AI Delivery Lead

AI Delivery Lead Generative AI & Data Analytics

Total Required Experience in Years:

• Minimum 5%2B Years (Cross-Functional Team Leadership & Concurrent Project Management)
• Minimum 2%2B Years (AI/ML & Data Analytics Project Management)
• Minimum 3%2B Years (Data Governance, Compliance & Security Standards Preferred)

Mode of Work: Onsite (5 Days Per Week)

Job Description: Seeking an experienced AI Delivery Lead to oversee enterprise-wide Generative AI, AI/ML, and Data Analytics initiatives within a large enterprise environment. The ideal candidate should possess strong expertise in AI/ML project delivery, enterprise project management, data analytics, cloud-based AI platforms, Agile methodologies, and stakeholder leadership. This role requires leading enterprise AI transformation programs, managing AI adoption strategies, overseeing AI implementation lifecycles, and coordinating cross-functional teams across multiple business domains. The candidate will support AI governance, compliance, security, ethical AI standards, enterprise integrations, cloud-based AI services, and organizational change management while ensuring successful delivery of multimillion-dollar technology initiatives aligned with enterprise objectives.

Key Responsibilities:

• Lead enterprise AI/ML, Generative AI, and Data Analytics initiatives across multiple business areas
• Define and manage project scope, schedules, budgets, risks, resources, milestones, communications, and deliverables
• Develop and maintain project management artifacts including charters, schedules, risk plans, communication plans, Agile backlogs, training plans, transition plans, and closeout reports
• Collaborate with executives, architects, developers, analysts, PMOs, and stakeholders to deliver AI-driven solutions
• Ensure AI implementations align with enterprise AI governance, security, compliance, and ethical standards
• Lead integration of AI tools, APIs, AI platforms, and cloud-based services into enterprise systems
• Drive AI adoption strategies, stakeholder education, organizational change management, and user enablement initiatives
• Participate in technical architecture reviews, API discussions, and AI solution design activities
• Review business requirements, AI models, training datasets, and feature engineering approaches for feasibility and alignment
• Coordinate with PMO teams, sponsors, vendors, SMEs, and business units throughout the project lifecycle
• Prepare executive presentations, project dashboards, weekly/monthly status reports, and delivery updates
• Ensure quality assurance for AI models, technical documentation, deployment artifacts, and project deliverables
• Support continuous improvement of AI delivery standards, governance models, templates, and methodologies
• Capture lessons learned and implement process improvements for future AI initiatives

Additional Responsibilities:

• Manage multiple concurrent AI and Data Analytics initiatives simultaneously
• Ensure adherence to PMBOK, SDLC, Agile, Scrum, Waterfall, and ITIL methodologies
• Utilize project tools including Microsoft Project, Jira, Confluence, Clarity PPM, Excel, and Jama
• Monitor vendor performance and ensure alignment with enterprise delivery objectives
• Support enterprise innovation, AI transformation, and modernization efforts
• Work onsite five days per week as required

Required Skills:

• Strong experience managing enterprise AI/ML and Generative AI initiatives
• Expertise in Agile, Scrum, Waterfall, PMBOK, SDLC, and enterprise project management methodologies
• Experience managing multimillion-dollar projects and budgets exceeding $1M
• Strong understanding of AI/ML concepts, model lifecycle management, data pipelines, and AI implementation strategies
• Experience leading cross-functional technical and business teams
• Proficiency with Microsoft Project, Jira, Confluence, Clarity PPM, and enterprise project tools
• Experience integrating AI platforms, APIs, and cloud-based AI services into enterprise systems
• Knowledge of AI governance, compliance, security standards, and ethical AI frameworks
• Strong stakeholder communication, leadership, presentation, and decision-making skills
• Experience with Azure and AWS cloud platforms preferred
• Experience with API documentation, AI technical documentation, and cloud architecture diagrams preferred
• Strong analytical, problem-solving, and organizational capabilities

Qualifications:

• Minimum 5 years of experience leading cross-functional teams and managing concurrent projects required
• Minimum 2 years of experience managing AI/ML and Data Analytics initiatives required
• Minimum 3 years of experience supporting data governance, security, and compliance standards preferred
• Minimum 2 years of experience managing cloud-based AI projects using Azure or AWS preferred
• Experience managing enterprise AI transformation and modernization initiatives preferred
• Local California candidates preferred
• Must be able to work onsite five days per week in West Sacramento, California

Education:

• Bachelors degree in Computer Science, Information Technology, Data Science, or related field required

Certifications:

• PMP certification preferred
• Agile certification preferred
• Scrum Master certification preferred
• Related Project Management certification preferred