About The Position

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. The Role The Sr. Manager, Enterprise Data Strategy and Analytics partners with Xylem’s Record‑to‑Report (RTR) and Source‑to‑Pay (S2P) workstreams to ensure that all initiatives align with and advance Xylem’s enterprise data strategy. In this role, you will connect business leaders with the AI & Enterprise Data organization, accelerate adoption of analytics and AI capabilities, and drive measurable business impact across RTR and S2P operations.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 8+ years of experience in analytics, business intelligence, or data strategy.
  • 5+ years of experience in business relationship management, program management, or cross‑functional leadership.
  • Proven ability to lead and influence senior stakeholders across Finance, Procurement, and technology teams.
  • Demonstrated knowledge of Record‑to‑Report (RTR) and Source‑to‑Pay (S2P) processes.

Nice To Haves

  • Master’s degree in Data Science, Business Analytics, Information Systems, or a related field.
  • Experience deploying AI solutions within Finance or Procurement functions.
  • Background in enterprise data governance, data architecture, or data quality management.
  • Experience leading analytics and AI enablement or training programs.

Responsibilities

  • Serve as the primary liaison between RTR/S2P stakeholders and the AI & Enterprise Data team to ensure analytics and AI initiatives support organizational goals.
  • Lead the execution of Xylem’s Data Strategy and Roadmap for the RTR and S2P process areas.
  • Build strong partnerships across Finance and Procurement to ensure AI and analytics solutions deliver meaningful business outcomes.
  • Collaborate with business leaders to identify, evaluate, and prioritize high‑value opportunities for data‑driven insights and advanced analytics.
  • Translate business objectives into actionable AI, data, and analytics initiatives with measurable outcomes.
  • Lead and deliver programs that expand AI, data, and analytics literacy through training, enablement, and change management.
  • Drive adoption of self‑service analytics tools and AI‑powered solutions to empower RTR and S2P teams.
  • Promote best practices in data visualization, predictive modeling, and applications of generative AI for business problem‑solving.
  • Support enterprise data governance by championing data quality, security, stewardship, and compliance across analytics initiatives.
  • Advocate for standardized tools, processes, and delivery methodologies across all analytics and AI projects.
  • Provide actionable insights and recommendations to support continuous improvement and innovation within RTR and S2P processes.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service