Senior Staff Business Data Talent Analytics Lead

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/Organization 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