Senior AI Technical Project Manager

Job Summary We are seeking a Senior AI Technical Project Manager to lead the end-to-end delivery of enterprise Artificial Intelligence initiatives across cross-functional, matrixed organizations. The ideal candidate will possess strong technical program management expertise, AI delivery experience, and the ability to orchestrate complex initiatives involving AI/ML, Data Science, Engineering, Architecture, Product, and Quality teams. This role is responsible for delivery governance, execution planning, stakeholder communication, risk management, and production readiness while driving successful AI solution delivery through influence rather than direct authority. Key Responsibilities Lead end-to-end delivery planning and execution for enterprise AI, Machine Learning, and Generative AI initiatives. Develop and maintain integrated project plans, milestones, release schedules, critical paths, dependency tracking, and delivery roadmaps across multiple AI workstreams. Coordinate AI, Data Science, Architecture, Engineering, Product, QA, Security, and business teams to ensure successful project execution. Facilitate Agile ceremonies, executive reviews, governance meetings, decision forums, and cross-functional planning sessions. Manage project risks, assumptions, issues, dependencies (RAID), and escalation activities throughout the delivery lifecycle. Coordinate cross-team capacity planning and identify resource constraints while partnering with functional leadership. Establish and maintain delivery governance, quality gates, production readiness reviews, and release management processes. Coordinate User Acceptance Testing (UAT), defect triage, quality reviews, release readiness, and business sign-off activities. Ensure AI solutions meet functional, technical, operational, security, Responsible AI, and production readiness requirements. Drive adoption of standardized AI delivery processes, governance frameworks, templates, metrics, and best practices. Monitor project health, communicate delivery status, and provide executive-level reporting to stakeholders. Facilitate resolution of cross-functional issues while ensuring decision ownership remains with the appropriate technical and business leaders. Collaborate with AI Engineering, Data Science, MLOps, Product, and Architecture teams to support AI solution delivery from concept through production. Promote continuous improvement across AI delivery processes, governance, and operational excellence initiatives. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field, or equivalent professional experience. 7+ years of technical project or program management experience delivering complex enterprise technology initiatives. 2+ years of experience managing Artificial Intelligence (AI), Machine Learning (ML), Data Science, or Generative AI programs. Proven experience leading cross-functional, matrixed delivery teams without direct reporting authority. Strong understanding of Agile, hybrid, and product-oriented delivery methodologies. Experience with release planning, dependency management, RAID management, executive reporting, and portfolio governance. Working knowledge of the AI solution lifecycle, including data readiness, experimentation, model evaluation, deployment, monitoring, and Responsible AI practices. Understanding of AI technologies, including Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or similar AI platforms. Familiarity with AI architecture, APIs, cloud platforms, MLOps/LLMOps, CI/CD pipelines, observability, security, and model governance. Strong facilitation, negotiation, conflict resolution, stakeholder management, and executive communication skills. Excellent analytical, organizational, and problem-solving abilities. Experience delivering enterprise-scale technology modernization and digital transformation initiatives. Preferred Qualifications Experience delivering Generative AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), Conversational AI, Recommendation Engine, Computer Vision, or Predictive Analytics solutions. Experience with cloud AI platforms, enterprise APIs, data platforms, MLOps, LLMOps, observability, security, privacy, and AI governance. Professional certifications such as PMP, PgMP, PMI-ACP, SAFe, Certified ScrumMaster (CSM), or equivalent. Experience in Retail, Consumer Products, Digital Commerce, Loyalty, Marketing Technology, or other high-volume customer-facing industries. Experience establishing AI delivery governance frameworks and enterprise project management standards. Education: Bachelors Degree Certification: Project Management Professional , Certified Scrum Master (CSM) , PMI-ACP , SAFe