Sr Data Steward - Hybrid (Denver, Seattle, Fresno, Kennewick, Minneapolis)

The Senior Data Steward serves as a leading subject matter expert responsible for ensuring the highest level of data integrity, quality, and governance for assigned data domains (e.g., Customer, Item, Asset, Vendor, Organization). This role involves daily oversight of data quality, collaborating closely with cross-functional stakeholders to document definitions, procedures, issues, define business rules, and manage change requests. Key responsibilities include managing critical data inputs, designing and implementing Master Data Management (MDM) strategies, curating enterprise data dictionaries using relevant tools (e.g., Collibra, Alation), leading team members and leveraging SQL for data analysis and verification. The Steward will utilize MDM tools (e.g., Reltio) and workflow processes to maintain data accuracy and consistency. This position plays a critical role in leading the development and improvement of the Data Governance Office, aligning daily activities with its tiered structure to increase operational efficiency and strengthen overall data governance, ultimately providing excellent service to internal customers.

Key Skills and Abilities Include:

• 5+ years of business experience and expert level business understanding in assigned data domain

• Associate degree in relevant field of study or high school diploma/GED

• Strong analytical abilities with experience extracting data and developing reports in an ERP environment

• Mid-level or above proficiency with MS Office Excel, analyzing and manipulating large datasets

• Proficiency with SQL for data querying, data quality verifications and analysis of data within enterprise datastores

• Experience with leading data quality assessments, monitoring, and remediation techniques

• Familiarity with data modeling concepts is a plus

• Experience with and implementation of Master Data Management (MDM) concepts and tools (ex: Reltio) to ensure data accuracy and consistency

• Knowledge of and experience with management of data dictionary tools like Collibra, Alation, etc. for metadata management, data discovery and cataloging

• Experience with leading and mentoring data stewards

• Experience with automation of manual tasks to improve processes and workflows

• Ability to Lead cross-functional teams in data governance and facilitate data governance meetings and workshops

• Proactive approach to role and problem solving; solution rather than problem focused

• Organized methodical application of established data governance standards

• Able to work collaboratively and communicate effectively and positively with key stakeholders both within and outside of the data quality and governance team to get the job done

Key Personal Attributes Include:

• Aligns to company core values Integrity, Diversity, Effort, Accountability and Service

• Understanding of Data Governance Practices

• Eagerness to mentor and lead data stewards

• Understanding of how data is used to support business processes in a large ERP system

• Ability to interpret and define business rules for data from business requirements

• Exhibits a high degree of professionalism and a customer service mindset

• Inquisitive and thorough in approach

• Excellent attention to detail and accuracy; strong critical self-review skills

• Self-motivated, flexible, with the ability to deal with high levels of complexity, change and evolving processes, often at short notice

Specific Responsibilities and Key Deliverables Include:

• Understands the impact of master data within the organization and systems for applicable data domains.

• Help lead and champion the Data Governance Office to increase operational efficiency and strengthen data governance

• Lead, design and implementation of Master Data Management (MDM) strategies to maintain data quality rules and processes to ensure data accuracy and consistency

• Curate, maintain and set standards for enterprise data dictionaries, ensuring that data elements are accurately defined and documented

• Leads cross-functional teams in data governance and facilitate data governance meetings and workshops

• Lead initiatives that improved data quality year over year

• Collaborates with cross functional stakeholders to document definitions, procedures, issues, define business rules and change requests of specified data domains (Customer, Item, Asset, Vendor, Organization, etc.)

• Ensures the highest level of data integrity, governance, and service to internal customers

• Use workflow processes and user Interface Robots to format, approve and create new items in ERP Systems

• Responsible for the quality of a defined dataset on a day-to-day basis. In contrast, Data Owners are accountable for data quality but not daily activities. Data Stewards will draft and design the data quality rules by which their data is measured, and the Data Owners will approve those rules.

• Serve as the finger-on-keyboard subject matter expert that works with the data every day. They have a deep understanding of the meaning of the data and the impact to the business of changes to the data.

• Align quality standards and daily data activities with the tiered structure of the Data Governance program.

Performance Metrics:

Data Governance Leadership:

• Success in leading data governance standards, initiatives and projects

• Effectiveness in mentoring and developing other data stewards

• Positive feedback from team members and stakeholders on leadership and guidance

Strategic Impact:

• Measurable improvement in overall data quality across assigned domains

• Contribution to the development and implementation of MDM strategies

• Adoption and effective use of the data dictionary and other data governance tools

Process and Efficiency:

• Identification and implementation of significant process improvements

• Automation of manual tasks to improve efficiency

Data Expertise and Influence:

• Recognition as a subject matter expert in assigned data domains

• Influence on data-related decisions within the organization