• Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems • Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs • Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs • Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly • Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations • Mentor other associate and intermediate data engineers as needed

• Lead the technical onboarding of partner institutions onto UDTS, designing and building the integrations (APIs, pipelines, etc.) needed to connect their existing data systems for seamless ingestion. • Collaborate on-site with institutional data teams to configure and customize UDTS front-end dashboards — working through requirements like which fields to surface, how data should aggregate, and how to make the platform most relevant to each institution's specific workflows and users. • Support institutions in securely sharing data and implementing governance protocols. • Communicate technical requirements, timelines, and processes with external partners in accessible, solutions-oriented ways — and bring the patience and people skills to make those conversations productive. • Design, build, and maintain scalable data pipelines and architectures to support education-focused data products. • Develop robust APIs and integrations to facilitate seamless data exchange across multiple institutional systems and data providers. • Optimize data ingestion, transformation, and validation processes for reliability, transparency, and performance. • Ensure all data systems comply with DataKind’s governance, privacy, and security standards. • Produce clear, reusable code and comprehensive documentation for both technical and non-technical audiences. • Collaborate with team members within the technology team to set engineering standards and guide data infrastructure strategy. • Partner with data engineers and scientists to operationalize models and analytics pipelines into production-ready systems. • Collaborate with Customer Success, Research, Product, and Implementation teams to ensure technical design aligns with user and partner needs. • Contribute to the continuous improvement of internal tooling, workflow automation, and best practices.

• Define and implement enterprise data architecture aligned with business and investment strategies. • Design scalable, secure, and high-performance data models and frameworks. • Establish data governance, standards, and best practices across the organization. • Lead data platform modernization and cloud adoption initiatives. • Develop and maintain robust ETL/ELT pipelines using Informatica IICS. • Build and optimize data solutions on Snowflake for performance and scalability. • Ensure data quality, integrity, and reliability across pipelines. • Engage with business users (finance, investment, and operations teams) to gather and refine requirements. • Translate business needs into scalable technical solutions and data models. • Collaborate with BI and analytics teams to enable reporting and insights. • Provide technical leadership and mentor engineering teams.

Company / Location Information A.O. Smith is a global leader applying innovative technologies and energy-efficient solutions to products manufactured and marketed worldwide. The company is one of the world’s leading manufacturers of residential and commercial water heating equipment and boilers, as well as a manufacturer of water treatment products for residential and light commercial applications. A. O. Smith is headquartered in Milwaukee, Wisconsin, with approximately 12,000 employees at operations in the United States, Canada, China, India, Mexico, the Netherlands, and the United Kingdom. Please Note: At this time, we are unable to provide visa sponsorship for this role. Candidates must be authorized to work in the United States without sponsorship now or in the future. Primary Function The Data Governance Lead is responsible for creating and ensuring adherence to data governance policies, standards, practices, and procedures. The Data Governance Lead will play an integral role in defining data governance in support of business and data strategy initiatives. The incumbent will work closely with process teams, systems integrators, and developers to identify requirements and define governance solutions for all data areas. This role will be part of a cross-functional team for data governance spanning metadata management, regulatory compliance, data quality, and data security initiatives to help implement governance processes across our data ecosystem. You will directly contribute to the success of our data strategy by working cross-functionally with data, legal, marketing, engineering, information security, operations, back-end services, and front-end technology teams to drive our governance strategy across our global footprint ensuring quality data that is both secure and compliant with internal and external guidelines Responsibilities - Establish, lead, and mature Executive, Enterprise, and Domain-Level Data Governance Councils, ensuring structured decision-making, policy enforcement, issue escalation, and measurable data quality improvements across business domains. - Support metadata management processes and standards across all data domains to ensure data integrity and standardization - Promote a culture of data governance by developing partnerships with data owners and stewards to promote data governance best practices - Represent the team in discussions with technical and business stakeholders globally as a subject matter expert on our toolkit and roadmap for data protection and consent management. - Understand business requirements, translating them into actionable specifications including how data should be governed - Help implement data governance performance and standards, while developing and implementing operating plans to achieve those standards via audits, automation and processes - Work with lines of business to identify and solve data integrity and quality issues, recommend data quality improvement opportunities, and establish metrics for tracking performance of critical data elements - Build Frameworks for Data Governance, Data Quality and Data Stewardship efforts - Provide data management and governance guidance and best practices for Modern technologies like Big Data and Cloud technologies. - Represent the team in discussions with technical and business stakeholders globally as a subject matter expert. - Help implement data governance performance and standards. - Work with lines of business to identify and solve data integrity and quality issues and recommend data quality improvement opportunities. Qualifications - Bachelor’s Degree in Information Technology, Computer Science, or related degree with IT Experience or professional related work experience can be substituted in lieu of degree. - 5+ years of total Data Governance and Business experience. Experience in a manufacturing environment is preferred. - 3+ years managing an enterprise-wide data quality program - Experience with enterprise Data Governance tools such as Informatica, IBM Cloud Pak for Data, or Collibra to support metadata management, lineage, cataloging, and workflow automation. - Knowledge of and alignment with the DAMA Data Management Body of Knowledge (DMBoK) framework to guide governance practices, processes, and standards. - Strong sense of ownership over deliverables, as this role will have end-to-end responsibilities for certain data products - Good skills and knowledge of facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency. ADDITIONAL QUALIFICATIONS: - Proven ability to lead through influence. - Strong understanding of data, data flows and how data supports various business processes in a manufacturing/supply chain environment - Understanding of data quality and data risk management, including understanding of standards, methods, processes, tools, and controls We Offer Competitive compensation package and comprehensive benefits plans which include medical and dental insurance, company-sponsored life insurance, retirement security savings plan, short- and long-term disability programs and tuition assistance. #LI-Remote #LI-AO ADA Statement & EEO Statement In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.