Director, Data Management and Analytics

Xylem•Charlotte, NC

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: Xylem is seeking a Director, Data Management and Analytics to lead the enterprise strategy for data architecture, data integration, governance, and advanced analytics. This leader will shape and execute the vision for managing data as a strategic asset and enabling the organization’s AI & Analytics objectives. The Director will partner closely with business and technical stakeholders to ensure data is discoverable, trusted, compliant, and positioned to accelerate digital transformation. In this role, you will oversee the design and delivery of certified data models, reports, and dashboards, while building and mentoring high-performing teams across data engineering, business intelligence, and analytics.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field
10+ years of experience in data management and analytics roles, including 5+ years in leadership positions
Expertise in data modeling, architecture, ETL, and analytics
Strong experience with cloud platforms (Azure preferred) and modern data tools (Azure Data Factory, Databricks, Power BI)

Responsibilities

Define and implement enterprise-wide data management strategies aligned to Xylem’s business goals, technology roadmap, and AI & Analytics objectives
Design and maintain scalable, reusable data architecture supporting cross-functional use cases
Ensure seamless data integration across the application landscape
Establish and manage data governance policies, processes, and standards
Implement data profiling, cleansing, validation, and reconciliation practices
Define and monitor KPIs to ensure data accuracy, consistency, trust, and reliability
Ensure metadata management, cataloging, and lineage transparency
Design and develop certified data models for use by citizen developers
Develop scalable, user-friendly certified reports and dashboards
Translate business requirements into operational analytics capabilities
Partner with Program Management to align and deliver target AI & Analytics outcomes
Implement scalable security architectures enforcing least-privilege access
Ensure regulatory compliance across data handling and analytics platforms
Collaborate with cybersecurity and compliance teams to mitigate enterprise risk
Build, lead, and mentor high-performing data engineering, BI, and analytics teams
Foster a culture of innovation, continuous improvement, and data literacy
Partner with IT, cybersecurity, compliance, and business leaders to ensure data initiatives are aligned and fully integrated
Perform additional duties as required based on organizational needs