Senior Manager - AI Delivery Lead

Sia•San Francisco, CA

6d•$180,000 - $210,000•Hybrid

About The Position

We’re looking for a Senior Manager, AI Delivery Lead in the Bay Area 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 AI transformation, enterprise operations, program delivery, and business strategy — driving execution across multiple initiatives while helping organizations adopt scalable AI-enabled ways of working. This role requires someone who combines strong consulting and transformation leadership with hands-on experience identifying, designing, building, and operationalizing AI-enabled solutions within enterprise environments. We are looking for leaders who have personally worked through the realities of AI adoption — partnering directly with business teams to redesign workflows, implement AI-enabled processes, validate outcomes, and drive measurable operational change. You should be comfortable navigating ambiguity, managing competing priorities, influencing executive stakeholders, and leading cross-functional teams through large-scale enterprise transformation initiatives. Unlike traditional delivery-focused roles, Senior Managers are also expected to contribute to client growth, executive advisory, practice development, and mentoring consulting teams while helping shape Sia’s growing AI transformation practice.

Requirements

10+ years of experience in consulting, program management, project delivery, product delivery, technology transformation, or enterprise transformation roles within technology, fintech, enterprise, or consulting environments.
5+ years of experience leading complex cross-functional enterprise transformation initiatives and delivery programs.
Proven hands-on experience driving AI business adoption initiatives, including mapping workflows, identifying operational opportunities, designing AI use cases, implementing AI-enabled solutions, and measuring business impact.
Hands-on experience designing, building, testing, or deploying AI agents, automation workflows, copilots, or AI-enabled operational solutions in partnership with business and engineering teams.
Strong understanding of generative AI concepts including LLMs, AI agents, workflow orchestration, prompt engineering, automation platforms, enterprise AI adoption challenges, and responsible AI considerations.
Experience leading large, cross-functional programs while establishing scalable governance models, delivery processes, and operational structures.
Strong ability to translate ambiguous business challenges into structured transformation roadmaps, workflows, and implementation strategies.
Experience working closely with executive stakeholders and presenting strategic recommendations to leadership teams.
Strong communication, stakeholder management, facilitation, and consulting skills across both business and technical audiences.
Experience managing program budgets, operational reporting, governance frameworks, and delivery oversight across large-scale initiatives.
Demonstrated ability to operate effectively in fast-moving, evolving, and highly matrixed environments.
Strong problem-solving, organizational leadership, and transformation management capabilities.
Experience working in Agile delivery environments and partnering closely with product and engineering organizations.
Bachelor’s degree required; Master’s degree preferred.
Based in San Francisco and eligible to work in the United States.

Nice To Haves

Experience supporting enterprise AI transformation, automation, digital enablement, or operating model transformation initiatives within consulting or enterprise environments.
Hands-on experience with platforms and tools such as OpenAI, Claude, Gemini, Microsoft Copilot, LangChain, workflow automation tools, or enterprise AI platforms.
Experience contributing to business development, account growth, consulting sales activities, or executive client relationship management.
Familiarity with enterprise governance, risk, compliance, or responsible AI frameworks.
Experience working with enterprise systems, operational workflows, data platforms, or reporting ecosystems.
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 within consulting, technology, enterprise software, financial services, or fintech industries preferred.

Responsibilities

Lead large-scale AI transformation initiatives from strategy through execution, adoption, and operational integration.
Drive end-to-end delivery across multiple AI, automation, and technology transformation initiatives, ensuring consistent intake, prioritization, execution, governance, and measurement aligned to organizational goals.
Work directly with business leaders and operational teams to map workflows, identify inefficiencies, and uncover high-impact AI opportunities tied to measurable business outcomes.
Translate ambiguous business challenges into practical AI use cases, operational workflows, prototypes, pilots, and scalable enterprise solutions.
Partner closely with product, engineering, data, operations, legal, and business stakeholders to design, build, test, and operationalize AI-enabled solutions.
Navigate ambiguity and solve complex delivery challenges in fast-paced enterprise and consulting environments.
Lead multiple simultaneous client engagements while balancing speed, quality, stakeholder expectations, operational governance, and business priorities.
Lead implementation of AI-powered workflows, copilots, automation initiatives, and agentic systems across enterprise functions.
Help organizations move AI initiatives from experimentation and isolated pilots into scalable day-to-day operational adoption.
Help structure governance models, delivery frameworks, operational processes, and adoption approaches that enable sustainable enterprise AI transformation.
Work alongside technical and business teams to iterate on AI solutions, refine workflows, validate business value, and scale successful implementations into production environments.
Experiment with emerging AI tools, platforms, orchestration frameworks, and agentic systems to identify practical enterprise applications and scalable operational improvements.
Seek opportunities to improve operational effectiveness through automation, AI-enabled workflows, streamlined operations, and scalable delivery practices.
Define program goals, success metrics, reporting structures, and KPI frameworks tied to adoption, operational efficiency, quality, ROI, and business impact.
Partner with stakeholders to align intake processes, prioritization frameworks, governance models, SLA tracking, risk management, and post-launch measurement.
Identify and proactively manage delivery risks, dependencies, organizational blockers, and escalation paths.
Provide ongoing executive communication, program visibility, and strategic recommendations to leadership teams.
Operate effectively across highly matrixed organizations and engage stakeholders ranging from front-line operators to executive leadership.
Serve as a trusted advisor to client stakeholders across technology, operations, product, and business organizations.
Help organizations adopt AI-enabled ways of working through stakeholder engagement, operational change management, communication, enablement, and governance.
Ensure AI solutions become embedded into day-to-day operations by driving user adoption, workflow redesign, process enablement, and measurable operational improvement.
Support development of repeatable playbooks, frameworks, best practices, and delivery methodologies for scalable enterprise AI transformation.
Mentor consultants, managers, and delivery teams while supporting delivery excellence across engagements.
Support business development efforts including client presentations, solution shaping, proposals, opportunity qualification, and executive discussions.
Contribute to the growth of Sia’s AI transformation practice through thought leadership, internal collaboration, capability building, and go-to-market development.
Build strong long-term client relationships and identify opportunities for expanded transformation support.

Benefits

Competitive Compensation
Annual Base Salary Range: $180,000 - $210,000, commensurate with experience and qualifications
Annual performance based discretionary 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