Manager, People Analytics and Planning

As part of the Human Resources team at Ford Motor Company, you’ll help attract, hire, and retain top talent. As Manager, People Analytics and Planning, you will be a trusted analytics and planning partner to HR's senior leaders, including the Chief People & Employee Experience Officer.

You will turn complex workforce data into clear, executive-ready insights. You will work with the HR Leadership Team to shape ambiguous questions into structured analyses and confident recommendations. You will create scorecards, dashboards, and presentations leaders use to understand trends in headcount, attrition, hiring, mobility, and talent development.

You will prepare leaders for high-stakes meetings and respond to urgent requests with accuracy and a clear point of view. You will build analytics products in tools such as Visier, Qualtrics, and Power BI. You will manage ETL processes that bring data from many systems together into reliable, secure datasets.

Beyond describing what happened, you will apply diagnostic and predictive methods such as attrition risk modeling. You will explore how AI and generative AI can make people analytics faster, more predictive, and more widely used. This includes automating recurring reporting, building self-service solutions, and helping define responsible-AI practices for people data.

Responsibilities

Executive analytics and storytelling

• Partner with the HR Leadership Team and direct reports to clarify priorities, turn ambiguous questions into structured analyses, and provide clear recommendations.
• Develop executive-level reports, scorecards, and dashboards on workforce trends, talent outcomes, and organizational health.
• Create and deliver concise, compelling presentations for senior leadership forums.
• Prepare leaders for high-stakes meetings with briefing materials, talking points, and anticipated Q&A.
• Respond to urgent, high-visibility requests with accuracy and a clear point of view.

Analytics platforms and data

• Build and maintain analytics products in Visier, Qualtrics, Power BI, and other BI and data tools.
• Design and manage ETL processes to extract, transform, and integrate large, complex datasets from multiple HR and business systems into reliable, analysis-ready data.
• Combine and validate data from multiple sources. Keep metric definitions and logic documented and consistent.
• Apply descriptive, diagnostic, and predictive methods, such as attrition risk modeling and driver analysis.
• Protect data quality, privacy, and security when handling sensitive employee information.

AI and emerging technology

• Evaluate and apply AI and generative AI tools, such as natural-language analytics, automated insight generation, and text analytics on survey comments.
• Automate recurring reporting and build scalable self-service solutions.
• Help define responsible-AI practices for people data, including bias testing, model validation, transparency, and compliance.
• Track developments in HR technology and recommend practical adoption opportunities.

Qualifications

• Bachelor's degree in Analytics, Statistics, Economics, Data Science, Business, HR, or a related field or equivalent combination of relevant education and experience.
• 5+ years of experience in people analytics, HR analytics, workforce planning, business intelligence, or consulting.
• Hands-on experience with Visier or a comparable BI platform, Oracle HCM or a comparable HCM system, and Qualtrics or a comparable survey platform.
• Proven experience working with large, complex data sets, including ETL (extract, transform, load) techniques to clean, integrate, and prepare data from multiple sources.
• Experience with Power BI or similar data visualization tools.
• Experience presenting complex information, strategic recommendations, and business outcomes to executive leadership.
• Advanced Microsoft PowerPoint and Excel skills, with a demonstrated record of building executive-ready materials.
• Demonstrated experience presenting to and advising senior executives, including defending analysis under challenge.
• Working knowledge of AI and emerging technologies, with examples of applying them.
• Strong judgment and discretion with confidential data.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage
• Paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day