
Data Management Lead
1 day ago
Join our innovative team to shape the future of data governance in Consumer & Community Banking. Unlock your potential by driving compliance and oversight in AI/ML technologies. Be at the heart of delivering customer-centric products and services.
Job Summary:
As a Data Management Lead within the Consumer & Community Banking (CCB) Data Use Council & AI/ML Governance teams, you will coordinate with requesters and Control Partners from Controls, Legal, Compliance, and Risk to evaluate data use requests and present assessments to the firm's Chief Data and Analytics Officer (CDAO). You will identify legal, contractual, operational, and reputational risks, focusing on AI/ML and emerging technologies. This role supports the CCB AI Governance Program Office, ensuring effective oversight of related Standards and Procedures.
Job Responsibilities:
- Build and manage a team responsible for supporting the Data Use Council, setting direction and acting as an escalation point for issues.
- Oversee AI/ML use cases for compliance, establishing robust governance structures.
- Collaborate with CDAO and stakeholders to implement monitoring systems and assess risks.
- Demonstrate leadership and communication skills, with a background in governance and controls.
- Prioritize AI data use requests against product roadmaps, key deadlines, project go-live dates, and risk assessments.
- Coordinate review with key stakeholders and senior management, presenting AI data request overviews and risks.
- Work with internal clients (Digital, Marketing, Consumer Banking, Modeling, and management) to evaluate data use requests and identify necessary business requirements, guardrails, conditions, or controls.
- Establish AI communication and documentation team practices, including governance procedures, business informational sites, and workflows.
- Establish enhanced AI Metric Reporting and Oversight, supporting quality control reviews.
- Partner with Control Management to implement enhanced GenAI Use Case monitoring.
Required Qualifications, Capabilities, and Skills:
- Experience building and managing high-performing teams.
- Strategic thinking and planning skills, with abilities to drive innovation.
- Highly developed analytical skills and excellent attention to detail.
- Ability to communicate ideas effectively, both orally and written, to employees and executives.
- Ability to meet deadlines and handle multiple priorities and projects effectively.
- Quality-focused work ethic, effectively responding to rapidly changing business needs.
- Proactive self-starter with leadership and interpersonal skills.
Preferred Qualifications, Capabilities, and Skills:
- Bachelor's degree in business, legal, decision science, data management, or related field with 5-7 years' experience in those fields.
- Experience with technical concepts and working with technical staff as needed.
- Knowledge of PII, metadata, and other data management concepts.
- Proficiency in Microsoft Word, Excel, PowerPoint, Outlook, Visio, SharePoint.
- Prior experience with Data Governance, Estimation/Modeling Development, Legal, Compliance, Privacy, Risk, Controls, or Audit
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