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
