Director of Analytics

About the Role:

K Health is looking for a Director of Analytics to lead our Strategic Insights Analysts and set the standard for AI-first decision-making across the company. This role is ideal for someone who pairs rigorous analytical judgment with a proven ability to build teams, systems, and operating models that scale insight generation far beyond any single analyst.

You will manage and mentor Strategic Insights Analysts, own the analytics roadmap and prioritization, and partner with Product, Clinical Operations, Marketing, and Finance leadership to shape K Health's strategic direction. You will establish quality standards for data and metrics, define KPI ownership, and create a self-serve analytics strategy that gives stakeholders confidence in the answers they find.

This role requires someone who can think like a top-tier business strategist, set standards like a data science leader, and build the team's operating model like an AI systems architect. You will define how SQL, Python, Looker, and AI agents combine to solve high-impact business problems at scale, while turning complex analyses into clear, actionable recommendations for executives.

This is a high-impact leadership role for someone who thrives in a fast-paced, highly collaborative, and AI-enhanced environment. You will multiply your impact by raising the capability of everyone around you and by building durable systems that make reliable insight generation repeatable.

This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.

What you will do:

Own the analytics roadmap, translating strategy into prioritized analyses, models, and self-serve products across Product, Clinical Operations, Marketing, and Finance

Drive AI-first operations by deploying agents, orchestration, LLM pipelines, and automation that increase analytical output

Lead self-serve analytics and Looker strategy, setting standards, maintaining semantic-layer quality and designing effective dashboards and visualizations

Define key performance metrics, automate monitoring, anomaly detection, and insight generation, and deliver high-signal leadership insights

Elevate team output through code review, teaching feedback, and reusable skills, playbooks, and establishing a high standard for output.

Translate complex analyses into clear actionable insights that drive decision making cross-functionally

Coordinate dependencies with data engineering, and evolving data infrastructure in parallel with evolving business needs

What we are looking for:

Analytics leadership : Have 7+ years in analytics, data science, strategy, consulting, or business operations; 2+ years managing high-performing analysts or analytics engineers; drive team-level AI productivity gains.

AI-first leadership : Design and operationalize AI agents, multi-agent orchestration, and LLM pipelines that measurably increase team output; set automation strategy, not just tool usage.

Analytical and metrics judgment : Bring expert SQL, data-modeling, KPI, and business-performance judgment; set query, validation, and metric standards; guide debugging and hypothesis testing, regressions, forecasting, and experimentation.

Systems thinking : Design scalable operating models, extracting one-off patterns into reusable documentation, skills, and standards.

Ownership and execution : Resolve ambiguous multi-system failures, make sound scope, sequencing, speed-fidelity, and tooling tradeoffs, and keep the team unblocked.

Teaching orientation : Raise capability through structured feedback, mentorship, and codified frameworks and documentation others use daily.

Communication through specification : Turn ambiguous questions into precise plans, tickets, and specifications for self-sufficient, asynchronous team execution.

Stakeholder management : Align Product, Clinical, Operations, Marketing, and Finance leaders on priorities, metrics, and tradeoffs; present to and challenge executives.

Learning agility : Rapidly master concepts, tools, AI technologies, and business models; lead the team's adoption curve.

Bonus:

Bring healthcare, health-tech, or regulated analytics experience with EMR/FHIR data, clinical workflows, and PHI-aware pipelines.

Use Looker/LookML, Tableau, or Mode to review LookML MRs and set explore-design standards.

Build or deploy production multi-agent AI systems, LLM batch pipelines (e.g., Vertex AI/Gemini), or prompt-engineering frameworks.

Work with Google Cloud's BigQuery, Vertex AI, and Workspace APIs plus git, code review, and PDT/dbt-style modeling.

Design analytics-team interview loops, hiring rubrics, and onboarding programs.

Bring prior management consulting, strategy, or business operations experience.

Benefits & Perks: #LI-Hybrid

Hybrid work schedule with weekly lunches and stocked fridges

Monthly social committees for company events

18 vacation days, 9 company holidays, 5 sick days, and 2 personal days

Stock options for every full-time employee

Paid parental leave

401k benefit

Commuter Benefits

Competitive health, dental, and vision insurance options

Compensation:

$200,000 — $230,000 USD

Who We Are:

Behind every leading health system is K Health’s AI-powered virtual care engine.

Esteemed health systems like Mayo Clinic, Cedars-Sinai, Mass General Brigham, Hackensack Meridian Health, and Hartford Healthcare partner with K Health to build and run modern primary virtual care clinics on their behalf.

Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability.

We’re founded in 2016, headquartered in New York City, and backed by nearly $400 million from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners.

We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise.

We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users.

We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be