Manager, Operations and Data Analytics, North America

The Manager
Operations Performance and Data Analytics, North America is a key leader within the Global Operations (COO) function, driving regional performance through data‑driven insights. This role leads a team of BI and Reporting Analysts, partners cross‑functionally on strategic initiatives, and delivers analytics that enhance business efficiency, performance, and decision‑making. You will shape scalable reporting, analytics frameworks, and automation solutions to maximize operational impact and stakeholder value.

This is a US remote based position. Candidates must currently reside in select U.S. states where we are authorized to hire and be legally eligible to work in the US. Current or future sponsorship is not available.

Florida, Georgia, Maryland, North Carolina, Texas, Virginia, Illinois, Kentucky, Minnesota, South Carolina, and Tennessee.

This role bridges global data strategy and regional delivery, ensuring consistent, high‑quality insights while developing a strong, engaged analytics team.

• Lead, coach, and develop a high‑performing analytics team, fostering a collaborative culture and serving as the escalation point for complex analysis and stakeholder engagement.

• Drive end‑to‑end analytical strategy and delivery across the customer journey, providing actionable performance insights to business leaders and advise on what actions impact KPIs.

• Own standardized regional and global reporting frameworks, improving automation, scalability, and speed‑to‑insight while reducing manual effort.
• Partners with global and regional stakeholders to enable modern analytics solutions, including AI, automation, and advanced BI capabilities.
• Manage the regional Power BI environment, including governance, access, refreshes, and alignment with global configurations. Support in the transition of a fully globalized reporting landscape.
• Oversee integration of enterprise source systems into reporting architecture and lead reporting transitions driven by system or business changes.

• Collaborate cross‑functionally to consolidate data, build trusted partnerships, and deliver enterprise‑level operational insights.

• Ensure consistency of reporting by aligning regions to global frameworks and KPI standards while enabling appropriate local customization.

Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics, and cloud‑based tools, using insights responsibly and in alignment with our standards for data governance, security, and ethical use.

• Bachelor’s or master’s degree in data Analytics, BI, Computer Science, or related field.
• 7+ years in analytics or data strategy,
• 3+ years lead or people leadership experience preferred
• Advanced Power BI expertise, including development, automation, and workspace governance.
• Strong SQL (Oracle preferred) and Python skills for advanced analytics and automation.
• Proven leader of high‑impact analytics teams and cross‑functional initiatives.
• Basic understanding of IT architecture, ETL processes and data flows.
• Strong stakeholder management, translating business needs into data‑driven solutions.
• Experienced in complex project delivery and presenting insights to diverse audiences.
• Experience in a multi‑cultural global organization preferred.
• Fluent in English; additional languages a plus.

Annualized base pay range is $83,700 - $122,500 USD. Actual base pay may vary based upon factors such as relevant experience, qualifications, internal equity of peers, and geographic location. Employees may also qualify for performance‑based bonuses, merit increases, and other incentives based on individual and company performance. The availability and amount of these additional compensation elements are determined by company policy and may vary.

We offer a comprehensive benefits package that includes health, dental, and vision insurance, retirement savings plans, paid time off, and other employee programs. Eligibility for benefits is subject to plan terms and conditions, and may vary based on position and/or employment status.