Senior AI Delivery Manager (Technical PM)

Prairie Consulting Services; Bolingbrook (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Prairie Consulting Services in Bolingbrook, IL seeks an Enterprise AI Delivery & Governance - Technical Project Manager to lead end-to-end execution of complex AI initiatives. You will own integrated plans, drive governance, manage cross-team dependencies, and ensure production readiness in a matrixed enterprise.

The role emphasizes agile/hybrid delivery, RAID management, executive reporting, and collaboration with AI/Data Science, Architecture, Engineering, Product, QA/Responsible AI, and

Qualifications

• Bachelor's degree in computer science, engineering, information systems, business, or a related field; equivalent experience considered.
• 7+ years of technical project/program management experience delivering complex, cross-functional technology initiatives, including 2+ years supporting AI, machine learning, data science, or generative AI solutions.
• Demonstrated success managing multi-team delivery in a matrixed organization without relying on direct reporting authority.
• Strong command of Agile, hybrid, and product-oriented delivery practices, including release planning, dependency management, RAID management, and executive reporting.
• Working knowledge of the AI solution lifecycle, including data readiness, experimentation, model evaluation, integration, testing, deployment, monitoring, and Responsible AI controls.
• Excellent facilitation, negotiation, conflict-resolution, written communication, and executive presentation skills.
• Experience delivering generative AI, large language model, RAG, conversational AI, recommendation, computer vision, or predictive analytics solutions.
• Familiarity with cloud AI platforms, APIs, data platforms, MLOps/LLMOps, CI/CD, observability, security, privacy, and model governance.
• PMP, PgMP, PMI-ACP, SAFe, Scrum, or comparable delivery certification.
• Experience in retail, consumer, digital commerce, loyalty, marketing technology, or other high-volume customer-facing environments.

Responsibilities

• Own integrated planning, milestones, release timelines, critical path, assumptions, and dependency tracking across multiple pods or workstreams.
• Lead delivery ceremonies, working sessions, decision reviews, and executive status communications; maintain accurate RAID and action logs.
• Coordinate cross-pod capacity needs and surface constraints; partner with discipline leaders who retain resource-allocation authority.
• Maintain delivery momentum by clarifying ownership, sequencing work, driving follow-through, and escalating unresolved blockers.
• Orchestrate test governance and lifecycle integration from design through deployment, in partnership with Engineering and the Testing Center of Excellence.
• Facilitate definition and adoption of measurable quality-gate criteria for production readiness, including functional, technical, operational, data, model, security, and Responsible AI considerations.
• Coordinate defect taxonomy, severity standards, triage cadence, remediation ownership, and release-impact decisions.
• Plan and manage UAT and business sign-off; ensure the Product Owner or designated business authority makes the final acceptance decision.
• Run portfolio-level quality reviews and ensure required evidence, risks, exceptions, and decisions are visible to Enterprise AI leadership.
• Coordinate cross-pod quality-gate approvals while preserving technical approval authority with Engineering and Architecture leaders.
• Route cross-pod conflicts to appropriate portfolio or functional leader, document decisions, and track resolution to closure.
• Define, socialize, and continuously improve AI delivery practices, templates, controls, metrics, and standards across the portfolio.

Skills

Delivery planning

Cross-functional leadership

Agile / Hybrid delivery

RAID management

Executive reporting

AI, ML, Data Science

MLOps / LLM Ops

Cloud AI platforms

PMI / SAFe / Scrum

Generative AI / LLMs

Stakeholder management

Production readiness

Education

Bachelor's degree in computer science, engineering, information systems, business, or a related field

Equivalent experience considered

Tools

Job description

Prairie Consulting Services in Bolingbrook, IL seeks an Enterprise AI Delivery & Governance - Technical Project Manager to lead end-to-end execution of complex AI initiatives. You will own integrated plans, drive governance, manage cross-team dependencies, and ensure production readiness in a matrixed enterprise.

The role emphasizes agile/hybrid delivery, RAID management, executive reporting, and collaboration with AI/Data Science, Architecture, Engineering, Product, QA/Responsible AI, and