Data & AI Governance Operations Lead

PSECU • Harrisburg, PA

3d • Hybrid

About The Position

The Data & AI Governance Operations Lead owns the operating mechanics of data and AI governance. The role runs the intake process, maintains the AI/model inventory, coordinates the Enterprise AI Strategy & Governance Council and AI Risk review inputs, assembles readiness packets, maintains decision logs, coordinates the data governance operating rhythm, and tracks follow-up through closure. The role is the senior governance operator who prepares the work before the Lead Data & AI Architect makes the technical call. It does not own technical approval, architecture approval, security approval, independent model validation, vendor configuration, business prioritization, or final go/no-go authority. This role ensures that governance operates as a disciplined, end-to-end process, keeping decisions structured, traceable, and executed through closure.

Requirements

• Bachelors: Business Administration (Required)
• Bachelors: Data Processing (Required)
• Bachelors: Information Systems (Required)
• Bachelors: Risk Management (Required)
• Bachelors: Technology Management Services (Required)
• Bachelors (Required)
• 3+ years in program management, project management, operations, or another coordination-heavy role involving cross-functional stakeholders and structured review or approval process. | Required
• Ability to run intake and workflow processes, maintain trackers or inventories, coordinate recurring cross-functional meetings, assemble decision-ready materials, and follow issues through to closure; strong facilitation, written communication, stakeholder management, and executive-level communication skills. | Required
• Any equivalent combination of experience and education. | Required
• Familiarity with, or the ability to quickly learn, core data and AI governance concepts such as data quality, access controls, AI risk, and model inventories. | Required

Nice To Haves

• banking/financial institution experience preferred
• Experience with AI governance, model risk coordination, data governance councils, data catalog tools, workflow tools such as Jira or ServiceNow.

Responsibilities

• Own and operate the single intake process for data, analytics, AI, model, and HAL and similar use cases, including required intake materials and routing rules.
• Maintain the enterprise AI/model inventory, including production systems, pilots, vendor AI capabilities, business owners, risk tiers, data sources, and review status.
• Coordinate the one-time baseline review of existing AI and model systems, including credit risk, fraud, chatbot tooling, media mix modeling, HAL and similar tools, productivity AI, engineering assistants, and internal document/RAG assistants.
• Coordinate the Enterprise AI Strategy & Governance Council process, AI Risk review inputs, agendas, evidence packets, decision logs, conditions, remediation items, and follow-up dates.
• Assemble readiness packets for AI and data governance reviews, including business purpose, owner, data sources, risk tier, access needs, technical review status, control findings, and open decisions.
• Run the data governance operating rhythm for data products, definitions, stewardship decisions, quality expectations, issue tracking, and policy/procedure maintenance.
• Coordinate with the Lead Data & AI Architect on technical readiness reviews and with the Manager, Data Science & Applied AI on model behavior, testing, monitoring, and vendor-claim review where applicable.
• Track governance metrics, decision cycle times, open remediation items, inventory completeness, and compliance evidence needed for audit, exam, and executive reporting.
• Other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level