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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in risk management, data governance, and compliance within complex financial environments, with a strong focus on data architecture and analytics. Proven ability to lead teams, influence stakeholders, and develop effective risk oversight strategies across enterprise data platforms.
Highest-signal resume keywords
Risk ManagementData GovernanceData AnalyticsData ComplianceLeadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Risk OversightRisk Controls Framework DevelopmentData ManagementData ArchitectureTechnical Data ControlsData Lifecycle ManagementControl Effectiveness EvaluationData Risk MitigantsData Quality AssessmentData Reporting
Soft Skills
Interpersonal SkillsCommunication SkillsProblem SolvingCritical ThinkingDecision-Making
Tools & Technologies
SnowflakeSASDatabricksGovernance Risk Compliance PlatformsCloud-Based Data Architectures
Industry Keywords
BankingFinancial Data ManagementRegulatory ComplianceEnterprise Data Management PolicyData Privacy
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead senior-level risk oversight and insight for implementation of the LoD2 Enterprise Data Risk Oversight Program
- Provide technically informed risk oversight of data platforms, data architecture, artificial intelligence, Generative AI, and Agentic AI
- Anticipate emerging-technology impacts on enterprise risk and translate insights into oversight strategy
- Build technical fluency and capability across the Enterprise Data Risk Oversight team
- Lead credible effective challenge, independent risk assessment, and risk advisory activities
- Evaluate technical data risk mitigants across the data lifecycle and assess controls for data protection, privacy, use, retention, storage, resiliency, deletion, lineage, quality, and recovery
- Partner with the Enterprise Data Office, Corporate Function Data Executive Leaders, Data Stewards, and senior stakeholders
- Lead execution of the EDRO Coverage and Operating Model
- Provide input into Enterprise Data Management Policy, Enterprise Data Risk Policy, standards, and procedures
- Lead stakeholder engagement, communication, education, and achievement of program goals
- Advise the Enterprise Data Office while maintaining 2LOD independence
- Execute EDRO strategic and tactical plans and coordinate with senior stakeholders
- Ensure compliance with applicable laws, regulations, policies, standards, and procedures
- Lead issue management and remediation aligned with the Enterprise Issue Management Program
- Develop data-risk reporting and metrics
- Promote Truist’s risk culture and remediation accountability
- Provide risk advisory and serve as the EDRO 2LoD point of contact for data-risk areas
- Support regulatory matters planning and remediation
- Lead independent evaluation of technical controls across enterprise data platforms, applications, AI solutions, and data supply chains
- Provide effective challenge on control design and operating effectiveness, risk indicators, monitoring, testing, and measurement frameworks
Requirements
What you’ll need- Bachelor’s degree in technology, Data, Business and/or Finance
- Fifteen plus years of senior management experience in banking, technology, operations, risk management and/or regulatory agencies
- Ten plus years of data management, governance, analytics, testing and/or risk management experience
- Strong experience and understanding of risk and controls framework development, management, and measurement
- In depth experience with Application, Process, Risk and Control mapping in a complex financial data management system
- Strong senior leadership, influencing, business acumen, management, problem solving, critical thinking, prioritization, and decision-making skills
- Excellent interpersonal and communication skills
- Ability to lead and manage a team, including identifying and recruiting talent, managing performance, and resource allocation
- Functional and technical knowledge of Data Management, Data Analytics and Data Risk and Controls frameworks across data supply chains
- Ability to lead and manage effectively in a highly matrixed and complex environment and deliver executive-level work products
- Demonstrated change leadership abilities and skills
- Working knowledge of enterprise data platforms and analytical tools such as Snowflake, SAS, Databricks, or comparable environments (preferred)
- Familiarity with cloud-based data architectures and modern data engineering practices (preferred)
- Master’s degree in business and/or Technology (preferred)
- Data compliance knowledge/experience regarding applicable laws, rules, and regulations (preferred)
- Experience working with third parties, including vendors and onshore/offshore partners (preferred)
- Familiarity with Governance, Risk and Compliance platforms such as Archer (preferred)
- Experience designing, implementing, overseeing, or assessing technical data controls (preferred)
- Understanding of technical data-risk mitigants including encryption, tokenization, masking, key management, access controls, segmentation, monitoring, data loss prevention, lineage management, reconciliation, validation, and automated control monitoring (preferred)
- Experience evaluating control effectiveness through metrics, monitoring, testing, and risk-based assessments (preferred)
- English language fluency required
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Accidental death and dismemberment coverage
- Tax-preferred savings accounts
- 401k plan
- No less than 10 days of vacation during the first year of employment, prorated as applicable
- 10 sick days, prorated as applicable
- Paid holidays
- Defined benefit pension plan (depending on position and division)
- Restricted stock units (depending on position and division)
- Deferred compensation plan (depending on position and division)