AI Program Manager

🕒 August 5

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

📋 Program Manager

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Meta Resources Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Meta Resources Group is a company that provides innovative solutions for complex business challenges, focusing on IT staffing, solutions architecture, and training. They offer cutting-edge digital solutions including consulting, cloud integration, AI, automation, and cybersecurity, designed to optimize operations and drive growth for their clients. With a dedicated team, Meta Resources Group aims to expand market share, grow revenue, and minimize costs for businesses across various industries.

📋 Description

• Lead the end-to-end delivery of multiple AI, Machine Learning, and Generative AI programs across global business functions • Drive AI initiatives from business intake through planning, delivery, deployment, production, and value realization • Partner with Product Owners, AI Engineers, Data Scientists, MLOps teams, and business stakeholders to deliver scalable AI solutions • Manage AI delivery roadmaps, dependencies, milestones, budgets, risks, and executive reporting across multiple concurrent initiatives • Coordinate cross-functional teams spanning Business, Data Engineering, AI Engineering, Platform, Security, Governance, and Change Management • Facilitate Agile ceremonies including Sprint Planning, Backlog Grooming, PI Planning, Reviews, Retrospectives, and Release Planning • Manage AI-specific delivery backlogs covering data readiness, feature engineering, model training, model validation, deployment readiness, and Responsible AI reviews • Drive AI Factory intake, prioritization, capacity planning, governance, and delivery throughput • Lead Value Teams focused on measurable business outcomes • Align delivery priorities with business KPIs, value hypotheses, ROI, and operational outcomes • Monitor AI program health using delivery metrics including model cycle time, deployment velocity, adoption, business value realization, and delivery performance • Manage AI program risks including data quality, model performance, governance, Responsible AI, regulatory compliance, and organizational readiness • Support enterprise governance forums, AI steering committees, executive portfolio reviews, and business leadership reporting • Coordinate User Acceptance Testing, production readiness, deployment planning, hypercare, and post-production stabilization • Ensure AI initiatives comply with enterprise architecture standards, data governance policies, security requirements, and Responsible AI frameworks • Build relationships with executive stakeholders and translate complex AI delivery concepts into business-focused outcomes • Mentor delivery teams on Agile best practices adapted to AI and Data Product delivery

🎯 Requirements

• 8+ years of Program or Project Management experience within enterprise technology organizations • Minimum 2 years of recent experience, within the last 24 months, delivering AI, Machine Learning, or Generative AI programs • Demonstrated experience managing enterprise AI delivery from concept through production deployment • Proven experience delivering AI work products within Agile product delivery environments • Strong understanding of the AI/ML development lifecycle, including data readiness, feature engineering, model development, model validation, model deployment, MLOps, model monitoring, and Responsible AI • Hands-on experience operating within an AI Factory or similar centralized AI delivery model • Experience leading Value Teams and delivering measurable business outcomes through Value-Based Delivery frameworks • Strong understanding of Scrum, SAFe, Kanban, and hybrid delivery methodologies • Experience coordinating cross-functional Product, Engineering, AI, Data Science, Security, Business, and Governance teams • Experience managing enterprise portfolios, risks, dependencies, executive reporting, and delivery governance • Strong stakeholder management and executive communication skills • Experience supporting enterprise AI governance, Responsible AI practices, and compliance initiatives • Ability to manage multiple concurrent AI programs within fast-paced enterprise environments • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, Data Science, or a related discipline • Preferred: Healthcare, Pharma, or Life Sciences industry experience • Preferred: Experience delivering Generative AI initiatives • Preferred: Familiarity with Azure AI, Azure OpenAI, AWS SageMaker, Google Vertex AI, or similar enterprise AI platforms • Preferred: Experience with MLOps platforms and AI deployment pipelines • Preferred: Exposure to Data Mesh, Modern Data Platforms, or AI Platform Engineering • Preferred: PMP, SAFe, Scrum Master, Agile, or Product Management certifications • Preferred: Experience working with Responsible AI frameworks and AI governance boards • Preferred: Executive stakeholder engagement within global transformation programmes

🏖️ Benefits

• Contractual role through the end of 2026, with likelihood of extension into 2027