Role OverviewThe AI Delivery Leader is accountable for leading the end-to-end delivery of enterprise AI solutions, from ideation through deployment, partnering with business stakeholders, architects, engineers, and data scientists to prioritize use cases, manage delivery execution, and ensure AI solutions are aligned to business objectives and governance standards.
What You Will Do
Lead end-to-end delivery of AI, automation, agent, advanced analytics, and Copilot-enabled initiatives from ideation through deployment and post-go-live support. Establish and manage the AI delivery roadmap, priorities, milestones, dependencies, and resource plans.
Why It Might Be a Fit
The ideal candidate will have 7+ years of experience leading technology, data, analytics, digital transformation, automation, or AI initiatives across the full solution lifecycle, and strong program, portfolio, and project management capabilities.
Requirements
- 7+ years of experience leading technology, data, analytics, digital transformation, automation, or AI initiatives across the full solution lifecycle
- 5+ years of experience leading cross-functional teams and complex programs involving business stakeholders, technology teams, vendors, and implementation partners
- Proven experience delivering AI, advanced analytics, machine learning, generative AI, agents, intelligent automation, Copilot, or digital solutions that drive measurable business value
- Strong program, portfolio, and project management capabilities, including roadmap planning, prioritization, dependency management, budget tracking, resource planning, risk management, and executive reporting
- Experience with AI and analytics platforms such as Microsoft Copilot, Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, Databricks, Google Gemini, Anthropic Claude, or similar enterprise AI platforms
- Ability to gather requirements, define scope, estimate work, manage plans, and coordinate AI projects or workstreams
- Working knowledge of the AI solution lifecycle, including use case evaluation, data readiness, design, build, testing, deployment, monitoring, support, enhancement, and retirement
- Experience leading Agile, Scrum, Kanban, or hybrid delivery models, including backlog management, sprint planning, prioritization, release planning, and stakeholder demonstrations
- Understanding of AI governance, responsible AI, cybersecurity, privacy, data governance, model risk, and compliance considerations in an enterprise environment
Benefits
- Medical, dental and vision insurance
- Consumer-Driven Health Plan (CDHP)
- Preferred Provider Organization (PPO)
- Exclusive Provider Organization (EPO)
- Company-paid basic life insurance and Additional voluntary life coverage
- Paid vacation and competitive personal time off
- 401(k) savings plan with company match
- Employee assistance programs – available 24/7 to you and your family
- Wellness and Work Life Support - career development and educational assistance
]]>