Partner with technical and business leaders to design key metrics, dashboards, and AI-enabled data products that are widely-adopted and influence cross-functional strategic direction and multi-year roadmaps
Establish hypothesis-driven decision-making as the default operating mode across partner teams through statistically rigorous experimentation
Tackle undefined, open-ended problems by defining both the 'what' and 'how' and conducting rigorous analyses that drive meaningful product and business impact
Transform complex findings into compelling narratives that provide strategic clarity and influence broader organizational direction
Collaborate closely with Data Engineers to influence the design, development, and maintenance of dimensional data models, ensuring data is complete, accurate, and reliably delivered
Champion world-class data governance practices, continuously raising the bar for data & code quality across technical teams
Partner with stakeholders to align roadmaps with business priorities, anticipating emerging needs before they are formally requested and driving positive outcomes in high-stakes contexts
Operate as a force multiplier whose influence fosters growth across partner teams, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amidst ambiguity
Requirements
Bachelor’s degree in a quantitative field (e.g. mathematics, statistics)
Master’s or Ph.D. degree is preferred
12+ years of hands-on experience influencing product and business decision-making through experimentation and advanced analytics
Healthcare and/or pharmacy experience is preferred
Advanced technical proficiency, including deep experience:
Leveraging SQL & dbt to query, transform, and validate complex data sets
Leveraging scripting languages (e.g. Python) and statistical/mathematical software (e.g. R) for advanced statistical modeling
Collaborating with Data & Analytics Engineers to architect robust data models and institute world-class data quality guardrails
Establishing and scaling causal learning frameworks, including designing and executing experiments with statistically significant findings
Designing, presenting, and influencing people with data visualizations that deliver impactful and actionable insights
A self-starter mentality, proactively identifying novel ways to drive impact, devising creative solutions to complex challenges, and independently delivering on commitments
Excellent communication and storytelling skills, seamlessly adapting between business and technical audiences
Proven leadership prowess, including the ability to drive clarity by articulating a compelling vision and bring people along with you
Tech Stack
Python
SQL
Benefits
Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
Flexible Spending Benefits
401(k) Retirement Savings Program
Short-term and long-term disability
Discretionary Paid Time Off
Paid Company Holidays
Wellness Benefits
Commuter Benefits
Paid Parental Leave benefits
Employee Assistance Program (EAP)
Well-stocked kitchen in office locations
Professional development and training opportunities