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Business Data Governance Lead
2 months ago
Truist Inc is seeking a highly skilled Business Data Governance Lead to join our team in the Finance department. As a key member of our organization, you will be responsible for managing business-critical processes across a line of business or corporate function.
Key Responsibilities- Data Governance
- Oversee critical data elements (CDEs) within assigned Data Domains and enterprise-wide coordination of Data Domain-related activities.
- Define and validate business-critical processes and associated CDEs that support them.
- Define Data Quality rules and standards for corresponding Business Unit or Corporate Group.
- Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and Data Domain Working Group to align Data Quality rules and standards.
- Onboard new CDEs and business metadata.
- Update central metadata repository with business metadata content.
- Define Data Privacy rules and align them with the Enterprise Privacy Policy.
- Define archiving, retention, and data destruction requirements for CDEs.
- Define Data Privacy rules and align them with the Enterprise Privacy Policy.
- Monitor data security for data elements.
- Equivalent combination of advanced education and related experience.
- Ability to translate enterprise-level strategic planning information into software and data management needs.
- Executive-level communications skills.
- Significant knowledge of current and emerging application software products and tools.
- Extensive project management experience.
- 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.
- Proven experience in a senior leadership role, preferably in a financial institution with a focus on financial crimes prevention.
- Extensive knowledge of Data and Analytics, including emerging trends.
- Strong understanding of banking operations, risk management, and regulatory compliance.
- Excellent leadership, communication, and interpersonal skills.
- Project management experience and proficiency in managing budgets.
- Familiarity with machine learning, data analytics, and artificial intelligence in financial institutions.
- Banking or financial services experience, especially in a particular niche area.