Lead Product Manager, Workforce Planning & Analytics

Intuit Inc.

United States

On-site

USD 190,000 - 278,000

Full time

14 days+

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Job summary

Intuit is seeking an experienced Product Manager to lead the Workforce Planning data and analytics ecosystem within the People Data & Analytics team. You will own the product vision, roadmap, and delivery for data models, reporting, governance, and analytics that inform leadership decisions.

You will partner with HR, Finance, and business leaders to translate requirements into roadmaps, define success measures, and drive end-to-end execution across data products and AI-enabled capabilities.

Qualifications

8+ years working across People Analytics and/or Workforce Planning, with hands-on ownership of the data, models, and technology those functions run on.
Proven experience as a Product Manager owning a roadmap, backlog, and delivery for data, analytics, or planning products, or equivalent experience leading end-to-end delivery.
Direct experience with workforce planning models, processes and forecasting, including headcount, attrition, and hiring models, scenario modeling, and translating a financial envelope into headcount.
Experience implementing workforce planning or HR technology end to end, from selection or build through integration, rollout, and adoption. Working knowledge of Workday, Avature, or comparable systems.
Deep familiarity with workforce data models and definitions, and a track record of consolidating fragmented reports, models, and tools into a governed ecosystem where HR, Finance, and the business plan against the same numbers
Experience scoping AI-native or agentic experiences, with a clear point of view on governance, evaluation, and measurement.
Demonstrated ownership of data governance frameworks, data quality standards, and access and trust models for sensitive workforce data, developed in partnership with HR, Legal, Privacy, and Security.
A consultative approach with senior stakeholders: advising on how planning data, analytics, and tooling should work, driving alignment where definitions conflict, surfacing trade-offs early, and communicating clearly with both leadership and delivery teams.
Technical depth and curiosity: comfortable in SQL, able to reason about data models and pipelines, and a credible participant in architecture discussions. This is not a requirements-gathering-only role.

Responsibilities

Define roadmaps and goals with dependencies across data products, data science, and analytics, and lead the cross-functional team to deliver a high-quality end-to-end experience.
Translate the needs of HR, Finance, Talent Acquisition, Biz Ops and business leaders into functional and technical requirements, sequencing decisions, and delivery plans, and hold accountability for what ships and when.
Own backlog prioritization, manage dependencies, and drive delivery in an agile fashion: go broad to go narrow, build, test, iterate.
Drive improvements across data, analytics, tools, and systems that span multiple domains of the planning ecosystem, consolidating parallel efforts rather than adding to them.
Define and analyze the success measures for the ecosystem, reporting on adoption, data quality, and decision impact, retiring what is not used and investing where it is.