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GenAI Ops Intent Lead

Pittsburgh , Pennsylvania

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Type: Direct-Hire

Experience: 0

Category: Information Technology

Contractor Work Model: Onsite

Brand: System One

Compensation Range: 140000.00

Job ID: 376672

Date Posted: 07/10/2026

Shortcut: http://jobs.systemone.com/qSXTy6


GenAI Ops Intent Lead
Permanent Full-Time
5 days in Strongsville, OH, Dallas, TX, or Pittsburgh, PA.

Visa: USC, GC, EAD (Only W2, No Sponsorship)

Position Description
Looking for a GenAI Ops Intent Lead who will be responsible for defining, prioritizing, and driving the successful delivery of Generative AI initiatives across the enterprise.
This role serves as the bridge between business stakeholders, engineering teams, governance functions, and platform teams to ensure GenAI solutions deliver measurable business outcomes.
The Intent Lead owns the end-to-end lifecycle of GenAI use cases, from intake and prioritization through deployment, adoption, and value realization. Working closely with engineering teams, architects, and business leaders, the Intent Lead ensures solutions align with strategic objectives, governance requirements, and operational needs.

Responsibilities
Product & Use Case Leadership

  • Own the GenAI use case lifecycle from ideation through production deployment.
  • Partner with business stakeholders to identify, assess, and prioritize GenAI opportunities.
  • Define business objectives, success criteria, KPIs, and value realization metrics.
  • Develop and maintain product roadmaps for GenAI initiatives.
Stakeholder Management
  • Serve as the primary interface between business, technology, governance, and delivery teams.
  • Facilitate workshops, discovery sessions, and use case intake discussions.
  • Manage stakeholder expectations and ensure alignment on priorities and outcomes.
  • Communicate program progress, risks, and achievements to leadership teams.
Delivery Governance
  • Guide engineering teams on business priorities and expected outcomes.
  • Support sprint planning, backlog prioritization, and release planning activities.
  • Ensure alignment between business objectives and technical implementation.
  • Participate in architecture, governance, and production readiness reviews.
Value Realization
  • Define and track KPIs related to:
    • Productivity improvements
    • User adoption
    • Operational efficiency
    • Cost optimization
    • Business impact
  • Monitor realized benefits and identify opportunities for continuous improvement.
  • Support ROI measurement and reporting activities.
AI Governance & Responsible AI
  • Collaborate with governance, risk, and compliance teams.
  • Support Standards of Care (SoC), Responsible AI, and model governance processes.
  • Participate in use case risk assessments and approval workflows.
Change Management & Adoption
  • Drive user adoption and organizational readiness initiatives.
  • Coordinate training, communications, and stakeholder engagement activities.
  • Gather feedback and prioritize enhancements based on business needs.
Required Qualifications
  • 8+ years of experience in Product Management, Program Management, Business Analysis, Consulting, or Technology Delivery.
  • 3+ years of experience working with Generative AI, AI/ML solutions, data platforms, or digital transformation initiatives.
  • Strong understanding of:
    • Product Management
    • Agile Delivery
    • Business Process Transformation
    • Generative AI concepts
    • Enterprise Technology Platforms
  • Experience managing stakeholder relationships across business and technology organizations.
  • Proven ability to define roadmaps, prioritize backlogs, and deliver business outcomes.
  • Strong communication, facilitation, and executive presentation skills.
  • Experience in Banking, Financial Services, or highly regulated industries.
  • Familiarity with:
    • Generative AI
    • Retrieval Augmented Generation (RAG)
    • Agentic AI
    • AI Governance
    • Model Risk Management (MRM)
  • Experience leading enterprise platform or transformation initiatives.
Success Measures
  • Successful onboarding and delivery of GenAI use cases.
  • Achievement of defined business outcomes and KPIs.
  • Increased user adoption and business engagement.
  • Effective prioritization and governance of the GenAI portfolio.
  • Improved time to value for GenAI initiatives.
  • Alignment of GenAI investments with strategic business objectives.
#M1
#DI-CB2

#L1 - KB1


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