You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders