Intuit is seeking to drive unified measurement frameworks and ensure analytics excellence across global teams, leveraging data science, experimentation, and scalable measurement to optimize emerging AI capabilities and integrate them into Intuit’s platform.
Requirements
- Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
- Proven expertise in statistical analysis, experimentation design, and causal inference techniques.
- Strong programming skills in Python or R, with proficiency in SQL (Hive/Presto/BigQuery experience preferred).
- Demonstrated success building unified KPI frameworks, measurement pipelines, or analytics governance structures at scale.
- Experience providing technical oversight to global analytics or data science teams.
- Hands-on experience designing evaluation and measurement frameworks for Generative AI and agentic workflows, including conversational AI, AI assistants, and autonomous task orchestration.
- Strong business acumen and ability to translate ambiguous questions into clear analytical frameworks, success metrics, and actionable insights.
Responsibilities
- Strategic Alignment with Leadership: Collaborate with product, platform, and engineering leaders to align analytics priorities with platform goals, ensuring data-driven decisions inform roadmaps and investments.
- Unified KPI Framework: Lead the definition, consolidation, and governance of key performance indicators (KPIs) across platform workstreams, enabling consistent and transparent measurement of impact.
- Oversight of Global Analytics Execution: Provide technical and strategic oversight of global analytics teams (particularly in India), ensuring high-quality, timely, and aligned delivery of measurement and analytics initiatives.
- End-to-End Measurement Leadership: Design and implement scalable, durable measurement frameworks to evaluate platform adoption, performance, and long-term business impact.
- GenAI and Agentic Workflow Evaluation: Develop and lead measurement and evaluation frameworks for Generative AI systems and agentic workflows, including GenAI-powered digital assistants, retrieval-augmented generation (RAG), and autonomous task execution.
- Cross-Functional Collaboration: Act as the central analytics partner across Product, Design, Engineering, and Data teams, ensuring analytics and insights are integrated into decision-making at every stage of the product lifecycle.
- Experimentation and Advanced Methods: Guide experiment design and advanced analytical methods to evaluate platform enhancements, including causal inference techniques, attribution frameworks, and robust A/B testing.
Other
- Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
- 10+ years of combined academic and industry experience applying scientific methods to real-world, large-scale data problems.
- Excellent communication skills with the ability to influence and collaborate effectively with senior leadership and cross-functional partners.
- Track record of embedding analytics into product and platform decisions that drive measurable business impact.
- Ability to travel (not specified)
