Senior Manager, Global HR Analytics COE Lead
Listed on 2026-01-12
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IT/Tech
Data Science Manager -
HR/Recruitment
Career Opportunities:
Senior Manager, Global HR Analytics COE Lead (67370)
Requisition
67370
-Posted
- Global Headquarters More (1)
ABOUT WHIRLPOOL CORPORATION
Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, in constant pursuit of improving life at home and inspiring generations with our brands. The company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, Kitchen Aid, Jenn Air, Maytag, Amana, Brastemp, Consul, and In Sink Erator . In 2023, the company reported approximately $19 billion in annual sales, 59,000 employees, and 55 manufacturing and technology research centers.
Additional information about the company can be found at
As the Global HR Analytics COE Lead, this role is responsible for leading the Global HR Analytics COE team. You’ll work closely with the Global Org & Talent COE (Org Effectiveness, Talent Acquisition, Talent Management, Learning and Leadership Development, and Inclusion and Diversity) and the Global Total Rewards COE (Compensation, Benefits, and Global Mobility), and other cross-functional partners to develop key data and analytics and turn these insights into effective decisions and actions.
This role in summaryWhirlpool is currently seeking a highly skilled and experienced candidate to fill a critical Senior Manager, Global HR Analytics COE Lead position located at our Global Headquarters in Benton Harbor, Michigan, or from our World of Whirlpool location in Chicago, IL. This role is fully onsite, Monday through Friday. In this role, you will be responsible for leading the team that develops data-driven solutions and strategies to equip our People Leaders to make more informed decisions in the areas of organization, talent, and culture.
You will play a critical role in enabling several strategic HR initiatives, including our focus on building a robust supply of talent that is prepared and ready to fill key leadership roles.
For Chicago-based candidates, bi-weekly in-office attendance at our Global Headquarters in Benton Harbor, Michigan, is required. This attendance is defined as one or two days at our Global Headquarters every other week.
Your responsibilities will includeStakeholder Collaboration & Consultation:
- Collaborate with HR and business leaders to understand their needs and align analytics efforts with organizational goals.
- Serve as a strategic partner to business leaders, designing solutions that produce data-driven insights to meet their needs and inform their critical decisions.
Data Strategy and Management:
- Develop and execute a comprehensive data strategy, including data collection, integration, storage, and security, leveraging our AWS cloud environment.
Analytics and Insights:
- Lead the design and development of advanced analytics models, tools, and dashboards to monitor and evaluate the effectiveness of recruitment and talent management processes.
Data Visualization & Storytelling:
- Present complex data findings in a clear, concise manner to stakeholders at all levels, including senior leadership.
- Manage and develop a team of primarily remote team members, ensuring their professional growth, development, and alignment with functional goals.
- Foster a culture of continuous learning, data-driven decision-making, customer focus, and innovation within the analytics team.
- Bachelor's or Master’s degree in Statistics, Data Science, Business Analytics, Economics or a related field.
- Experience (10+ years) in data and analytics.
- Experience (5+ years) in data visualization tools (e.g., Tableau, Looker Data Studio).
- Experience (5+ years) in managing a cloud computing environment (AWS, Azure, Google Cloud Platform).
- Experience (3+ years) leading and developing a team, either through formal or informal people leadership experience.
- Certification in data analysis, data science, or a relevant field.
- Proficiency in statistical analysis, data modeling, and predictive analytics.
- Knowledge of workforce planning and human capital trends.
- Exceptional problem-solving skills and the ability to translate complex data…
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