Data Management Program Manager

• Support execution and coordination of data governance and regulatory uplift initiatives.
• Track project milestones, deliverables, risks, issues, and dependencies across multiple workstreams.
• Coordinate with delivery teams and stakeholders to gather status updates and maintain program reporting.
• Prepare concise summaries, dashboards, and meeting materials for leadership reviews.
• Support governance meetings, working groups, and action item tracking.
• Assist in organizing and maintaining program documentation, plans, and decision logs.
• Collaborate across teams to collect information, resolve blockers, and improve coordination.
• Ensure timely follow-up on actions and commitments across stakeholders.
• Help drive consistency in program execution and communication.

• 4-7 years of program management, project management, or PMO experience, preferably within Data Management, Data Governance, Risk, or Regulatory initiatives.
• Basic understanding of enterprise data management and governance concepts.
• Familiarity with areas such as Data Governance, Data Quality, Metadata Lineage, Data Controls, and Regulatory Data Programs.
• Strong organizational and coordination skills with the ability to manage multiple priorities.
• Strong written and verbal communication skills.
• Ability to work effectively across business and technology teams.
• Self-starter with a proactive mindset and strong attention to detail.
• Ability to operate in a fast-paced environment with evolving priorities., * Experience within banking or financial services organizations.
• Exposure to regulatory or remediation programs.
• Experience preparing executive status reporting and program dashboards.
• Familiarity with tools such as JIRA, Confluence, Excel, PowerPoint, and SharePoint.

Skills:

• Data Governance Program Coordination.
• Project Tracking.
• Status Reporting.
• Cross-Team Communication.
• Alignment.

Qualification And Education:

• Strong coordinator and communicator who can keep teams aligned.
• Organized and execution-focused with good follow-through.
• Comfortable working across multiple stakeholders and workstreams.
• Curious, adaptable, and eager to learn enterprise data management practices.
• Able to balance structure, collaboration, and problem-solving in a dynamic environment.