Sr. Manager - Data Strategy & Analytics; SAM

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 Sr. Manager, Enterprise Data Strategy and Analytics partners with Xylem’s Service & Asset Management (SAM) work streams to ensure that all initiatives align with the enterprise data strategy. In this role, you will connect SAM business stakeholders with the AI & Enterprise Data organization, drive adoption of analytics and AI capabilities, and deliver measurable outcomes that enhance service operations and asset performance.

• Serve as the primary liaison between SAM 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 Service & Asset Management process area.
• Build and sustain strong partnerships with SAM leaders to ensure AI and analytics solutions translate into tangible business impact.
• Collaborate with business partners to identify, assess, and prioritize high‑value opportunities for data‑driven insights and advanced analytics.
• Translate SAM business needs into actionable AI, data, and analytics initiatives with clearly defined and measurable outcomes.
• Lead programs that strengthen AI and analytics literacy across SAM through training, enablement, and change management.
• Drive adoption of self‑service analytics tools and AI‑powered solutions that empower frontline teams and streamline decision‑making.
• Promote best practices in data visualization, predictive modeling, and generative AI applications aimed at improving service operations and asset lifecycle performance.
• Support enterprise data governance by championing data quality, data security, and compliance across all analytics initiatives.
• Advocate for standardized delivery methodologies, processes, and tools across analytics and AI projects.
• Provide actionable insights and recommendations to fuel continuous improvement and innovation in SAM workflows.

• 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 roles.
• 5+ years of experience in business relationship management, program management, or leading cross‑functional initiatives.
• Proven ability to influence and collaborate with senior stakeholders across technical and operational teams.
• Demonstrated knowledge of Service & Asset Management (SAM) processes.

• Master’s degree in Data Science, Information Systems, Business Analytics, or a related field.
• Experience applying AI or advanced analytics within service operations or asset‑intensive organizations.
• Background in enterprise data governance, data architecture, or data quality management.
• Experience building and delivering analytics or AI training and enablement programs.

The physical demands described here are representative of those required to perform the essential functions of this job. Reasonable accommodations may be made for individuals with disabilities.

The work environment characteristics described here represent those an employee encounters while performing essential duties. Reasonable accommodations may be made for individuals with disabilities.

Occasional travel may be required (approximately 10–20%) based on business needs and collaboration with global SAM teams.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and…