Senior Manager, Data Science - Provider Growth Product

Description

Around 1 in 4 people in the US have a treatable mental health condition, yet most therapists do not take insurance, which puts therapy out of reach for many. The company builds software that helps therapists run their practices and find patients, and it started by automating the insurance admin work of credentialing, claims and payment reconciliation.

The platform is used by over 90,000 providers in all 50 states, who serve more than 2.6 million patients. The company is building tools for running a full practice, a new way for people to find a therapist, and the platform foundations to support them, with much of it built using AI.

The company is at Series D with over $325M in funding.

This is a senior management role leading data science for Provider Growth Product. You will set the data science strategy for growing the provider network and work with Product, Engineering, Operations, Design, Clinical and Customer Success leaders on product-led growth. You will design the experimentation and data science work that turns findings into measurable gains. You will also help grow provider engagement with the product, shape the product experience and its link to growth levers, and work directly with senior and executive leaders on company strategy.

Responsibilities

• Lead the measurement of marketing and lifetime value (LTV).
• Lead experimentation within the product.
• Build and grow a team of Data Scientists, developing their technical depth and strategic thinking.
• Set quarterly roadmaps with cross-functional partners, allocate Data Science capacity, and make sure work is delivered on time and at high quality.
• Drive decisions through strategic analysis, reporting, experiments and predictive models.
• Track provider growth metrics closely, finding gaps and opportunities to keep improving them.
• Dig into areas the team does not yet understand, segmenting data to find where provider experience can improve.
• Stay hands-on by taking on strategic projects yourself and spotting trends and opportunities in the data.
• Turn complex technical findings into clear recommendations that executives can act on.

Requirements

• 8+ years of experience in data science or analytics.
• 3+ years of experience managing and developing teams.
• A strong product mindset and a track record of working within Product.
• Proven experience working across Product, Engineering, Data, Design, Operations, Clinical and Customer Success teams.
• Skill in forecasting, experimentation and causal inference.
• Hands-on fluency in SQL and Python or R.
• Strong communication and stakeholder management skills.
• Experience with data modeling, ideally using dbt.
• Experience adopting and promoting AI-assisted tools to speed up and automate data work.
• Preferred: experience in marketing and product-led growth initiatives.

Conditions

Expected base pay is $212,000 to $265,000, depending on factors such as qualifications, experience and geographic location.

Remote or location details are not specified in the posting.

Benefits

• Medical, dental and vision coverage, plus HSA and FSA accounts.
• 401(k) with a match for 2027.
• Carrot Fertility reimbursement.
• Paid parental, medical and caregiver leave.
• May be eligible for an equity grant, depending on the position and level.