Head of Data

About This Role

Leading the data function end-to-end, this role involves setting technical direction, developing the team, governing company metrics, and ensuring all leaders can make data-driven decisions. This position is for an experienced data leader who can transform the existing data foundation into a trusted operating system for the entire company.

Responsibilities

• Own the data stack end to end
• Set the technical direction for the data function
• Develop the existing data team and build the broader function
• Govern company metrics
• Ensure every AIOS leader can make decisions using trusted data
• Ensure pipelines, models, and dashboards are reliable
• Ensure the dbt layer is clean, documented, and designed to scale
• Define precise, canonical definitions for every core company metric
• Enable leaders to confidently use Hex AI to explore trusted data and answer important business questions
• Establish clear contracts between Engineering and Data for how product data enters the warehouse
• Build the evidence layer required to speak credibly with regulators about clinical and AI systems
• Deeply understand every important metric across growth, activation, retention, revenue, product, clinical operations, CX, and Ops
• Challenge functional leads when a KPI is misleading or poorly defined, and work with them to build better measures
• Manage the existing Analytics Engineering Lead
• Hire an additional Data Engineer and continue building the team as the company scales
• Inspect complex dbt models, challenge marts-layer design, debug incorrect numbers, and assist hands-on when needed
• Define how the data platform should evolve as AIOS grows
• Make important architectural decisions and work with the team to execute them
• Establish clear standards for dbt staging, intermediate, and marts models
• Define processes for proposing, designing, reviewing, testing, documenting, deploying, and deprecating new models
• Own the definitions behind the metrics that run AIOS across various functions
• Eliminate conflicting definitions and turn core metrics into trusted company infrastructure
• Make Hex AI the best possible interface for understanding the business
• Work with the team to keep the warehouse and pipelines fast, reliable, and cost-efficient
• Set expectations for performance, freshness, monitoring, incident response, and cost
• Establish how AIOS designs, instruments, and evaluates experiments
• Ensure experimental results are statistically sound and prevent drawing confident conclusions from weak evidence
• Identify when specialist Data Science support is needed
• Partner closely with Engineering on source schemas, product events, breaking changes, data contracts, and backfills
• Become a key partner to every functional lead, understanding their domain and helping them find measurements that drive better decisions
• Lead the existing data team and grow the function based on company needs
• Design the data foundations required to demonstrate the quality, safety, and performance of clinical and AI systems
• Own relationships with Hex and other important data vendors, leading escalations and evaluating tools
• Move important business logic out of ad hoc dashboards into governed models
• Turn repeating problem solutions into reusable scaffolding

Requirements

• 5+ years as a hands-on data IC
• 3+ years leading teams, including directly managing at least a couple of people
• Most of career spent close to the metal
• Deep fluency in SQL and dbt
• Ability to read complex transformation logic, identify grain and join problems, review a marts-layer design, and quickly work out why two reports disagree
• Experience designing and operating a modern data platform spanning ingestion, a cloud warehouse, transformation, reporting, and monitoring
• Understanding of how each data layer should fit together
• Understanding of how production data systems behave beyond the modeling layer
• Ability to reason about orchestration, incremental processing, dependencies, backfills, failure recovery, freshness, and data-quality controls
• Knowledge of how to design models that remain clean and understandable as the business changes
• Care about contracts, tests, lineage, ownership, documentation, and intuitive interfaces
• Ability to turn an ambiguous business goal into a precise metric
• Deep understanding of funnels, cohorts, activation, retention, churn, revenue, and growth
• Heavy use of AI in personal work and strong instincts for making AI-assisted analysis more reliable, contextual, and useful
• Judgment to decide which logic belongs in dbt, which in Hex, which requests should become canonical models, and which should not be built
• Ability to set a crisp direction and quality bar while giving strong people room to execute
• Knowledge of how to develop an existing team while building the broader function
• Willingness to inspect the actual work and not hide behind the team
• Ability to challenge senior leaders on misleading or poorly defined KPIs and work with them to build better measures
• Experience establishing monitoring, data-quality checks, ownership, and incident processes for business-critical data
• Ownership for reaching outcomes when models are wrong, dashboards are stale, or vendors are failing
• Experience helping a data function keep pace with a company experiencing extreme growth
• Enjoyment of the speed of a high-growth startup
• Experience operating Redshift or a similar cloud data warehouse at meaningful scale
• Experience using Hex or another modern collaborative analytics platform
• Understanding of how to enable self-service without creating hundreds of competing truths
• Deep experience with acquisition, activation, retention, churn, revenue, cohorts, and unit economics in a consumer or subscription business
• Experience building data systems supporting multiple brands, countries, and/or products without creating separate data universes

Benefits

• Paid time-off with a yearly minimum (≥2wks + local national holidays)
• Comprehensive medical insurance (if appropriate)
• Budget for books, courses, coaching
• Budget for gym, health apps
• Free biweekly health coaching
• Free biweekly work coaching
• WFH gear provided as needed, including Macbook

Important Details

• Schedule: full-time, work async in the timezone of choice, around until midday Pacific Time for calls as needed
• Reporting to: VP of Engineering
• Works closely with: Pedro Viana (Analytics Engineering Lead), Richie Cartwright (CEO), Functional leads across Growth, Product, Clinical, CX, Ops, and Finance
• Stack DRI for: ingestion, Redshift, dbt, Hex, product-event tracking, integrations, data quality, monitoring, and access

Application Process

• Apply on Ashby

About the Company

AIOS has grown to more than $350M in annualized revenue and over 150,000 active patients. The company is experiencing extreme growth, moving from $350M toward $1B in annual revenue.