AI Program Manager

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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