AI Delivery Lead
Listed on 2026-06-26
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IT/Tech
Change Management, Business Systems & Technology Analysis
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.
With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
Sia’s Strategy & Management Consulting global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy.
A digital leader or growing disruptor, everyone must transform themselves to maintain their advantage. The Sia Technology Business Unit supports clients through digital, operations and organizational transformation adapted to their culture and working methods. We help clients strategize and scale leveraging deep expertise and solutions in compliance and risk management, strategic technology partnerships, data science, operations and business analysis and mergers and acquisitions.
We’re looking for an AI Delivery Lead to help organizations operationalize AI, automation, and agent‑based workflows 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
- 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
- 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…
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