AI Delivery Lead at Sia Partners - USA

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

170000.0

Posted On

13 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Delivery, Program Management, Generative AI, LLMs, AI Agents, Workflow Automation, Stakeholder Management, Agile Delivery, Technical Program Management, Enterprise AI Adoption, Risk Management, Governance, Product Delivery, Business Transformation, Operational Reporting, Strategic Planning

Industry

Business Consulting and Services

Description

Company Description 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. Strategy & Management Consulting 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. 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 We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation Annual Base Salary Range, commensurate with experience and qualifications: Associate Manager Level: $142,800 - $147,900 Manager Level: $150,000 - $170,000 Annual performance-based bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement LiveHealth Online virtual care Personalized support from a Well-being Coach Employee Assistance Program at no cost Free confidential counseling and emotional support services On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging 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. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. 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. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office or client site at least three days per week. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). 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.

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Responsibilities

Lead the end-to-end delivery of AI, automation, and agent-based transformation initiatives to move clients from experimentation to measurable business impact. Design and operationalize scalable AI-enabled workflows and governance processes while managing stakeholder alignment and program execution.