Data Steward Hiring ASAP

AssistRx•Maitland, FL

About The Position

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.

Requirements

Bachelor’s degree in Business, Information Systems, Health Informatics, or a related field; or equivalent work experience.
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.
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.

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.