Data & AI Governance Operations Lead

PSECU

$95K — $115K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business Administration, Data Processing, Information Systems, Risk Management, or Technology Management Services required.
  • 3+ years in program or project management, operations, or a similar coordination-heavy role.
  • Experience with intake and workflow processes and maintaining inventories.
  • Strong facilitation, written, and executive-level communication skills.
  • Basic understanding of data quality, access controls, and AI risk governance concepts.

Responsibilities

  • Own and operate the intake process for data, analytics, and AI use cases.
  • Maintain an inventory of enterprise AI/models, including status and risk tiers.
  • Coordinate baseline reviews of existing AI systems and tools.
  • Manage the Enterprise AI Strategy & Governance Council process and related documentation.
  • Assemble readiness packets for data governance reviews.
  • Run the data governance operating rhythm for decision-making and issue tracking.
  • Track governance metrics and prepare reports for audits and executive review.

Benefits

  • Hybrid work model with a minimum of 40% on-site expectation.
  • Structured governance processes that promote traceability and closure of decisions.
  • Exposure to cutting-edge AI and data governance practices.
  • Collaborative environment working with cross-functional teams.
  • Opportunities to contribute to high-impact enterprise AI strategies.
Full Job Description
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)

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