AI Enablement Engineer – Intake, Value & Adoption

About the Position

We are seeking an AI Enablement Engineer – Intake, Value & Adoption to lead the AI use case intake framework, ensuring value and ROI measurement for our bank's AI program.

Responsibilities

• Intake Framework & Portfolio Management

  • Design, implement, and operate the enterprise AI use-case intake framework: submission, screening, risk-tier alignment, stage gates, and approval workflow integrated with governance and platform onboarding.
  • Define intake requirements and templates (business case, data classification, oversight model, success criteria) that satisfy governance without overburdening business teams.
  • Maintain the AI use-case portfolio and pipeline as a managed system of record, with stage, status, ownership, and risk posture visible to leadership.
  • Facilitate intake reviews and prioritization forums with business sponsors, governance, and platform stakeholders.

• Value, ROI & FinOps Alignment

  • Build and maintain the ROI and value-measurement methodology for AI use cases: baseline capture, benefit hypotheses, realized-value tracking, and total cost of ownership including model usage and platform consumption.
  • Partner with the observability/FinOps function to connect actual usage and spend data to the business cases that justified each use case.
  • Produce portfolio-level reporting for leadership: value delivered, adoption, cost trends, and prioritization recommendations.
  • Develop benefit-realization checkpoints into the use-case lifecycle so value claims are validated, not just projected.

• Business Partnership & Enablement

  • Serve as the primary intake partner for business lines bringing AI use cases forward; coach sponsors and analysts through requirements, business cases, and gate readiness.
  • Translate between business intent and technical delivery: work with solution architecture and platform engineering to shape feasible, governed solutions.
  • Provide work direction and quality review to business analysts and developers supporting use-case documentation.
  • Drive awareness and adoption of the intake process across business lines: communications, onboarding sessions, and sponsor enablement so the funnel fills by design rather than by chance.
  • Continuously improve the intake process based on cycle-time, sponsor feedback, and governance findings.

Requirements

• Must have

  • Bachelor's degree and a minimum of 5 years' experience in business systems analysis, product/portfolio management, or technology program analysis, or in lieu of a degree, a combined minimum of 9 years' education and/or relevant work experience.
  • Demonstrated experience designing and operating intake, demand-management, or stage-gate processes for technology initiatives - with the technical depth to evaluate AI feasibility, platform fit, and consumption economics directly.
  • Strong financial and value analysis skills: business cases, ROI modeling, cost/benefit tracking, and executive reporting.
  • Working technical fluency with AI/GenAI concepts, consumption-based cost models, and enterprise delivery lifecycles (SDLC/Agile).
  • Strong facilitation, communication, and stakeholder management skills across business and technology audiences.
  • Advanced proficiency with analysis and reporting tools (Excel, Power BI or equivalent).

• Nice to have

  • Experience with AI/GenAI portfolio management, FinOps concepts, or usage-based cost allocation.
  • Experience in financial services or another highly regulated industry.
  • Familiarity with governance and risk processes (risk tiering, data classification, third-party risk).
  • Experience with workflow/intake tooling (ServiceNow, Jira, or equivalent).

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities

About the Company

Join our team and contribute to the forefront of AI enablement in the financial services industry.

Location

• City: Buffalo
• Country: United States
• Remote: No

Language

• English: C1 Advanced

Employment Type

• Type: Full-time

Experience Level

• Level: Senior