Data Governance Consultant - Authorized Provisioning Point

Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

The Data Governance Consultant is responsible for supporting Data Governance across the enterprise, enabling business growth while ensuring compliance with risk and regulatory expectations. The position partners with various business and technology stakeholders to influence and drive adoption of related Enterprise Data Management strategies, policies, standards and control frameworks. The role evaluates established and emerging data practices and technologies to drive the team's direction, while implementing innovative processes and solutions to provide competitive advantage while meeting rigorous control and oversight mandates.

For this opportunity:
Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

Support the enterprise Authorized Provisioning Point / Authorized Data Source program within the AI & Data Organization. Support the definition of a data domain based model, partner with stakeholders across architecture, technology delivery, and the LOB to define strategies and implementation roadmaps to bring the program into reality. Support program execution and asset certification. Draft and maintain corresponding policies, frameworks, standards, and procedures.

Support data-products strategy and intersection with enterprise ontologies. Support the definition and implementation of an operating model to cover data asset ownership and data stewardship. Support the implementation of core data management and governance capabilities against identified data assets.

• Develop and maintain policies, standards and technology in support of enterprise Data Governance. Create and implement processes and procedures to support data standards and control frameworks.
• Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management.
• Drive solution design and execution of multi-pronged data governance efforts that span across platforms and business/technology areas to address enterprise data needs.
• Implement strategic data governance capabilities by working with business and technology partners to document requirements and create action plans.
• Perform oversight and inspection of critical data management practices for adherence to established data policies and control frameworks.
• Identify data issues and work with technology, risk and business partners to triage, track, communicate, mitigate and remediate the issues to closure.
• Support the production of metrics and measures to track progress and adherence, escalating as needed to various committees for visibility and program accountability.
• Understand and integrate relevant regulations and industry trends into work plans, exploring emerging frameworks and assessing feasibility using proof of concepts.
• Collaborate closely with peer teams to ensure coordination, synergy and seamless overall execution.
• Champion and drive improvement in enterprise data management practices throughout the organization.

Required Qualifications:

Bachelor's degree in related field, eight years of experience in roles with increasing responsibilities in technology, data management, governance, risk or related practice or equivalent education and related training or experience.

• Experience with enterprise data governance platforms such as Collibra, Informatica Axon, Alation, Solidatus, or equivalent tools.
• Demonstrated ability to define and implement data governance operating models, including stewardship, ownership, and accountability structures.
• Working knowledge of cloud data ecosystems (e.g., AWS, Azure, Google Cloud), including data governance, data cataloging, and data security capabilities.
• Experience developing metadata…