Senior Manager, Global HR Analytics COE Lead
Listed on 2026-03-01
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IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Overview
Senior Manager, Global HR Analytics COE Lead at Whirlpool Corporation - Canada
Full Time
Start Date
Immediate
Expiry Date
12 Apr, 26
189400.0
Posted On
12 Jan, 26
Experience
10 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Data Analysis, Data Visualization, Cloud Computing, Team Leadership, Statistical Analysis, Predictive Analytics, Project Management, Communication, Problem Solving, Data Strategy, HR Systems, Workforce Planning, Data Modeling, Customer Focus, Innovation, Continuous Learning
Manufacturing
Description 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
Team
The team you will be a part of
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.
Role Summary
This role is to lead a team that develops data-driven solutions and strategies to equip People Leaders to make more informed decisions in organization, talent, and culture. You will enable strategic HR initiatives, including building a robust talent pipeline for leadership roles. For Chicago-based candidates, bi-weekly in-office attendance at our Global Headquarters in Benton Harbor, Michigan, is required.
#LI-DD1
Responsibilities- Stakeholder 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. - Team 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.
- 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 findings into actionable recommendations.
- Excellent communication and interpersonal skills to convey data insights to both technical and non-technical audiences.
- Strong project management skills with the…
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