Senior Manager, Data Science - Finance & Accounting

As Senior Data Science Manager for Finance and Accounting, you will define and lead the data insights strategy for Headway's financial ecosystem. The team's mission is to provide a holistic understanding of our financial health and our revenue infrastructure. 

You will report into Headway's Platform Group, a mission critical pillar that ensures the systems behind our insurance platform reliably power patient, provider, and payer experiences. Accurate and complete financial visibility is a core part of our operations and essential to Headway's growth. 

You will partner closely with both the Finance department (including Accounting, Strategic Finance, and FP&A teams) and Engineers and Product Managers in our Payments and Billing Infra R&D pods to improve our revenue infrastructure and financial reporting. You will define the right questions, uncover opportunities, and work cross-functionally to turn insights into measurable improvements in how we track and report financial performance. In doing so, your team will provide a timely and trusted view into company performance that shapes our customer experience and supports Headway's path to public company readiness.

• →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, and predictive modeling. 
• →Build a metrics framework that connects our revenue infrastructure to financial outcomes, surfacing gaps in our data and reporting. 
• →Deep dive into areas we don’t fully understand to segment our data and understand where there’s opportunities to improve efficiency and mitigate loss. 
• →Partner cross-functionally to ensure our revenue systems provide the auditability and data traceability we need to be GAAP compliant and audit-ready. 
• →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. 

• 8+ years of experience in data science or analytics roles.
• 3+ years of experience managing and developing teams.
• Working knowledge of core finance and accounting concepts such as how transaction-level data powers financial reporting (P&L, balance sheet, and cash flow statement). 
• Experience working with healthcare Revenue Cycle Management (RCM) is strongly preferred. 
• Proven success partnering cross-functionally with Finance, Accounting, Product, Engineering, and Operations teams, and collaborating internally across Data Engineering and Data Science.
• Proficiency in forecasting and predictive modeling techniques. 
• 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.

• Help us uncover operational efficiencies that allow us to reinvest in building a better product and more effectively serve our customers. 
• Influence the design and evolution of our financial systems, including the revenue subledger and RCM, to ensure full financial visibility and GAAP compliance.
• Partner closely with senior and executive leadership and directly influence company strategy and growth.