Sr Dir - HR Data Analytics

Maximus is currently seeking a Sr Director-HR Data Analytics (remote). The Senior Director of HR Data Analytics sets the enterprise strategy, operating model, and governance for HR data, insights, and workforce intelligence across Maximus. This role owns the people analytics roadmap to ensure leaders have trusted, timely insights to make high-impact workforce decisions. The Senior Director partners with key stakeholders to translate enterprise priorities into measurable outcomes, strengthen workforce planning, elevate the employee experience, and improve operational performance. The role leads a high-performing team, manages key vendor and platform relationships, and ensures analytics practices meet standards for privacy, security, compliance, and ethical use of data and AI. Key Responsibilities Team Leadership u2022 Lead, coach, and grow a multi-disciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned to enterprise needs. u2022 Build organizational capability through talent strategy, succession planning, and knowledge management; manage budgets and vendor performance to deliver high-quality, reliable analytics services. HR Analytics & Insights u2022 Set the enterprise people analytics strategy, including executive dashboards and an integrated insights cadence for the HR Leadership Team and business executives. u2022 Oversee advanced analytics (e.g., predictive modeling) to quantify drivers of retention, performance, engagement, and productivity at enterprise scale. u2022 Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risk, and investment decisions. u2022 Establish disciplined methodologies for insight generation (data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting. u2022 Assess and prioritize AI use cases across the HR function, partnering with HRBPs and Centers of Excellence to identify high-value opportunities u2022 Build team capability in AI-assisted analytics tools, including prompt engineering, output validation, and critical evaluation of model results u2022 Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring findings are communicated with appropriate confidence levels and caveats u2022 Maintain data lineage documentation so that any metric or prediction can be traced back to its source, logic, and assumptions u2022 Govern access permissions for AI-generated outputs, ensuring sensitive insights are restricted to appropriate audiences u2022 Serve as an internal advocate for responsible AI use, raising concerns when AI applications risk producing inequitable or legally problematic outcomes Strategic Workforce Intelligence u2022 Facilitate enterprise workforce intelligence in partnership with Talent Acquisition, Learning, Total Rewards, HRBPs, and Finance to inform multi-year workforce and skills strategies. u2022 In partnership with the Strategic Workforce Planning (SWP) team, support forecasting, scenario planning, and capacity models; translate strategic plans into demand/supply insights, leading indicators, and quantified trade-offs. Data Quality, Governance & Infrastructure u2022 Own enterprise HR data governance for people analytics, including platform strategy, vendor partnerships, and integration with enterprise data/BI ecosystems. u2022 Establish and enforce enterprise measurement standards (definitions, hierarchies, metadata, and stewardship) to ensure a single source of truth for workforce metrics. u2022 Ensure data privacy, security, and compliance practices (including retention and access controls) are embedded in analytics products and AI-enabled workflows. u2022 Define the analytics technology roadmap in partnership with the Technology team; evaluate, select, and govern tools to improve insight delivery, automation, and self-service analytics across HR and the enterprise. Cross-Functional Partnership u2022 Serve as the enterprise people analytics advisor to the CHRO and HR Leadership Team, shaping decisions through data-driven perspectives and measurable outcomes. u2022 Lead analytics support for enterprise initiatives (e.g., growth, transformation, M&A integration, skills strategy), aligning metrics, governance, and change adoption. u2022 Influence senior stakeholders across HR, Technology, Finance, and operations; establish engagement models, service levels, and governance forums that enable enterprise-wide alignment. Essential Duties and Responsibilities: - Set the enterprise people analytics strategy, including executive dashboards and an integrated insights cadence for the HR Leadership Team and business executives. - Oversee advanced analytics (e.g., predictive modeling) to quantify the drivers of retention, performance, engagement, and productivity at enterprise scale. - Deliver board- and executive-ready narratives that connect workforce insights to business outcomes, risks, and investment decisions. - Establish disciplined methodologies for insight generation (including data validation, assumptions, documentation, and reproducibility) and set quality standards for enterprise reporting. - Facilitate enterprise workforce intelligence in partnership with Talent Acquisition, Learning, Total Rewards, HRBPs, and Finance to inform multi-year workforce and skills strategies. - Collaborate with the Strategic Workforce Planning (SWP) team to support forecasting, scenario planning, and capacity models; translate strategic plans into demand and supply insights, leading indicators, and quantified trade-offs. - Translate AI-generated insights into actionable narratives for CHRO and executive audiences, ensuring that findings are communicated with appropriate confidence levels and caveats. - Own enterprise HR data governance for people analytics, including platform strategy, vendor partnerships, and integration with enterprise data/BI ecosystems. - Serve as the enterprise people analytics advisor to the CHRO and HR Leadership Team, shaping decisions through data-driven perspectives and measurable outcomes. - Lead, coach, and grow a multidisciplinary team (analytics, data engineering, and/or reporting); set priorities, operating rhythms, and performance expectations aligned with enterprise needs. Minimum Requirements '- Bachelor's degree in relevant field of study. -12+ years of relevant professional experience required. Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Minimum Salary $160,000 Maximum Salary $210,000

Created: 2026-05-11