Project Manager - AI Governance

Location:

Bloomfield, CT - Hybrid

12 Months contract

• y:
  
  The AI Governance Lead will own and evolve the enterprise AI governance framework— policies, standards, guardrails, and operating mechanisms to enable responsible AI adoption s role partners closely with Security, Privacy, Compliance, Legal, Risk, Audit, Data Governance, and Technology to create clear, usable controls that accelerate delivery while containing ris
• k.You will define and operationalize AI risk tiering, oversee governance patterns and reusable enablement assets (e.g., templates, checklists, control mappings), and ensure AI solutions align to responsible AI principles, regulatory expectations, and internal policy requirement

s:1) Policy Ownership & Governance Framewor

• ks Draft, maintain, and operationalize enterprise Responsible AI policies, standards, and procedures (e.g., scope, definitions, approvals, roles/accountabilities, documentation requirements
• g.Translate policy into practical delivery guidance (playbooks, decision trees, “how-to” guides) that teams can adopt without slowing down product velocit

y.2) AI Risk Tiering, Controls & Guardrails (Enablement with Containmen

• t)
  Design and continuously improve an AI risk tiering model (e.g., Tier 0–4) based on factors such as impact, autonomy, data sensitivity, regulatory exposure, and customer/member ris
• k.Define control sets by tier (e.g., human-in-the-loop requirements, testing depth, monitoring frequency, model governance artifacts, approval gates
• ).Establish governance patterns that teams can reuse (approved prompts/patterns, model cards, data sheets, red teaming, evaluation protocols, safe deployment architectures
• ).Build “ fast paths” for low-risk use cases and tighter governance for higher tiers—balancing scale and safet

y.3) Cross-Functional Stakeholder Collaborati

• on Serve as the primary convener across Security, Privacy, Compliance, Legal, Risk Management, Audit, and Data Governance to align on expectations and integrate control
• s.Lead working sessions to resolve ambiguity, drive decisions, and translate stakeholder needs into implementable governance requirement
• s.Partner with platform and engineering leaders to embed governance into tools and workflows (e.g., intake forms, CI/CD gates, logging/monitoring, policy-as-code where feasible

).4) Governance Operations & Portfolio Oversig

• ht Define and run governance decisioning forums (e.g., risk review boards, architectural review checkpoints, tier adjudication
• ).Implement a governance intake and review process for AI solutions (including evaluation of risk tier, required artifacts, and control readiness
• .Track and report governance KPIs: adoption of standards, compliance rates, exceptions, time-to-approval, post-deployment incidents, drift/monitoring healt

h.5) Responsible AI Assurance (Validation, Monitoring, Audit Readines

• s)
  Establish requirements and templates for: bias/fairness evaluation, explainability, robustness/safety testing, privacy impact assessment, and security threat modelin
• g.Ensure production AI systems have adequate monitoring, logging, and incident response processes (including escalation paths and rollback plans
• .Maintain documentation and evidence to support internal/external audits, regulatory inquiries, and executive reportin

g.6) Change Management & Workforce Enableme

• nt Create training and communications that drive consistent governance adoption across product, engineering, and business team
• s.Build communities of practice and “ governance champions” within delivery teams to scale the operating mode

• s:
  
  Policy craftsmanship: clear, implementable policy writing and standards desi
• gnRisk-based thinking: tiering, controls mapping, and pragmatic decisioni
• ng Influence & facilitation: ability to align diverse stakeholders and drive outcom
• es Operational rigor: metrics, governance cadence, audit readine
• ss Enablement mindset: scalable patterns and “paved roads” that accelerate safe adopti

• n:
  
  Bachelor's Degree or equivalent work experienc