What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we're striving to do even better. Come and join us!

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We're a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We're confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.

About the Role:

As a Senior Manager, Customer Value & Analytics, you will play a pivotal role in shaping how Suki demonstrates impact for our healthcare customers. You will harness data to quantify and articulate the value of Suki's ambient listening solutions, guiding both our strategy and the stories we tell. You will serve as a key analytic partner, driving effective cross-functional collaboration across Product, Marketing, Sales, and Clinical teams to align insights with strategic initiatives and market messaging. In this role, you will lead rigorous analyses, craft compelling narratives, and present insights directly to enterprise customers. You will build the frameworks, processes, and tooling needed to scale how we measure and communicate value. Ultimately, you will calculate and showcase ROI across efficiency, revenue, and experience metrics - translating complex data into clear, resonant insights that elevate clinician experience and drive customer adoption, satisfaction, and growth.

Key Responsibilities

Define and calculate the key value metrics for ambient listening solutions, including clinical documentation time reduction, encounter throughput, coding accuracy improvement, clinician after-hours time reduction, and overall workflow efficiency, to quantify ROI for providers and health systems.
Partner with the Clinical team to build and own the Revenue and RCM ROI analytical framework - including E&M code distribution shifts, coding accuracy improvements, structured data extraction quality, and downstream revenue impact - translating clinical and coding outcomes into financial value stories for customers.
Hire, manage, and grow a high-performing team of data analysts, providing coaching, establishing analytical standards, developing career paths, and scaling team capabilities as our customer value function expands.
Build and maintain the data infrastructure needed to measure value at scale, including pulling, normalizing, and validating data from multiple EMRs, operational systems, and Suki's platform.
Analyze adoption and utilization patterns to determine clinical impact, identify gaps, and surface actionable insights for customers and internal teams.
Develop automated dashboards, reproducible reports, and executive-ready presentations that clearly communicate value and performance trends for executive business reviews.
Maintain a strong understanding of healthcare benchmarks, CMS guidelines, and clinical workflows to contextualize findings and ensure analytical accuracy.
Partner with Marketing to translate quantitative results into compelling case studies and evidence-backed value stories.
Drive effective cross-functional collaboration with Product, Marketing, Sales, and Clinical teams to ensure data requirements are met, analytical insights inform roadmaps and commercial strategy, and value narratives are consistent across the organization.
Establish robust analytical processes and quality-control methodologies to ensure accuracy, repeatability, and trust in all customer value outputs, and oversee data governance and quality assurance practices for clinical data ingested from EMRs and Suki's platform.
Strategic input and knowledge contributions to product features such as diagnosis code suggestions and structured data extraction for quality reporting

Requirements:*

Bachelor's degree in a quantitative field; advanced degree (Master's or equivalent) preferred.
8+ years of experience in analytics, data science, healthcare consulting, or value/ROI roles within healthcare and preferably in healthcare AI/SaaS.
Hands-on experience with data pipelines or lightweight data engineering, including working with structured and unstructured clinical data.
Strong understanding of E&M coding, CMS guidelines, healthcare benchmarks, and provider operations/clinical documentation workflows, with working familiarity of clinical terminologies (ICD-10, CPT) and how they drive revenue cycle and coding outcomes.
Advanced proficiency with analytics tools and programming languages (e.g., SQL, Python, R, Tableau, BigQuery).
Excellent communication skills with the ability to distill complex data into clear, compelling insights for diverse audiences.
Demonstrated leadership ability, including mentoring or managing analysts.
Strong critical thinking, prioritization, and fast, effective communication.
Experience working in healthcare technology, specifically with SaaS and EMR systems (e.g., Epic, Cerner, Athena, Meditech, Allscripts)
Highly organized with strong project management skills; able to influence through persuasion and cross-functional collaboration.
Entrepreneurial mindset, comfortable with ambiguity, and motivated to drive continuous improvement in a fast-paced environment.
Clinical background (e.g., RN, PA, MD) paired with strong analytical skills is a plus but not required.

Tell me more about Suki

On a roll: Named by Fast Company as one of the most innovative companies, named Google's Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI.
Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
Great investors: We're backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
Impact: You'll make an impact from day one. You'll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

In compliance with the State of California Pay Transparency Law, the base salary range for this role is between $160,000 - $200,000 in CA. This range is not inclusive of any discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Senior Manager, Customer Value and Analytics