Data Manager

Mochi Health•San Francisco, CA

5d•$150,000 - $220,000•Onsite

About The Position

Mochi Health is seeking a high-judgment, execution-oriented Data Manager to lead the Data team on a day-to-day basis. This role involves driving execution across analytics, data engineering, and operational data tasks, ensuring team goals align with company priorities, tracking key performance indicators (KPIs), and focusing the team on high-leverage activities. The position requires technical depth, including the ability to review SQL and Python code, assess technical approaches, and make informed tradeoffs. Familiarity with modern AI tools for enhancing analysis, project execution, documentation, and code review is also expected.

Requirements

4+ years of experience in data or analytics roles, with experience leading projects, driving execution, and reviewing technical work.
Experience managing technical or analytics work, either as a people manager or as a high-ownership tech lead with strong cross-functional influence
Ability to read and review code, especially SQL and Python, and give useful feedback on technical quality, scope, and reliability
Sound judgment around data privacy, security, and compliance, especially in environments with sensitive user or patient data
Highly organized, operationally strong, and comfortable using AI tools to move faster, improve team leverage, and raise the bar across analysis, execution, documentation, and code review

Nice To Haves

Experience managing analysts, analytics engineers, or data engineers
Experience building KPI frameworks, operating cadences, or leadership reporting
Experience in healthcare, fintech, or another operationally complex, high-accountability environment

Responsibilities

Manage the day-to-day execution of the Data team, ensuring projects are well scoped, prioritized, and delivered on time
Set clear goals for team members, track progress against those goals, and maintain visibility into key team and business KPIs
Partner with stakeholders across product, engineering, operations, growth, finance, and leadership to translate business needs into high-quality data work
Review technical work including SQL, Python, dashboards, data models, and design docs to maintain quality, reliability, and appropriate handling of sensitive data
Support hiring, onboarding, and development of team members
Help ensure data practices meet privacy, security, and compliance requirements, including access controls, safe data usage, and audit-ready processes