Head of Data, Insights, and Analytics, Ambience Healthcare

• Demonstrated analytical leadership and experience raising analytical rigor within a team or organization
• Strong ability to translate ambiguous business questions into structured analytical problems with clear assumptions and success criteria
• Clear and concise communication skills, especially when presenting complex technical insights to executives
• Strong technical judgment across data modeling, metrics logic, and analytical architecture
• Ability to reason from first principles and separate signal from noise in complex data environments
• Experience establishing structured operational workflows such as sprints, SLAs, and backlog management

Desirable

• Ambience is looking for a Head of Data, Analytics, and Insights to build and lead the systems, metrics, and analytical foundation that powers business and product decisions across the company
• In this role, you will shape how Ambience measures performance, defines success, and communicates truth with clarity and consistency
• You will lead a high-performing team of analysts, build the company’s semantic and reporting layers, and ensure leaders across Product, Operations, Engineering, Finance, and Customer teams have accurate, actionable insight when they need it
• This is a highly cross-functional leadership role for someone who enjoys turning ambiguous questions into structured analysis, creating operational rigor, and raising the bar for analytical excellence across an entire organization
• Establish Ambience’s source of truth by owning core business metric definitions, dashboarding, and the semantic layer that enables transparent and consistent decision-making
• Lead and develop a team of Data Analysts, providing clarity, coaching, and strong analytical standards
• Build an intake and prioritization system for analytics work so requests are well-scoped, strategically aligned, and converted into actionable analytical problems
• Partner with Engineering, Product, Value Attainment, and Care Transformation to define data requirements, ensure proper instrumentation, and deliver reporting that supports measurable product and customer outcomes
• Implement structured operational workflows including sprints, SLAs, backlog management, and predictable reporting cadences
• Deliver dashboards and insights that power monthly business reviews, financial operations reporting, product measurement, and customer value reporting
• A clear team charter, role definitions, and coaching structure are in place for the Data Analytics team
• A consistent intake system and sprint cadence is functioning, with visible prioritization and predictable delivery
• A 180-day analytics roadmap is aligned across key leaders, capturing foundational investments and early wins
• Initial dashboards and reporting models are launched to support business workflows such as performance reviews, core product metrics, and customer value reporting
• Early data quality and reliability processes are implemented, improving trust in reporting across the organization