Director, Workforce Analytics

Job Description

Are you passionate about Human Resources and Analytics? If so, we have an exciting opportunity to join our global Human Resources organization as the Director of Workforce Analytics! In this role, you will have the opportunity to work with senior leadership to develop the vision and strategy for Human Capital Insights. This role will provide leadership to the team to ensure high quality, sophisticated analytic results that support organization strategies & human capital planning.

There will be opportunities to expand the analytics function, identify business use cases and well defined analytics processes across the entire employee life cycle. This person will partner with cross‑functional audiences (business leaders, analytics/data governance teams, technology, and HR Centers of Excellence) to embed analytics to support a more data‑centric organization.

This is an outstanding role with a lot of variety and chance to create an impact! We embrace diversity and will encourage and equip you to reach your potential. We provide employees with competitive compensation and rewards. Our comprehensive benefits support your health and help you balance your career and personal life.

If you are not located close to a physical office, remote work is considered for qualified candidates.

• Develop and integrate the human capital analytics roadmap with the goal of providing strategic solutions that empower key business partners to make data‑driven decisions related to each aspect of the employee lifecycle and gain insights to advance human capital objectives within their business function. Execute the human capital data strategy for the data domain prioritized to specific business needs.
• Lead team to collaborate with HR business partners, business line leaders and executives to identify and define business use cases for analytic studies, prioritize requests and develop, test and implement sophisticated data analytics and predictive modeling.
• Apply expertise to identify issues, opportunities, and root causes. Use data, statistics and visualization to build meaningful insights that deliver value across the function. Strive to deliver self‑service tools to business partners and business line leaders to enable them to make more informed decisions quicker.
• Prepare and synthesize large amounts of data from both internal and external sources into executive level summaries that contain actionable insights. Present data in a way that tells a story and helps inform, influence, and support critical decisions.
• Provide strategic thought leadership and effective people leadership to the team through coaching, feedback, work direction and prioritization, and sound performance management practices.

• Bachelor’s Degree or equivalent
• 10+ Years' relevant experience
• Experience with statistical programming & modeling (SAS, R, Python, SQL etc.) & data visualization software in a data‑rich environment.
• Consistent track record to present/communicate sophisticated, technical materials in a way that facilitates decision making and drives outcomes
• Ability to translate business requirements into technical requirements; ability to communicate to less technical partners to influence outcomes
• Sophisticated PowerPoint and Excel (including business modeling) skills, data visualization skills
• Confirmed ability to apply both strategic and analytic techniques to provide business solutions and recommendations

• Master’s degree in Behavior Sciences, Finance, Statistics, Computer Science, Engineering, etc.
• SAS, SQL Certification
• Workday/Prism knowledge/experience preferred.
• Prior experience leading a data analytics team.

We are a client‑centric, relationship‑based business. Working together, in‑person, is foundational to how we achieve results. By fostering a culture of face‑to‑face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week.

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