Data Science Manager — Measurement & Impact Leader

Intuit, Inc.; San Diego (CA); On-site; USD 189,000 - 256,000; Full time

Job summary

Intuit, Inc. is seeking a Manager 2, Data Science to lead measurement of expert-driven service excellence across our CG expert workforce.

You will head a team of data scientists covering five interlocking areas and partner with VEP, Expert Network, and Service Design leaders to scale measurement end-to-end. This role focuses on causal inference, experimentation, training efficacy, and labor optimization, with opportunities to influence conversion and customer-serving time outcomes.

Qualifications

• 7+ years of analytics and data science experience, including product analytics and customer/expert experience analytics.
• Proven experience leading a team of analysts and/or scientists.
• Strong passion for uncovering strategic opportunities and solving business problems.
• Prior hands-on experience with advanced statistical analysis, controlled experimentation (including A/B testing of hierarchical mixed effects), and applied data science.
• Prior hands-on experience with Causal Inference methods (Propensity Score, DiD, Synthetic Control, etc.) and knowing when to use them to answer key business questions.
• Experience designing quality and experience metrics (e.g., NPS-style scores, quality scorecards) and connecting them to business KPIs such as conversion and service time.
• Proficient with SQL and Python.
• Experience applying AI/ML and GenAI tools to accelerate analysis and workflows.
• Experience with data gap assessments, requirements gathering, and infrastructure implementation.
• Outstanding communication skills with both technical and non-technical colleagues.
• Education: Bachelor's or Master's Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, Operations Research, etc.)

Responsibilities

• Own the measurement strategy across CG's expert service pillars — expert experiences conversion initiatives, VEP operational capabilities, training and upskilling, expert quality and service-guidance adherence, and labor optimization — in close partnership with VEP, Expert Network, and Service Design leaders.
• Advance causal inference and experimentation as a shared capability, establishing the causal relationship between service guidance, expert behavior, and outcomes like conversion and customer-serving time.
• Contribute to a cross-signal, causal-graph decision engine that connects expert behavior, quality, and operational signals to size the impact of levers and inform roadmap and investment decisions.
• Build and govern the training and learning platform efficacy framework, connecting L&D investment to expert quality and business outcomes.
• Partner with cross-functional business leaders (e.g., VEP, Expert Network, Service Design, Service Delivery, Operations, Learning & Development, Expert Engagement) to shape strategy, investment priorities, and reporting cadence (e.g., WBR, Redzone).
• Lead and develop a world-class team of analysts and data scientists, coaching technical and strategic skill sets, especially in advanced analytics, applied data science, and modeling.
• Translate business and analytics strategies into multiple short-term and long-term projects, and manage end-to-end execution, including the creation of a metric framework for expert experiences and developing learning plans that connect training and service investments to expert experience metrics.
• Activate analytics insights that lead to decisions or better hypotheses, and evangelize innovative analytics ideas that enable new opportunities.
• Drive analytics rigor by inspecting and improving experimentation methodologies and techniques, and creating a learning culture.
• Drive the data roadmap from data quality to data visualization, and construct data models that enable E2E service excellence measurement.
• Role-model 'win-together' while challenging the status quo and driving change across teams, regardless of organizational structure.

Skills

Data analytics

Team leadership

Causal inference

A/B testing

SQL

Python

GenAI tools

Education

Bachelor's or Master's in quantitative field

Tools

SQL

Python

Job description

Intuit, Inc. is seeking a Manager 2, Data Science to lead measurement of expert-driven service excellence across our CG expert workforce.

You will head a team of data scientists covering five interlocking areas and partner with VEP, Expert Network, and Service Design leaders to scale measurement end-to-end. This role focuses on causal inference, experimentation, training efficacy, and labor optimization, with opportunities to influence conversion and customer-serving time outcomes.