Director, GI Forecasting

Revolution Medicines•Redwood City, CA

15h•$211,000 - $264,000•Onsite

About The Position

The posting describes an Associate Director, Omnichannel Analytics role at Revolution Medicines, reporting to the Director, US Commercial Analytics. The role owns the measurement strategy and optimization agenda for healthcare-professional engagement across field, email, media, web, and other channels. As the company grows its portfolio, this position will establish the analytical methods that connect customer engagement to commercial outcomes. The role will build KPI frameworks, evaluate trigger and journey effectiveness, and lead experimentation to guide channel, timing, and audience decisions. It will provide recommendations to Brand, Marketing, and Commercial leadership, lead recurring performance reviews, and maintain reusable learnings across launches. The position is based at the company’s headquarters in Redwood City, California, and requires hands-on work in SQL and Python notebook environments and a modern cloud data platform.

Requirements

Bachelor's degree required.
At least 6 years of progressive experience in data analytics and strategic analysis in Pharma/Biotech.
Demonstrated ownership of omnichannel or non-personal promotion measurement, including journey, trigger, and campaign analytics.
Experience designing and interpreting experiments, including test/control, A/B, holdout, and frequency tests, and translating results into channel and investment decisions.
Working knowledge of pharmaceutical commercial data, including claims and prescription data, HCP and account data, CRM and field activity data, and digital engagement data.
Experience partnering with media agencies and publishers to establish measurement plans, data feeds, taxonomy, tagging, and campaign-level reporting requirements.
Extensive secondary analytical skills and the ability to translate data and insights into actionable recommendations for business growth.
Strong problem-solving skills and experience using varied research and analytical vendors and study designs, and building quality vendor partnerships.
Enthusiasm for hands-on technical work, including writing SQL or Python in notebook environments, working directly in a modern cloud data platform, and building reusable, well-documented analytical assets.
Demonstrated use of generative AI tools to accelerate analytical work, such as conversational analytics agents or notebook and code assistants.
Collaborative team-player skills and adaptability to meet the needs of a growing business.
Entrepreneurial mindset, tolerance for ambiguity, and passion for helping cancer patients.

Nice To Haves

Graduate degree with at least 8 years of progressive experience in data analytics and strategic analysis.
Targeted oncology or specialty-therapeutics experience, including support of one or more US product launches.
Experience with media and digital measurement ecosystems, including publisher delivery and cost files, creative metadata, media warehouse feeds, and web analytics.
Experience supporting next-best-action or personalization use cases in an omnichannel context.

Responsibilities

Own and evolve the omnichannel and non-personal promotion measurement roadmap across the portfolio, including measurement frameworks, KPI definitions, and standardized performance readouts.
Define journey progression, channel contribution, reach and frequency, and customer-experience measures, and govern, document, and consistently apply definitions across brands, channels, and dashboards.
Evaluate trigger logic, including eligibility, suppression, lookback windows, signal volume, and downstream field or digital action; recommend journey-design changes based on relevance, timeliness, and measured impact.
Build and run the portfolio experimentation agenda, including holdouts, frequency tests, and audience and content experiments; translate results into channel mix, cadence, and content recommendations.
Provide an integrated view of the HCP journey across field, email, paid media, web, and peer channels, identifying over-, under-, and mis-sequenced engagement.
Advise senior Commercial and Marketing leaders on performance interpretation and optimization opportunities, and lead recurring omnichannel performance and optimization reviews.
Maintain a reusable learning repository so insights from the first launch inform subsequent launches.
Direct agency, publisher, and vendor analytics deliverables against defined scope, metric definitions, taxonomy, data feeds, and quality standards.
Partner effectively with Brand Analytics, Advanced Analytics, Information Systems, and the Omnichannel portfolio and Marketing Teams.
Work hands-on in SQL and Python notebooks to query, prototype, and productionize analyses in a modern cloud data platform environment.
Perform other duties as assigned, including travel as needed.