Director, People Analytics and Transformation - Hybrid
Greenwich, CT, US, 06831
What you’ll need to succeed as a Director, People Analytics and Transformation at XPO
Minimum qualifications:
- Bachelor’s degree in data science, HR, Business, or related field
- 7 years in HR analytics or workforce planning
- 3 years in leadership role with demonstrated experience managing teams across different countries and cultures to ensure global alignment and effectiveness
- Expert-level proficiency in Power BI, Tableau, Looker, SuccessFactors, and Microsoft PowerApps. Familiarity with Python, R, or other statistical tools.
- Experience with AI/ML models for workforce forecasting and attrition prediction using platforms such as Azure Machine Learning, IBM Watson, and Google Cloud AI.
- Strong understanding of HR data, data governance, and leadership reporting on people analytics.
Preferred qualifications:
- Master’s degree; experience with AI/ML applications in HR
- Experience leading through transformation (e.g., evolution of data reporting to advanced analytics) and culture shift (e.g., mentoring and growing talent to be collaborative partners and inquisitive story tellers).
- Demonstrates a strong intellectual curiosity and a structured approach to data exploration.
- Proactively seeks patterns, trends, and insights that uncover root causes and inform strategic decisions. Effectively translates complex data into clear, compelling narratives that support strategic decision-making.
- Maintains high standards of visual and narrative consistency across decks, dashboards, and reports, reinforcing brand integrity and stakeholder trust.
- Excellent cross-cultural communication skills and ability to influence and collaborate across diverse regions.
- Ability to influence with a positive and professional attitude.
- Excellent project management skills, with the ability to manage and prioritize multiple projects.
- Delivers high-quality work consistently, with attention to timelines, standards, and stakeholder expectations.
About the Director, People Analytics and Transformation job
Pay, benefits and more:
- Competitive compensation package
- Full health insurance benefits are available on day one
- Life and disability insurance
- Earn up to 15 days of PTO over your first year
- 9 paid company holidays
- 401(k) option with company match
- Education assistance
- Opportunity to participate in a company incentive plan
What you’ll do on a typical day:
- Reporting directly to the CHRO, the Director, People Analytics and Transformation is a strategic leadership role responsible for leading the workforce analytics team and driving automation and process improvements across the global HR function. This role partners with senior HR leaders to deliver actionable employee focused insights, optimize processes, and enhance people related decision-making. The role will be instrumental in shaping how people data and artificial intelligence can be leveraged to enhance HR and business leader decision-making across the employee lifecycle.
- In leading the workforce analytics team, this role requires the ability to communicate complex data driven insights in clear, business-relevant ways and use predictive analytics to determine business strategies. The role will lead the development of intelligent dashboards and predictive models, using advanced workforce and performance analytics leveraging internal reporting tools.
- Additionally, this role will partner closely with the HR leadership team and the internal IT teams to critically evaluate and then implement emerging HR technologies to enhance operational efficiency across the function. This role will serve as an internal expert on the HR team regarding the use of various AI platforms and functionality to drive increased HR optimization and effectiveness. The role will review current internal processes and practices to identify areas for technical or workflow automation.
- As one of the nation’s leading transportation companies, we are committed to harnessing technology and analytics to empower our people and optimize our operations. This is an opportunity to lead transformative work that will shape the future of how we attract, develop, and retain talent at scale.
Director, People Analytics and Transformation are required to:
- 25% - Lead the Workforce Analytics function, setting vision and strategy aligned with company goals.
- 20% - Drive automation and AI adoption in HR analytics, including predictive modeling and intelligent dashboards using tools such as Azure ML, IBM Watson, and Google Cloud AI.
- 15% - Oversee development and governance of enterprise-wide HR metrics and reporting standards.
- 15% - Partner with senior stakeholders across HR, Finance, and Operations to deliver strategic insights and influence workforce planning.
- 10% - Lead continuous improvement initiatives in analytics processes, tools, and data quality.
- 10% - Mentor and develop a high-performing analytics team.
- 5% - Manage vendor relationships and external reporting obligations
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.
Nearest Major Market: Bridgeport
Nearest Secondary Market: Danbury
Job Segment:
Analytics, Project Manager, Manager, Data Analyst, Management, Technology, Data