Program Manager - Data Governance

Logic20/20Charlotte, MI
1d

About The Position

We’re a ten-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. About the team The Logic20/20 AI & Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." – Adam Cornille, Managing Director, AI & Analytics Job Description As a Program Manager, you'll lead cross-functional execution of a new enterprise data governance framework and standards of care, tracking policy adherence deliverables, prioritizing risk management, and driving timely delivery for our enterprise client. The ideal individual combines strong program/project management expertise with practical, hands-on data governance experience, particularly in metadata, data lineage, and data quality.

Requirements

  • 8+ years of project/program management experience in enterprise environments, with a track record of complex, multi-stakeholder execution.
  • Experience supporting data governance projects.
  • Financial services or regulated industry experience.
  • Proven ability to lead cross-functional teams without direct authority, demonstrating strong facilitation, negotiation, and stakeholder management skills.
  • Experience with risk management practices (issue/defect coordination, policy adherence monitoring, controls testing, regulatory expectations).
  • Strong analytical and synthesis skills; ability to translate technical and policy requirements into clear plans, deliverables, and executive narratives.
  • Proficiency with PM tools and collaboration platforms (e.g., Jira/Confluence, Smartsheet/MS Project, PowerPoint, Excel, Teams).
  • Excellent written and verbal communication, adept at concise, actionable status reporting and executive storytelling.

Responsibilities

  • Lead wave execution across business lines, coordinating plans, timelines, dependencies, and delivery milestones.
  • Facilitate structured communication and collaboration across mutually agreed stakeholder groups (business, data governance, risk, audit, technology) to reinforce policy and standards of care expectations and requirements.
  • Drive adoption of data governance framework components, including RCSA controls, critical data element definitions, lineage diagrams, and data quality monitoring routines.
  • Produce weekly status reporting, synthesize updates across implicated teams, track progress vs. plan, surface blockers, and recommend mitigation actions with owners and due dates.
  • Manage risks, issues, and decisions (RAID) by maintaining logs, performing root cause analysis for delays or defects, and escalating as needed with clear impact/priority.
  • Support Data Governance Policy/Standard Adherence Monitoring by ensuring teams understand and implement required processes and controls, document evidence and outcomes.
  • Coordinate post-execution QC testing and sampling routines, partner with quality control teams to validate outcomes, and remediate gaps.
  • Align execution with enterprise data governance program routines (roadmap, wave governance cadences, project management standards) and contribute to continuous improvement of processes, risks, and controls.
  • Prepare and deliver executive-ready communications like dashboards, board/risk committee updates, strategic initiative status, and regulatory coordination artifacts.
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