Data Steward

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.

• 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

This job has no direct supervisory responsibilities.

• 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

• 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

The above is intended to describe the general content and requirements for this position. It is not to be construed as an exhaustive list of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

• 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…