AI Enablement Engineer – Intake, Value & Adoption - Bank's AI Program

Hello, Please check the below positions and let me know if you have any questions Position: AI Enablement Engineer – Intake, Value & Adoption - Bank's AI program Location: Remote but candidate must be from Eastern or Central zone Duration: - 12 months with extension or conversion as FTE Job Description: AI Enablement Engineer – Intake, Value & Adoption - Bank's AI program A technical engineering role — this is not a business analyst position Overview This is a technical product-operations role, not a business analyst position. The AI Use Case Intake & Value Lead owns 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 role converts governance principles into a practical, repeatable intake process that business teams can navigate, and gives leadership a defensible, data-driven view of the AI portfolio. This is an engineering seat, not an analyst 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 — leveraging GenAI capabilities to automate the intake and reporting machinery rather than operating it manually. Primary 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. Scope of Responsibilities Supervisory / Managerial Responsibilities No direct supervisory responsibilities. Provides analytical leadership, work direction, and coaching to analysts, developers, and contractors supporting intake and use-case delivery. Required Qualifications • 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). Preferred Qualifications • 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). First 90 Days • Intake framework v1 live with templates, gates, and first cohort of use cases through it. • ROI methodology applied to all in-flight approved use cases. • First portfolio report delivered to leadership. Success Measures • Enterprise AI intake framework live, adopted, and integrated with governance and platform onboarding. • 100% of new AI use cases entering through the managed intake process with complete gate artifacts. • ROI methodology applied to all approved use cases with realized-value tracking in place. • Portfolio reporting operating on a regular cadence with leadership engagement. • Measurable reduction in intake cycle time without governance shortcuts.