About the Role
A leading financial services client is seeking an AI Use Case Intake & Value Lead to own the front door of the bank's AI program. This role involves managing the use-case intake framework, stage gates, prioritization, and value measurement. The engineer will build the necessary tooling, technically evaluate use cases, and track value realization.
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
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)
Skills
- AI/GenAI concepts
- Consumption-based cost models
- Enterprise delivery lifecycles (SDLC/Agile)
- Financial analysis
- Value analysis
- Business cases
- ROI modeling
- Cost/benefit tracking
- Executive reporting
- Facilitation
- Communication
- Stakeholder management
- Excel
- Power BI
- AI/GenAI portfolio management
- FinOps concepts
- Usage-based cost allocation
- Financial services
- Governance processes
- Risk processes
- Workflow/intake tooling (ServiceNow, Jira, or equivalent)
Location
- Remote within the USA
- Onsite in Buffalo, NY
- Onsite in Wilmington, DE
Work Type
- Remote
- Onsite
Experience Level
- 5+ years' experience in business systems analysis, product/portfolio management, or technology program analysis
- 9 years combined education/relevant work experience in lieu of degree
Education Level
- Bachelor's degree
Benefits
- Travel expenses covered by the company for initial onsite training
About the Company
- Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
