Data & AI Governance Operations Lead

PSECU; Harrisburg (Dauphin County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

PSECU in Harrisburg, PA is seeking a Data & AI Governance Operations Lead to manage intake, inventory, and governance processes across data, analytics, and AI initiatives.

You will coordinate the Enterprise AI Strategy & Governance Council, assemble readiness packets, track metrics, and ensure end-to-end governance from request through closure.

Requires 3+ years in program/operations roles and a strong ability to coordinate cross-functional teams in a banking environment.

Qualifications

• 3+ years in program management, project management, operations, or coordination-heavy roles.
• 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.
• Any equivalent combination of experience and education.
• 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.
• Familiarity with core data and AI governance concepts such as data quality, access controls, AI risk, and model inventories.

Responsibilities

• Own and operate the single intake process for data, analytics, AI, model, and HAL use cases.
• 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.

Skills

Program management

Project management

Operations

Cross-functional coordination

Executive communication

Jira

ServiceNow

AI governance

Model risk coordination

Data governance

Education

Bachelors: Business Administration

Bachelors: Data Processing

Bachelors: Information Systems

Bachelors: Risk Management

Bachelors: Technology Management Services

Bachelors

CDPSE / CGEIT / PMI-RMP / PMP certifications

Tools

Jira

ServiceNow

Job description

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...

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.

Schedule: Monday - Friday, 8am -4pm or 9am - 5pm. This position will be a hybrid model both in person and remote with minimum of onsite expectation of 40% or as needed.

In this position, you will

• 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.

Qualifications:

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.| RequiredAbility 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.| RequiredAny equivalent combination of experience and education.| Requiredbanking/financial institution experience preferred| Not RequiredExperience with AI governance, model risk coordination, data governance councils, data catalog tools, workflow tools such as Jira or ServiceNow.| Not RequiredFamiliarity 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

Certified Data Privacy Solutions Engineer (CDPSE) - ISACA (Information Systems Audit and Control Association), Certified in the Governance of Enterprise IT (CGEIT) - ISACA (Information Systems Audit and Control Association), PMI Risk Management Professional (PMI-RMP) - Project Management Institute (PMI), Project Management Professional (PMP) - Project Management Institute (PMI)