AI Governance Architect

M&T Bank Corporation; Buffalo (NY); On-site; USD 124,000 - 206,000; Full time

Benefits offered by this job

Forty hours of paid volunteer time

Competitive benefits

Job summary

M&T Bank Corporation is seeking a senior leader to own the design and execution of the enterprise AI governance program. You will build standards, policies, and procedures that govern AI use cases and models as they move from idea to production, structuring the roadmap across intake, classification, value assessment, and control design.

You will stand up use case governance and model governance functions, define the target state for AI governance, and drive an implementation plan with monitoring

Qualifications

• Combined minimum of 10 years' higher education and/or operational/business analytics/systems development experience.
• Demonstrated experience building a governance framework or program from the ground up in a large or complex organization.
• Working knowledge of model risk management practices (e.g., SR 11-7 or equivalent) and how they extend to AI/ML systems.
• Experience designing intake, classification, and risk assessment processes for technology or data initiatives.
• Experience working cross-functionally with engineering, legal, compliance, and business teams.
• Strong written communication skills; able to produce policy documents, standards, and executive-level reporting.
• Bachelor's degree in a relevant field; advanced degree a plus but not required in place of experience.

Responsibilities

• Governance Framework Design: author and maintain AI governance standards, policies, and procedures covering the full lifecycle of AI use cases and models.
• Design the governance roadmap organized into intake, classification, value assessment, and control design stages.
• Define risk tiers and controls proportional to use case risk (e.g., low/medium/high risk classification tied to required controls).
• Use Case Governance: build the intake process for new AI use cases: how requests enter the pipeline, what information is captured, who reviews them.
• Establish classification criteria (risk level, data sensitivity, regulatory exposure, business criticality).
• Design value assessment methodology to prioritize use cases against cost, risk, and business impact.
• Define control requirements per classification tier (documentation, testing, sign-off, monitoring).
• Model Governance: establish model risk management practices: validation, documentation, versioning, approval gates.
• Define requirements for model cards, testing evidence, bias/fairness checks, and performance monitoring.
• Set standards for third-party and open-source model vetting.
• Target State & Team Build: define the target state for AI governance, design the governance team structure, roles, and operating model.
• Set RACI across governance, engineering, legal, risk, and business stakeholders.
• Implementation & Monitoring: build a phased implementation plan with milestones and owners; establish KPIs and escalation paths.

Skills

Policy writing

Risk classification

Stakeholder mgmt

Program mgmt

ML lifecycle

Data literacy

Facilitation

Education

Bachelor's degree in a relevant field

Job description

M&T Bank Corporation is seeking a senior leader to own the design and execution of the enterprise AI governance program. You will build standards, policies, and procedures that govern AI use cases and models as they move from idea to production, structuring the roadmap across intake, classification, value assessment, and control design.

You will stand up use case governance and model governance functions, define the target state for AI governance, and drive an implementation plan with monitoring