AI Enablement Engineer
About The Position
A leading financial services client is seeking an AI Use Case Intake & Value Lead who will own the front door of the bank's AI program — the use-case intake framework, stage gates, prioritization methodology, and value/ROI measurement that determine what the bank builds, in what order, and with what expected return. This is an engineering seat: the role builds the intake and portfolio tooling itself (workflow automation, GenAI-assisted intake screening, usage-data integration for value tracking), technically evaluates proposed use cases against platform capabilities and constraints, and constructs value measurement from real platform telemetry.
Requirements
- Bachelor's degree and 5+ years' experience in business systems analysis, product/portfolio management, or technology program analysis (or 9 years combined education/relevant work experience in lieu of degree)
- Demonstrated experience designing and operating intake, demand-management, or stage-gate processes for technology initiatives, with technical depth to evaluate AI feasibility, platform fit, and consumption economics
- Strong financial and value analysis skills — business cases, ROI modeling, cost/benefit tracking, 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 Haves
- 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)
Responsibilities
- Design, implement, and operate the enterprise AI use-case intake framework, including 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)
- Maintain the AI use-case portfolio and pipeline as a managed system of record
- Facilitate intake reviews and prioritization forums with business sponsors, governance, and platform stakeholders
- Build and maintain the ROI and value-measurement methodology for AI use cases, including baseline capture, benefit hypotheses, and realized-value tracking
- Partner with the observability/FinOps function to connect usage and spend data to business cases
- Produce portfolio-level reporting for leadership on value delivered, adoption, cost trends, and prioritization recommendations
- Develop benefit-realization checkpoints into the use-case lifecycle
- Serve as the primary intake partner for business lines bringing AI use cases forward, coaching sponsors through requirements and gate readiness
- Translate between business intent and technical delivery, working with solution architecture and platform engineering
- 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 through communications and enablement sessions
- Continuously improve the intake process based on cycle-time, sponsor feedback, and governance findings
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
