Senior Data Science Manager

Who you are

• 8+ years of experience in data science or analytics roles
• 3+ years of experience managing and developing teams
• Strong product mindset and demonstrated success working in Product
• Proven success partnering cross-functionally with Product, Engineering, Data, Design, Operations, Clinical and Customer Success teams
• Proficiency in forecasting, experimentation, causal inference
• Experience with data modeling, ideally using dbt
• Hands-on technical fluency in SQL and Python or R
• Experience adopting and championing AI-assisted tools to accelerate and automate data workflows
• Strong communication and stakeholder management skills

What the job involves

• As Senior Data Science Manager for Provider Experience, you will define and lead our data science strategy for our providers experience at Headway
• You will report into Headway's Provider Experience Group, a mission critical pillar to becoming a practice partner for our providers all on a foundation of trust
• You will partner closely with Product, Engineering, Operations, Design, Clinical and Customer Success leadership to continuously improve our relationships with providers
• You will define the right questions, uncover opportunities, and work cross-functionally to turn insights into measurable improvements
• Lead and grow a high-performing team of Data Scientists, fostering a culture of technical excellence and strategic thinking
• Develop quarterly roadmaps with cross-functional partners, align Data Science resources, and oversee execution of timely and high-quality work
• Drive insights and decisions through strategic analysis, reporting, experimentation and predictive modeling
• Obsess over provider experience metrics surfacing gaps and ways to continuously improve them
• Deep dive into areas we don’t fully understand to segment our data and understand where there’s opportunities to improve provider experiences
• Stay close to the data by tackling strategic projects yourself, identifying underlying trends and areas of opportunity
• Translate complex technical findings into clear, actionable recommendations for executive stakeholders