Technical Data Steward Manager leading data lineage ingestion and validation at Truist Financial Corporation. Collaborating with multiple teams to ensure data integrity across enterprise platforms.
Responsibilities
Responsible for leading the ingestion, validation, and presentation of Data Lineage across Truist’s Enterprise Lineage platforms.
Coordinating with Business Data Stewards (BDS), Technical/Data Platform teams, and Enterprise Infrastructure partners to enable automated lineage capabilities, capture and integrate manual lineage, ensure completeness and accuracy, and support root‑cause analysis to resolve lineage issues.
Accountable for managing and aligning diverse team capabilities to meet Data Lineage requirements defined in enterprise policy and driven by business-specific use cases across multiple lines of business.
Enabling and maintaining core Data Management capabilities related to Data Lineage—including lineage reviews, ongoing monitoring, and execution of lineage‑related controls.
Developing and delivering Data Lineage reporting and visualizations to support business use cases, regulatory requirements, and audit needs.
Requirements
5-7 years’ experience managing data stewards, software engineers, data engineers, and/or systems analysts.
Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions.
Excellent communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services.
Significant knowledge of current and emerging application software products and tools.
Extensive project management experience to include multi-million dollar projects completed on time, within budget and delivering quality results.
Strong analytical and architectural skills.
Ability to manage a high volume of internal client relationships.
Knowledge of all phases of software engineering life cycle and experience with process improvement models.
Bachelor’s degree in business analytics, computer science, Information Technology, or a related field (preferred).
Advanced knowledge of one or more Data Lineage tools and metadata platforms, such as Collibra, Informatica EDC, MANTA, Solidatus, MHUB, or equivalent enterprise lineage technologies (preferred).
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