Lead BI Architect

**** 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.
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* 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
** This seasoned individual, as part of the Global Data & Analytics team within Information Technology, will lead the analytics roadmap, report development, and optimization of Watts’ enterprise data analytics ecosystem. The Lead BI Architect will play a critical role in driving Watts’ next-generation analytics platform, leveraging Power BI, Azure Fabric, Databricks, and the SAP ecosystem to enable advanced analytics, robust data models, artificial intelligence capabilities, and sustainable scalability across global business units.

This position is an individual contributor role with no direct supervisory responsibility.

This position reports to the VP, Global Data & Analytics. This role may be remote (EST/CST time zones only) or based in North Andover, MA, or Dallas, TX.
** Primary

Job Duties and Responsibilities
*** Define and implement enterprise analytics architecture strategies aligned with Watts’ initiatives to modernize data analytics and drive digital transformation across global business units.
* Lead the design and optimization of enterprise data models and analytics patterns across Watts business domains, including Supply Chain, Manufacturing, Sales, Marketing, and Finance.
* Drive the development, standardization, and optimization of enterprise reporting and analytics solutions to support scalable, high-performance analytics.
* Collaborate with cross-functional teams to design and deliver scalable analytics solutions and ensure consistent adoption of a unified analytics and data fabric.
* Design, document, and catalog enterprise business data domains and data definitions to support consistent analytics, reporting, and reuse.
* Establish and govern best practices for enterprise reporting, semantic data modeling, performance optimization, and user access to analytics and reports.
* Partner with business stakeholders to translate analytical and reporting needs into robust, scalable analytics solutions that support advanced analytics and decision-making.
* Guide the evaluation and adoption of modern analytics technologies, including Power BI, Azure Fabric, Databricks, and SAP-based analytics, to enable advanced analytics, AI/ML capabilities, predictive insights, and real-time reporting.
* Mentor junior analytics team members on BI architecture, analytics, and data modeling best practices.
* Assume responsibility for other projects and duties as assigned by Company management.
* Perform responsibilities in alignment with Watts values of Integrity, Accountability, Continuous Improvement, and Transparency.
* Travel Requirements:
Minimal travel, as required
** Required Qualifications
*** Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent relevant work experience).
* Minimum of 14 years of experience in data and analytics architecture, with a strong emphasis on business intelligence, semantic modeling, and enterprise analytics solutions.
* Deep hands-on expertise with Microsoft Power BI, including semantic models, DAX development, and performance tuning.
* Strong experience with ERP-centric data modeling and analytics, including SAP S/4

HANA or similar ERP environments.
* Advanced knowledge of dimensional modeling techniques, including Kimball methodologies and star/snowflake schemas.
* Strong proficiency in SQL and analytical query optimization.
* Proven experience supporting analytics solutions in manufacturing or industrial business environments.
* Expertise in data…