Data & AI Governance Operations Lead

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 serves as the senior governance operator, ensuring governance stakeholders have the information, analysis, and documentation needed to make informed decisions. 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.

This position follows a hybrid work model, combining both onsite and remote work. The regular schedule is Monday through Friday, either 8:00 a.m. to 4:00 p.m. or 9:00 a.m. to 5:00 p.m. Due to the onsite requirements, candidates must reside within the state of Pennsylvania and able to meet the onsite requirements. Employees are expected to be onsite a minimum of 40% of the time, or more frequently as business needs require.

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 technology, data, and business stakeholders 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. | 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
banking/financial institution experience preferred | Not Required
Experience with AI governance, model risk coordination, data governance councils, data catalog tools, workflow tools such as Jira or ServiceNow. | Not 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

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)