Senior Data Engineer
•Abacusinsights· 4h
Data ScienceFull-timeAsia
4h ago
Ambiencehealthcare·about 2 months ago
About Us:
Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience’s platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors.
Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.
Summary
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.
What you will accomplish
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.
Early success indicators (first 3 to 6 months)
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.
What we look for (must-have qualifications)
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.
Nice-to-have qualifications
Experience building measurement frameworks in highly cross-functional technical environments.
Familiarity with healthcare, health system data, or value-based care analytics.
Hands-on experience with modern data stacks such as Snowflake, dbt, and BI tools.
Prior experience as a player-coach leading a small analytics team.
Experience defining or managing semantic layers or metric dictionaries.
Pay Transparency
The base compensation for this role is approximately $238,000 to $270,000 per year, excluding equity or bonus targets. The range is intentionally broad to allow candidates flexibility in choosing the cash and equity mix that fits their needs. We place strong emphasis on meaningful equity grants so that contributors share directly in the value they help create.
If your expectations fall outside of this range, we still encourage you to apply. We tailor compensation for each candidate based on the factors most relevant to their situation.
Being at Ambience:
An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients
Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
Work alongside a world-class, diverse team that is deeply mission aligned
Ownership over your success and the ability to significantly impact the growth of our company
Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan
Ambience is committed to supporting every candidate’s ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at [email protected]. We’ll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates.