ERP Data Lead

Watts Water Technologies•Andover, MA

1d•$169,000 - $184,000•Remote

About The Position

We’re Watts. Together, we’re reimagining the future of water. We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we support -- it's to provide safe, clean water for the world, and to protect our planet's most valuable resource. What we do: For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world. We are at the forefront of innovation, working with cutting-edge technology to provide smart and connected, sustainable water solutions for the future. Watts is a leading brand with a quality reputation — and we have a dynamic future ahead. Scope of Position Watts Water is seeking a seasoned ERP Data Lead to own the data architecture, integration to watts Data lakehouse, and lifecycle of ERP data across our SAP and various other ERP ecosystem. This role plays a critical part in enabling Watts’ enterprise data strategy by ensuring ERP data is structured, governed, and aligned with business processes and analytics platforms such as Databricks , Microsoft Azure and Power BI. You will act as the bridge between SAP systems, business functions, and analytics teams, enabling scalable, high-quality, and analytics-ready data across global operations. This position is remote based in the EST or CST time zone.

Requirements

Bachelor's degree in data science/analytics, information technology, computer science or similar
15+ years of experience in SAP data, ERP data architecture, and/or data engineering
Strong expertise in SAP ECC / S/4HANA data structures
Hands-on experience with SAP BDC and integration techniques
Deep understanding of ERP processes (O2C, P2P, Manufacturing)
Strong SQL and data modeling skills
Experience working in manufacturing or industrial environments
Commitment to Watts’ values of integrity, accountability, continuous improvement and innovation, and transparency.
Punctuality and dependability.
Ability to be flexible and adapt to changing work priorities and stressful conditions.
Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.
Maintain productive and collaborative relationships with other Watts employees.
Adherence to Watts’ seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action.
Ability to remain seated at a desk or workstation for extended periods.
Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods.
Ability to physically move around the office, organize or transport files, packages, or other office-related materials.
Ability to read documents, use a computer, and perform data entry tasks.
Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls.
Ability to operate standard office equipment such as computers, printers, phones, and copiers.
Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment.

Nice To Haves

Experience with SAP CDS Views, ODP, or BW
Exposure to Microsoft Fabric, Power BI, or Databricks
Experience in global ERP transformation programs
Familiarity with Master Data, Data governance, Data Quality and MDM collaboration models

Responsibilities

Define ERP (SAP) data strategy aligned with enterprise data & AI roadmap
Drive standardization of ERP data across global business units
Establish ERP data as a foundational layer for Databricks/Fabric Lakehouse and analytics platforms
Lead SAP data integration patterns including BDC, IDocs, APIs, CDS Views, and ODP
Ensure ERP data is modeled for downstream analytics (Power BI semantic models)
Partner with MDM Lead to enforce master data consistency across domains
Enable near real-time and batch data pipelines for operational and analytical use cases
Support S/4HANA transformation including data harmonization and migration readiness
Collaborate with ERP team to define ERP data quality rules, validation frameworks, and reconciliation processes
Collaborate with Master data & governance teams to align ERP data with enterprise data policies
Drive adoption of common data definitions across O2C, P2P, and Plan-to-Produce
Enable advanced analytics and AI use cases through high-quality ERP datasets