Data Steward

Enterprise Application Data Steward Location: Remote or Atlanta hybrid Job Summary The Enterprise Application Data Steward is responsible for ensuring the quality, integrity, consistency, and governance of data across enterprise systems that support corporate functions. This role partners with business stakeholders, application owners, IT teams, and data governance leaders to define data standards, monitor data quality, resolve data issues, and promote effective data management practices. The Data Steward helps ensure that critical corporate application data is accurate, accessible, compliant, and aligned with organizational policies and business needs. The role requires strong experience in banking data, data warehousing, and data governance, along with the ability to independently manage timelines, competing priorities, and senior‑level stakeholder relationships in a highly collaborative environment. Job Duties and Responsibilities • Provides technical expertise and supports activities related to data architecture for reporting services, and design expertise in data warehouses, data marts, and business intelligence enterprise reporting. Identifies ways to increase the use of business intelligence within the firm, designing end-to-end business intelligence solutions that provide insights and information for key decision-makers. • Ensures alignment with Synovus business architecture and strategy. Participates in and supports new business intelligence initiatives related to supported business area. Participates in meetings with managers and subject matter experts to define and gather requirements and overall objectives. • Works cross functionally with varying data owners across the organization to support the implementation of processes and procedures to ensure that governance, stewardship, transparency and control of Synovus data assets is maintained at all times. • Participates in testing of appropriate toolsets for data governance processes. Builds an enterprise data asset map and data dictionary. Works with Engineering to establish gating, data utilization policies, and external agency guidelines. • Executes system testing. Participates in the analysis and reconciliation of data and reporting projects and initiatives delivery. Maintains and reports all relevant product, site and customer metrics and applies findings to develop appropriate goals and projections. Creates documentation on data requests as they are fulfilled to include validation, testing and user acceptance. • Identifies opportunities for Master Data Management to standardize data definitions. Implements accurate and complete metadata. Identifies and exploits opportunities for enhanced Business Intelligence that align with the company's business architecture and strategy • Serves as a liaison between internal business customers and Information Technology on tactical projects building a close working relationship with all partners. Participates in new business intelligence initiatives related to the supported business area. Participates in meetings with managers and other subject matter experts to define and gather requirements and objectives. • Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion. • Performs other related duties as required. The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Must-Have Candidate Profile Recruiters should prioritize candidates with: 1. Banking or financial services data experience Look for candidates from banks, fintech, payments, insurance, credit unions, wealth management, commercial banking, retail banking, risk, finance, reconciliation, or regulatory reporting. 1. Data governance and data stewardship experience Must understand data quality, data ownership, metadata, data lineage, data definitions, data dictionary, data asset mapping, governance controls, stewardship, and issue remediation. 1. BI, reporting, and data warehouse background The role asks for experience supporting data architecture for reporting services, data warehouses, data marts, business intelligence, and enterprise reporting. 1. SQL and reporting tools Required tools include SQL Server, SSRS, Tableau, or similar reporting/visualization tools. SQL should be mandatory for screening. 1. Business-facing communication This person will work with managers, SMEs, data owners, IT, engineering, and business teams, so strong communication and documentation skills are required. 1. Application data experience Preferred application areas include Marketing, Finance, HR, Salesforce, Risk, Enterprise Content Management, Operations, and Reconciliation.