Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn more at mavenclinic.
com An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: - TIME 100 Most Influential Companies (2023, 2026) - Fortune Change the World (2024) - CNBC Disruptor 50 List (2022, 2023, 2024) - Fortune Best Workplaces for Millennials (2024) - Fortune Best Workplaces in Health Care (2024) - Fast Company Most Innovative Companies (2020, 2023) - Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the role This isn't a vertical-specific role. Maven is looking for an experienced decision scientist who works across the seams—connecting clinical product, member experience, and our AI and healthcare initiatives into one coherent story. You'll tie the narrative together: building cross-functional reporting that gives every team a shared view of what's working and why, and partnering on the data architecture that makes the whole team faster. Instead of owning one surface, you'll work the connective tissue between them—surfacing insights that only appear when you look across the entire experience. You're equally at home in the details of measurement and in the big-picture framing that turns data into direction. You know the highest-leverage work often isn't answering one question well—it's building the systems and shared language that let everyone answer their own questions better.
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