AI Delivery Lead

Job Description

We’re looking for an AI Delivery Lead to help organizations operationalize AI, automation, and agent-based workflows at scale. In this role, you will lead complex AI-enabled transformation initiatives across business and technology teams, helping clients move from experimentation to measurable business impact.

You will operate at the intersection of program delivery, AI transformation, and enterprise operations — driving execution across multiple initiatives while helping organizations adopt scalable AI-enabled ways of working.

This role is ideal for someone who combines strong program leadership with curiosity around emerging AI technologies and a practical, execution-oriented mindset. You should be comfortable navigating ambiguity, managing competing priorities, and partnering with both business and technical stakeholders to deliver meaningful outcomes.

You’ll work closely with product owners, engineering teams, business leaders, and cross-functional stakeholders to structure delivery, manage risk, implement AI-powered solutions, and drive enterprise adoption.

What You’ll Do

Lead AI Transformation Delivery

• Drive end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, and measurement aligned to organizational goals
• Partner with product owners, program managers, and engineering teams to translate business needs into scalable AI-enabled solutions and operational workflows
• Support delivery across cross-functional teams while balancing speed, quality, stakeholder expectations, and business priorities
• Navigate ambiguity and solve complex delivery challenges in fast-paced client environments
• Manage competing priorities and simultaneous initiatives while maintaining strong execution discipline

Design & Operationalize AI-Enabled Solutions

• Support the implementation of AI-powered workflows, automation initiatives, and agentic systems across enterprise functions
• Help structure workflows, delivery models, governance processes, and operational approaches that enable scalable enterprise AI adoption
• Collaborate closely with technical and business teams to move solutions from pilot to scaled deployment
• Evaluate emerging AI tools, platforms, and capabilities to identify practical enterprise applications and opportunities for process improvement
• Seek opportunities to improve efficiency through automation, streamlined operations, and scalable delivery practices

Drive Program Governance & Execution

• Define program goals, success metrics, and reporting mechanisms tied to adoption, efficiency, quality, operational performance, and business impact
• Partner with stakeholders to align intake processes, prioritization frameworks, SLA tracking, risk management, and post-launch measurement to organizational standards
• Identify and proactively manage delivery risks, dependencies, and escalation paths to ensure projects remain on track
• Provide ongoing communication and program visibility to leadership and stakeholders while reducing surprises through proactive risk management
• Operate effectively across highly matrixed organizations and work with stakeholders ranging from front-line analysts to executive leadership

Enable Adoption & Stakeholder Alignment

• Build strong relationships with internal customers and stakeholders to establish alignment on objectives, timelines, and expected outcomes
• Help organizations adopt AI-enabled ways of working through stakeholder engagement, communication, training, and operational support
• Support the development of repeatable playbooks, documentation, and best practices to enable scalable delivery and enterprise AI adoption
• Mentor junior consultants and support delivery excellence across project teams

Qualifications

Required

• 7+ years of experience in program management, project management, product delivery, consulting, or technology transformation roles within technology, fintech, or enterprise environments
• 3–5 years of experience in a Technical Program Management, AI delivery, or equivalent technical delivery capacity
• Hands-on experience supporting, designing, building, or deploying AI agents, automation workflows, or AI-enabled operational solutions in partnership with business and engineering teams
• Strong understanding of generative AI concepts, including LLMs, AI agents, copilots, workflow automation platforms, and enterprise AI adoption challenges
• Experience leading multiple large, cross-functional initiatives simultaneously while establishing scalable processes and driving measurable outcomes
• Experience working in Agile delivery environments and collaborating closely with product and engineering teams
• Ability to translate ambiguous business challenges into structured delivery plans, workflows, and implementation approaches
• Strong communication and stakeholder management skills with experience working across business and technical teams, including executive-level stakeholders
• Demonstrated ability to manage program budgets, operational reporting, and delivery governance across large-scale initiatives
• Strong problem-solving capabilities with the ability to operate effectively in fast-moving and evolving environments
• Demonstrated technical and/or data-related acumen within program or project delivery environments
• Bachelor’s degree required; Master’s degree preferred
• Based in San Francisco, New York, or Seattle and eligible to work in the United States

Preferred

• Hands-on experience experimenting with AI platforms and tools such as OpenAI, Claude, Microsoft Copilot, Gemini, or workflow automation platforms
• Experience supporting enterprise AI transformation, automation, or digital enablement initiatives in consulting or enterprise environments
• Experience working with enterprise systems, operational workflows, data platforms, or reporting tools
• Exposure to Agile methodologies, transformation programs, or enterprise change initiatives
• PMP, Scaled Agile, Scrum Master, Lean Six Sigma, or equivalent certifications preferred
• Experience with tools such as ServiceNow (Carts+), Smartsheet, MS Project, Azure DevOps, Tableau, or similar delivery and reporting platforms is a plus
• Experience in consulting, technology, financial services, or fintech industries is preferred

Why Join Us

• Work on high-impact AI transformation initiatives across industries
• Help organizations operationalize generative AI and automation at scale
• Collaborate with product, engineering, strategy, and business leaders
• Drive enterprise adoption of AI-enabled workflows and operating models
• Experiment with emerging AI tools, copilots, automation platforms, and agent-based systems
• Join a fast-growing team focused on the future of enterprise AI transformation
• Build highly valuable experience at the intersection of AI strategy, program delivery, and business transformation

Additional Information

Compensation & Benefits  

Sia invests in total rewards that support how our people work, live, and grow.  

Compensation  

• Annual Base Salary Ranges, commensurate with experience and qualifications, geographic location, and other job-related factors permitted by applicable law. 
  • Associate Manager Level: $135,700 - $141,800
  • Manager Level: $150,000 - $170,000
• Annual Performance Bonus    

Benefits  

• Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP  
• 401(k) with company match and immediate vesting; HSA and FSA options  
• College savings and student loan repayment programs  
• Paid parental leave; generous PTO, nine company holidays, and one floating holiday  
• Cell phone stipend; well-being and professional development programs  

Benefits are subject to applicable plan terms and eligibility requirements.  

Workplace 
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. 

Work Authorization 

Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. 

Our Commitment 

At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.