The Intuit Customer Success (ICS) Data Science & Analytics team is seeking a Manager 2, Data Science to lead product analytics for the platform that connects customers with our experts: how customers are routed and matched to the right expert, and how the knowledge and AI-powered tools experts use shape the outcome.

You will lead a small team of analysts and data scientists while spending a material part of your time staying hands-on in the data yourself, and you will be the analytics voice in the room with product managers and product development leaders, defining what 'good' looks like before a feature ships and what evidence a change must produce to earn a rollout

Own the product analytics framework for the expert platform (event taxonomy, instrumentation requirements, adoption and funnel measurement), spanning how customers are matched to experts and how experts use the knowledge and AI tools available to them.

- turning product problem statements into measurable impact estimates from behavioral data, separating total from achievable chance, and using those estimates to stack-rank the roadmap with product partners.
- Apply causal inference (difference-in-differences, propensity score, synthetic control, instrumental variables) to isolate product impact from shifts in demand mix, staffing, and seasonality.
- Track every launch after it ships: confirm the sized impact actually materialized, monitor it over time, and catch regressions before the business feels them.
- Evaluate AI-driven experiences,



including matching and ranking models as well as retrieval and knowledge tools, against both offline quality benchmarks and online behavioral outcomes.
- Drive data enablement for the domain: gap assessments, instrumentation requirements handed to engineering, metric definitions, data quality monitoring, and self-serve reporting.
- 7+ years of analytics and data science experience, with meaningful depth in product analytics for a software or AI product.
- Experience leading and developing analysts and/or data scientists while continuing to contribute hands-on.
- Demonstrated partnership with product management and engineering leaders through a full product lifecycle: discovery, launch, evaluation, and iteration.
- Experience sizing opportunities to prioritize a product roadmap
- Hands-on experimentation design and analysis, including guardrail metrics, variance reduction, and non-standard designs such as switchback or cluster-randomized tests.
- Hands-on causal inference experience, with sound judgment about when each method applies.
- Experience measuring AI, search, recommendation, or retrieval-based systems beyond accuracy alone.
- Experience defining event instrumentation from scratch and driving it through an engineering roadmap.
- Proficient with SQL and Python; experience applying AI and generative AI tooling to accelerate analysis.
- Outstanding communication with technical and non-technical audiences, able to make a crisp recommendation under uncertainty.
- Bachelor's or Master's degree in a quantitative field

📌 Data Analysis and Data Science Manager (Bengaluru)
🏢 Intuit
📍 Bengaluru