About the job
We're looking for a Director to lead the Customer Advocacy & Solutions’s Mobility engine that helps make and scale decisions. This leader owns the AI led analytical backbone, the strategic narrative, and the operating cadence that keeps a multi-billion-dollar business moving in the same direction. You're joining at an inflection point. We're driving a transformation in our customer experience while growing at a rapid clip. The foundational KPIs are changing and the very metrics that define 'good' will shift underneath us as we move to an AI-first world at scale. This leader keeps the numbers trustworthy and comparable through that change, so the org can always tell real signals from a moving baseline. We want a builder: someone who is AI-first by instinct, treats analytics, insights & planning as a scaled platform rather than a service desk, and can turn messy operational reality into clear, defensible strategy that executives act on. You'll partner closely with Product, Engineering, Operations, and Finance, and you'll be a trusted thought partner to senior leadership. If you get energy from standing up systems that outlast any single project and you'd rather teach a model to answer a question than answer it manually a thousand times this role is for you. This role is based in San Francisco and co-located with the leadership team. We believe the strategy, analytics, and planning function does its best work in close partnership — high-bandwidth, in the room, building together.
Responsibilities
Lead a multidisciplinary team spanning Analytics, Strategy, Planning, and Program Management, setting a high bar for rigor, speed, and clarity.
Set the data integrity bar and enforce it. Establish data quality standards, lineage, SLAs, and alerting across Mobility's core datasets, so corruption and drift get caught before they hit eligibility, payouts, or decisions not after.
Step-change time-to-root-cause. Build AI-assisted investigation automated anomaly detection, root-cause triage, and self-serve diagnostics that turns multi-day investigations into same-day (or same-hour) answers, and makes "why did this move?" a question the org can answer itself.
Build scaled analytics platforms, not one-off reports. Design the data products, self-serve tooling, and AI-assisted workflows that let the broader org answer its own questions and move faster.
Embed AI into how the team works. Champion an AI-first operating model using LLMs, agentic systems, and automation to compress cycle time on analysis, planning, and reporting, to detect and explain anomalies before they become escalations, and to surface insight that wouldn't scale through human effort alone.
Own the strategic narrative for Mobility: translate data into a point of view, frame the tradeoffs for executives, and drive alignment on where we invest and why.
Run the planning rhythm. Lead annual and quarterly planning, goal-setting, and the operating cadence that connects strategy to execution and holds the org accountable to outcomes.
Drive cross-functional programs end to end — defining scope, sequencing the work, unblocking teams, and landing results across Product, Engineering, and Ops.
Be a force multiplier for leadership, surfacing the signals that matter, pressure-testing decisions, and making sure the team is solving the right problems.
Qualifications
Minimum
12+ years across analytics, strategy, planning, & program management, with significant time leading teams.
A strong track record of building and scaling analytics or data platforms into systems and tooling, not just deliverables.
Demonstrated AI-first fluency: hands-on experience applying LLMs, automation, or ML to scale analysis and decision-making.
Preferred
Experience in marketplace, mobility, logistics, or other high-scale operational businesses.
Background spanning both strategy and execution — equally credible setting direction and running the program that delivers it.
Technical depth (SQL, Python, modern data stack, modeling) sufficient to lead analytics and AI teams with credibility.