Data Steward

Role Description

The Data Steward is responsible for ensuring the quality, integrity, and appropriate use of data across the organization. This role plays a key part in supporting enterprise data governance initiatives by executing day-to-day stewardship activities, which may span master data, transactional data, and reference data. The Data Steward collaborates with both business and technical teams to ensure trusted and well-governed data assets are available for critical decision-making.

Duties and Responsibilities

• Review and validate enterprise data to ensure completeness, accuracy, and alignment with defined data standards.
• Identify, investigate, and resolve data quality issues including duplicates, inconsistencies, and missing or invalid values.
• Collaborate with business users and data analysts to refine data requirements and enforce data standards.
• Participate in data quality reviews and assist with implementing corrective and preventative actions.
• Manage stewardship workflows for data quality exceptions, including tasks related to matching, merging, or enrichment.
• Support onboarding and validation of new data sources across transactional and reference systems.
• Partner with data governance council to maintain and enforce policies related to data access, lineage, classification, and quality.
• Document business metadata, data definitions, and stewardship procedures.
• Assist with data profiling and root cause analysis across operational and analytical datasets.
• Use tools such as Excel, SQL, and MDM or data quality platforms (e.g., Reltio) to monitor and manage data quality.
• Provide support for data audits, regulatory reporting, or operational processes dependent on high-quality data.
• Communicate with cross-functional stakeholders to resolve data issues and gather feedback.
• Stay current on data governance and stewardship best practices, especially in regulated industries such as healthcare.
• Perform other related duties as assigned by management.

Qualifications

• Education:
  • 5+ years of relevant experience with enterprise data, assessing data quality, and collaborating with business users on data workflows.
  • Bachelor’s degree in Business, Information Systems, Health Informatics, or a related field; or equivalent work experience.
• Technical Skills:
  • Familiarity with data quality, stewardship, or MDM tools (e.g., Reltio, Informatica, Talend).
  • Basic understanding of data matching, normalization, and cleansing processes.
  • Proficiency with Microsoft Excel; working knowledge of SQL or business intelligence tools is a plus.
• Other Skills:
  • Strong attention to detail and a process-oriented mindset.
  • Clear written and verbal communication skills.
  • Ability to interpret business requirements and translate them into data rules or checks.
  • Comfortable collaborating across departments in a dynamic environment.

Competencies

• Attention to Detail: Carefully reviews and validates data to maintain high standards of accuracy.
• Data Literacy: Understands how data is structured, used, and governed within enterprise systems.
• Problem Solving: Diagnoses root causes of data issues and participates in developing solutions.
• Collaboration: Works well with others to resolve shared data challenges.
• Accountability: Takes ownership of data quality tasks and follows through on assigned responsibilities.
• Adaptability: Adjusts quickly to changes in tools, processes, and priorities.
• Integrity: Maintains confidentiality and supports ethical data use.

Benefits

• Supportive, progressive, fast-paced environment.
• Competitive pay structure.
• Matching 401(k) with immediate vesting.
• Medical, dental, vision, life, & short-term disability insurance.