Head of Data Science & Product Intelligence

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.

Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.

We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.

The Role

As the Head of Data Science & Product Intelligence at Abridge, you lead the definition of the strategy for the function, create a project roadmap in alignment with product initiatives and commercial client needs and execute. You enable and participate in data-driven decision-making, working in close partnership with product, engineering, design, and business/commercial teams. Your role will initially be that of a player-coach, building the function and team while executing on your own projects. By enabling data-driven product development and management and supporting commercial client needs, you contribute to extending Abridge’s leadership in generative AI for healthcare.

What You’ll Do

• Data Strategy Development: Define data science and product intelligence strategy focused on supporting growth of existing products, development of new products, and commercial client needs.

• Data Collection and Analysis: Gather and clean user data from various sources (app usage, website interactions, customer feedback, commercial sources, etc) to prepare for analysis. 

• User Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development It is critical for data to drive increased user engagement and retention.

• A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes. 

• KPI Monitoring and Reporting: Tracking key performance indicators related to product usage, conversion rates, and customer satisfaction, generating regular reports for stakeholders. 

• Data Visualization/Reporting: Creating clear and compelling data visualizations in the form of dashboards and reports for product development and commercial needs.

• Collaboration with Product Teams: Working closely with product managers, designers, and engineers to translate data insights into product roadmap priorities.

• Leadership & Collaboration: Work closely with company leadership, particularly with cross-functional teams, to enable data-driven decision-making.

• Build the Team: Grow of the Data Science & Product Intelligence team, including hiring and mentoring team members, to increase Abridge’s capacity in the function in accordance with the growth of the business and product offering.

What You’ll Bring

• 5+ years in data science, with experience managing data-science teams, ideally including experience in healthcare environments

• PhD or Master’s in Computer Science, Data Science, Statistics, or related field

• AI, Machine Learning experience

• Proven experience leading cross-functional teams and building out complex data efforts in a fast-paced, hypergrowth environment

• Strong communication skills with the ability to work cross-functionally with product, ML, engineering, design, and business/commercial teams

• Familiarity with healthcare data privacy laws (HIPAA) and experience with healthcare coding systems (ICD-10-CM/PCS and CPT)

• Ability to play the role of a player/coach: Manage/lead a small team, grow the team, be the hands-on owner of specific initiatives

• Passion for applying data to delivering healthcare outcomes for clinicians and for patients

Base Salary: $200,000 USD - $280,000+ USD per year + Equity

The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's locat