide commercial leadership with trusted data, performance visibility, and rigorous quantitative insights into market opportunities and the effectiveness of commercial activities. The successful candidate will combine technical depth with commercial fluency, moving beyond dashboards and static reports to deliver validated models, clear measurement frameworks, and analytics that withstand scrutiny from commercial, finance, and executive stakeholders. This hands-on leader will build or scale commercial data infrastructure, patient- or HCP-level models, and marketing measurement capabilities in a smaller, high-growth company. Zenas is a clinical-stage global biopharmaceutical company developing therapies for autoimmune diseases. The position is eligible for a competitive compensation and benefits package. The stated base salary range is $212,000 to $265,000; actual compensation depends on factors including experience, education, skills, performance, and location. Total rewards also include an annual performance bonus, equity, benefits, and other incentive compensation plans.

Requirements

Bachelor’s degree in a business, science, or engineering discipline.
12 or more years of experience in commercial analytics or decision science.
8 or more years of experience in pharmaceutical or biopharmaceutical commercial analytics roles.
Strong understanding of pharmaceutical industry data sources and their application in analytic workflows.
Hands-on experience with predictive analytics algorithms and models.
Understanding of metrics and analyses used to describe product and market performance, and associated reporting tools such as PowerBI, Tableau, or ThoughtSpot.
Experience modeling and measuring marketing channel impact to drive investment decisions.
Strong cross-functional collaboration skills and ability to contribute to high-performing teams.
Ability to communicate insights generated from analytic processes clearly, verbally and in writing.

Nice To Haves

An advanced degree is preferred.

Responsibilities

Define and own commercial data strategy, collaborating with IT on data architecture, governance, and quality standards and with Sales Operations on master data management.
Ensure a scalable, well-governed commercial data infrastructure is built to support launch analytics and future in-line performance management.
Work with IT to establish data quality controls, validation processes, and documentation for trusted, auditable reporting and analytics.
Partner with IT, Sales Operations, Market Access, and external data vendors to evaluate, contract, and integrate data sources as the portfolio grows.
Ensure privacy and compliance across commercial data assets.
Own the design, development, and maintenance of brand performance reporting, including KPI architecture, dashboard strategy, and standardized marketing analytics reporting.
Provide timely, accurate visibility into product performance, market share, duration, and other core brand metrics to commercial and executive leadership.
Translate performance data into implications and recommended actions for brand and executive stakeholders.
Partner with Sales Operations to establish reporting standards and a single source of truth for commercial, finance, and leadership stakeholders.
Refine reporting tools and dashboards in response to evolving business questions and stakeholder needs.
Design, build, and validate algorithms and models that identify and prioritize patient and prescriber opportunities.
Partner with Sales Operations and Marketing to operationalize opportunity algorithms into territory call suggestions.
Test, validate, and refine models against real-world outcomes as new data becomes available.
Introduce modern analytics and AI-enabled approaches to opportunity identification where appropriate, with attention to transparency, governance, and business relevance.
Design and lead measurement frameworks for marketing and promotional effectiveness across field and non-personal channels.
Build attribution, mix, and response models that quantify marketing investment impact on prescribing behavior and brand performance.
Partner with Marketing to test, measure, and optimize campaigns, engagement, and channel investment using data-driven evidence.
Deliver decision-ready marketing ROI readouts to commercial and executive leadership.
Establish a test-and-learn approach to continually refine the marketing mix as the commercial organization scales.