Senior Manager, Product Analytics

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive.

But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.

Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around.

In time, this will drive quality up and prices down.

We’re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

Your Impact on our Mission:

As a Senior Manager, Product Analytics, you’ll lead a high-performing analytics team that partners with Product, Engineering, and other cross-functional leaders to power Zocdoc’s decision-making. You will oversee analytics for large or high-complexity product areas, ensuring your team delivers strategic insights, drives operational excellence, and advances our analytical capabilities. You’ll own medium- and long-term planning for your team, develop top talent, and be a trusted thought partner to senior leadership.

You’ll Enjoy This Role If You Are…

• A strategic analytics leader who thrives on solving complex business challenges through data
• Passionate about building and developing high-performing teams
• Adept at influencing senior stakeholders with compelling, data-driven narratives
• Excited to set a vision for analytics in your area and translate it into actionable roadmaps
• Skilled at creating scalable processes that improve efficiency, quality, and impact
• Experienced in designing and scaling analytics solutions that drive insights and growth

Your Day-to-Day Is…

• Leading and developing a team of analysts to deliver high impact insights by providing strategic direction and hands-on support.
• Providing analytical leadership, ensuring insights influence product roadmaps and long-term strategy.
• Designing high-impact analytics solutions and actively contributing to projects that uncover actionable insights.
• Influencing decision makingin cross-functional teams using insights generated through quantitative and qualitative data.
• Owning team roadmaps, defining success criteria and aligning initiatives and priorities with stakeholders.
• Establishing and refining processes to continuously improve analytical workflows, quality control, and stakeholder alignment.
• Mentoring and coaching direct reports on technical, stakeholder, and career skills; giving feedback that drives growth.
• Driving alignment between cross-functional teams on objectives, key metrics, analytical techniques and data governance.
• Partnering with Product, Data, Engineering, and Finance to identify opportunities, shape strategy, and deliver insights.

You’ll be successful in this role if you have…

• 4+ years experience leading and developing high-performing analytics teams, including individual contributors and/or managers
• 6+ years in analytics, data science, or a related field with a track record of delivering insights and influencing product decisions
• Ability to translate complex information into clear, actionable insights for senior leadership and non-technical audiences
• Strong expertise in SQL and advanced data visualization (e.g., Looker, Tableau)
• Deep knowledge of experimentation and causal inference methods, including A/B testing design, execution, and analysis, along with broad expertise in advanced analytical methodologies such as statistical modeling, forecasting, and segmentation
• Solid experience and understanding of data modeling, data warehousing,…