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Workforce Data & Analytics Manager

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector‑specific insights and cross‑domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better  part of this exciting era of change and join us on this transformative journey.

HR

Strategy & Technology

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting‑edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Work you'll do

As a Workforce Data & Analytics Manager, you will manage engagement teams, working with clients to advance their data and people analytics capabilities across strategy, people, process, data and technology and to help them deliver business‑driven, actionable people insights across work, workforce and workplace topics (e.g., operations, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc).

Client Engagement and Relationship Management
  • Serve as a primary point of contact for clients, understanding their business needs and translating them into data requirements and analytics solutions.
  • Identify new data‑ & analytics‑based business opportunities and lead client sales pursuits.
  • Lead and support business development activities, including proposal development and client presentations.
Functional Expertise
  • Define top client business questions and challenges by conducting client interviews, synthesizing findings, and identifying key themes coming out of discovery work.
  • Direct the development of a client’s people data and analytics vision, strategy, operating model and roadmap for igniting and scaling insights.
  • Uncover key client business problems and define related people analytics use cases (and associated data needs) with clear, tangible business outcomes.
  • Interpret, understand, and present analytics results to clients, with a strong focus on data storytelling and actionable insights.
  • Stay updated on the latest trends, tools, and technologies in people data, analytics, HR technology and generative AI.
Technical and Analytical Expertise
  • Architect the end‑to‑end data lifecycle, including developing modern data architectures, engineering robust data pipelines, and designing and building data products that support analytics and AI use cases.
  • Lead the development of analytics solutions – cleansing and wrangling structured and unstructured data, designing and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes.
  • Manage the design, build, test and deployment of people analytics dashboards, data visualizations and predictive models within Human Capital Management (HCM), People Analytics or enterprise BI platforms.
  • Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and People Analytics focus areas.
  • Develop data visualizations that highlight key insights to help clients make informed business decisions related to human capital issues.
  • Integrate AI and machine learning techniques to enhance HR tools and processes, providing advanced analytics and insights. Train and mentor team members on the use of AI tools and techniques in People Analytics.
  • Oversee the development of data quality improvement recommendations and data quality remediations.
  • Understand core principles of data governance and advise clients in developing their own data governance processes.
Project Leadership and Delivery
  • Manage delivery of people data and analytics projects for Deloitte clients, including planning projects, staffing projects, overseeing creation and finalization of client deliverables, managing…
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