Senior Staff Talent Analytics Lead

Overview The People & Places Analytics, Research, and Technology (PART) team is looking for a Senior Staff Business Data Analyst to lead the technical strategy for Talent Analytics, spanning workforce planning, talent acquisition, and broader people insights. As Intuit scales its use of people data to power headcount, hiring, and organizational decisions, the volume and complexity of talent data such as, current headcount, open requisitions, planned exits, hiring projections, and recruiting pipeline metrics continues to grow. We need a senior, hands‑on analyst who can automate today's manual reconciliation work, build the pipelines and dashboards that scale insight delivery across the talent lifecycle, and apply AI to get the right analytics to the right teams. Overview The People & Places Analytics, Research, and Technology (PART) team is looking for a Senior Staff Business Data Analyst to lead the technical strategy for Talent Analytics, spanning workforce planning, talent acquisition, and broader people insights. As Intuit scales its use of people data to power headcount, hiring, and organizational decisions, the volume and complexity of talent data such as, current headcount, open requisitions, planned exits, hiring projections, and recruiting pipeline metrics continues to grow. We need a senior, hands‑on analyst who can automate today's manual reconciliation work, build the pipelines and dashboards that scale insight delivery across the talent lifecycle, and apply AI to get the right analytics to the right teams. This is a highly visible role that will partner directly with senior stakeholders and Intuit's senior leadership team, and will shape how talent data flows from source systems through to executive decision‑making. Responsibilities Talent Analytics Strategy & Data Ownership Own the end-to-end data strategy across talent analytics, including workforce planning (headcount, requisitions, planned exits, hiring projections) and talent acquisition (recruiting funnel, time-to-fill, quality-of-hire) Automate manual reconciliation processes to deliver a consistent, trusted, near real‑time view of talent data Partner with People, Talent Acquisition, and Finance teams to keep talent analytics data aligned across systems Data Quality, Pipelines & Architecture Understand and influence how talent data is structured, stored, and moved across databases, data warehouses, and data pipelines Establish and enforce data quality standards so downstream dashboards and executive reporting can be trusted Identify opportunities to convert ad hoc or manual data requests into durable, automated solutions Visualization & Insight Delivery Design and build intuitive, high‑quality dashboards and visualizations for people leaders, Talent Acquisition, and business stakeholders Translate complex talent data into clear narratives and recommendations for senior leaders Continuously improve self‑service reporting so stakeholders can find answers without requiring a one‑off data pull AI-Enabled Analytics Build and deploy AI agents (e.g., using Claude and similar tools) to deliver insights /reporting, automate relevant recurring analytics tasks, applying agent architecture thinking to scale delivery and speed up time‑to‑insight for stakeholders. Evaluate and pilot new AI tools and approaches for talent analytics, workforce planning, and people analytics Partner with data engineering to ensure talent data is well‑structured and AI‑ready Stakeholder & Executive Partnership Act as a senior technical thought partner to senior stakeholders, SLT, and Intuit executives on talent data and insights Manage ad hoc requests from senior leadership, balancing responsiveness with the discipline of the team's standard intake process Present talent data and insights clearly and credibly to senior and executive audiences Qualifications Bachelor's degree in Data Analytics, Business, Human Resources, Industrial/Organizational Psychology, or a related field. 8+ years of experience in business/data analytics, with demonstrated ownership of talent analytics, workforce planning, recruiting/TA, or broader people analytics data Strong hands‑on experience with building and deploying AI agents to deliver Talent insights at scale Working knowledge of data warehouse, data pipeline, and data architecture concepts, and how they affect analytics at scale Experience automating manual reporting processes and building scalable dashboards or self‑service tools Strong data quality instincts, able to define and enforce standards that senior leaders can trust Excellent communication skills, with a track record of presenting to and influencing senior stakeholders and executive leadership Ability to operate autonomously in ambiguous situations, translating loosely defined requests into structured, durable solutions Preferred: Experience with Workday HCM data and Avature or other ATS/recruiting platforms Experience partnering with Talent Acquisition or recruiting analytics teams on funnel, sourcing, or pipeline metrics Familiarity with People Data governance, security, and access considerations Footer Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Expected Base Pay Range For This Position Is San Diego $171,500 - $231,500 Mountain View, CA $184,000- $249,000 #J-18808-Ljbffr Intuit