Job SummaryThe Strategic Finance Data Steward serves as the senior data partner to the Strategic Finance organization, ensuring data used for performance measurement is well-defined, governed, documented, lineage-traceable, and delivered on time.
This role provides thought leadership and execution oversight across Databricks usage, dataset documentation, and data prioritization, acting as the primary bridge between Strategic Finance stakeholders and enterprise data teams. The steward translates business needs into clear data requirements, manages priorities and expectations, and ensures governance standards are embedded upstream-without owning engineering delivery or system operations.
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.
Minimum Education:- Bachelor's degree in computer science, information systems, or a related field or an equivalent combination of education and experience.
Minimum Experience:- Five years of experience in Information technology including collecting business requirements related to usage of data, performing data mapping and conducting data quality assessments and developing, utilizing and writing new automation.
Required Knowledge, Skills, & Abilities:- Understanding of reporting and/or visualization tools (e.g., Tableau, SSRS, SQL Server)
- Knowledge of a variety of technologies, data models, and insights across all relevant data sources
- Understanding of Governance principles
- Understands concepts like data mining, extraction and analysis as it pertains to a specific bank pillar (e.g., Commercial, Retail, Wealth)
- Analytical and critical thinking skills
- Ability to quickly shift between technology stacks
- Ability to mentor and train team members
- Strong verbal and written communication skills
