Shaping Workforce Strategy
Through Analytics

Set the people analytics vision and strategy for a 55,000-person organization, repositioning the function as a business analytics discipline that connected workforce signals directly to enterprise outcomes. Advised C-suite and senior HR leaders on prescriptive analytics — flight risk scenarios, cost-of-attrition modeling, and succession exposure assessments — translating complex data into actionable decision options with explicit tradeoffs and estimated ROI. Championed the shift from role-based succession to skills-based capability forecasting across ~250 key leadership roles. Built and scaled a multi-disciplinary team from 3 to 10 (90% engagement vs. 80% company average), guiding the adoption of responsible AI and generative AI tools that reduced engagement signal lag from 3–6 months to real-time continuous listening.

Directed the enterprise implementation of the Workday People Analytics Hub, leading the team that consolidated 100+ legacy reports into a governed, scalable analytics ecosystem — reducing manual HR reporting by ~30% and democratizing data access across the organization. Redesigned the operating model from ad-hoc reporting requests to outcome-oriented business questions, consulting with leaders to enable self-service insights. Partnered across Talent, DEI, HR Business Partners, and Technology to establish analytics ROI as a core metric for measuring the business impact of engagement, performance, and talent review cycles.

Designed the analytics operating model — defining processes, roles, and accountability structures that laid the data governance foundation required for advanced analytics and responsible AI adoption. Co-founded an HR data governance council with HRIS and HR leadership, strengthening data quality, compliance, and enterprise trust in workforce data. Oversaw the implementation of Microsoft Power BI Service to expand data democratization and leader self-service. Hired, coached, and developed analysts, shaping a team capable of translating workforce signals into strategic, executive-level insights.

Built foundational workforce metrics and dashboards connecting performance, productivity, hiring, and turnover data to business outcomes. Automated recurring reporting using Power BI, Oracle BI, and Workday — establishing the data infrastructure that would later support predictive and prescriptive analytics. Translated findings into executive- and board-level insights that directly shaped workforce investment decisions.