Senior Level AI Manager Jobs
Senior level ai manager jobs place experienced professionals in charge of AI strategy, model deployment decisions, and the cross-functional teams that deliver production systems at scale. Roles are concentrated in Technology & Software, Accounting & Auditing, and Banking & Financial Services, with a mix of on-site, hybrid, and remote opportunities, and employers like EY, Deloitte, and Amazon hiring at this level now.
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INTRODUCTION
Sr Manager Growth AI Transformation
Location: Chicago, IL (must be based in, or relocate to, Chicago)
About the Role: This is a newly created senior role at the heart of a large-scale AI transformation agenda within our client's snacking product line. The Sr Manager, Growth AI Transformation will work directly with the Global Head AI Transformation to identify, develop, and scale AI-powered initiatives across the Global Growth function and across regional and local markets worldwide. This is a business role, not a technology role. The ideal candidate is a commercially grounded CPG professional who understands how brands grow through marketing, sales, and consumer insights, and who has used data and AI to accelerate that growth. You will bring enough technical fluency to work credibly alongside engineers, data architects, and platform partners, but you will not build models, write code, or design technical architecture; our technical teams and partners do that. You will be the connective tissue between business ambition and technical execution, orchestrating a broad portfolio of initiatives, managing external partners, and ensuring that what gets built actually lands and creates impact.
KEY RESPONSIBILITIES
1. AI Opportunity Scanning & Industry Intelligence
- Continuously monitor the external AI landscape: tools, platforms, competitor moves, and partner capabilities, to identify where AI can create the most value for our brands and for our Marketing, Sales, and Human Insights teams.
- Translate external signals into opportunity briefs that shape the portfolio roadmap and inform leadership decisions.
- Maintain a point of view on where the industry is heading, ensuring the team's pipeline stays ahead of the curve rather than catching up to it.
2. Portfolio Orchestration & Prioritization
- Grow and manage a mixed portfolio of AI initiatives, including flagship engines and smaller rapid experiments, ensuring appropriate rigor at each stage of development.
- Inform strategic direction of initiatives to support AI transformation and building of new capabilities; identify and manage interdependencies with enterprise-wide AI plays (e.g. Gemini Enterprise, ODAI, Tech-fueled sales); identify AI risks and implement guardrails; orchestrate across workstreams to drive efficiencies; and ensure a seamless end-to-end user experience across initiatives.
- Identify and facilitate escalations and decision-points to and from cross-functional implementation teams and leadership to ensure that timely, informed, evidence-based prioritization decisions are made across competing demands and transformed into tangible next steps.
3. Business Case Development & Stakeholder Alignment
- Lead the structuring and articulation of business cases for new AI initiatives, working in close partnership with Digital, ODDA, Finance & Analytics, and other functions to source funding, to model and measure ROI.
- Own the narrative, translating technical possibilities and data inputs into compelling proposals that secure senior approval and budget.
- Build and maintain strong relationships with stakeholders across the Global Growth function and in regional markets, and lead discussions in key leadership forums.
4. Agile Delivery Oversight & External Partner Management
- Act as the strategic manager across rapid/agile delivery teams and external partners (e.g. Writer, Google, Fractal, Publicis).
- Define ways of working, set clear deliverables and accountability structures, and ensure development stays aligned to intended business outcomes.
- Apply sufficient technical fluency to challenge, unblock, and redirect technical and partner teams where needed, without replacing the engineers and data scientists.
5. Scaling, Governance & Change Enablement
- Own the path from pilot to scale for validated initiatives, navigating the varying governance and compliance processes across regions.
- Coordinate deployment prioritization across initiatives and inform the development of training and communication materials in partnership with Capability Building teams.
- Drive adoption by ensuring that what gets built is understood, embraced, and actually used by the teams it's designed for by aligning to growth objectives and through continuous user feedback loops.
BASIC QUALIFICATIONS
- CPG / FMCG background required, ideally in snacking, confectionery, or food & beverage, with hands-on experience in a commercial function (Marketing, Brand, Sales, Revenue Growth Management, or Consumer Insights) or in strategy consulting to those functions.
- 8+ years of experience in commercial strategy, product strategy, or digital/AI transformation roles within complex organizations, including leading data or AI-enabled products that serve commercial teams.
- Demonstrated experience growing a portfolio of advanced analytical products from ideation through to scaling, demonstrating strong ROI delivery.
- Strong business case authorship, the ability to build the 'why this, why now, why us' narrative for senior audiences.
- Demonstrated experience writing contracts, managing and holding accountable external agencies or technology partners.
- Demonstrated experience building cutting-edge advanced analytical capabilities and managing cross-functional teams through a complex organization.
- Technical fluency sufficient to engage credibly with data scientists, architects, engineers, responsible AI board and AI platform teams. This is not a hands-on engineering, AI architecture, or software development role.
- Comfort operating in a broad, fast-moving portfolio, able to switch between strategic thinking and hands-on delivery.
- Outstanding communication and stakeholder management skills across cultures and seniority levels.
KEY ASSUMPTIONS
- Assumes dedicated support from Finance and Data & Analytics for quantitative modelling within business cases.
- Assumes dedicated support from the Data Office for data governance (this role bridges data stewardship within the business; it does not lead).
- Assumes access to project management resource (internal or partner) for delivery coordination on larger initiatives.
- Assumes Digital Technologies and Data Architecture own technical design and infrastructure decisions; this role bridges, not replaces, that expertise.
- Assumes Brand, Human Insights, and Growth Capabilities associates are embedded into initiative teams as subject-matter contributors.
- Assumes external partners are already contracted or in a procurement pipeline; this role manages the work, not the commercial relationship.
INTRODUCTION
Sr Manager Growth AI Transformation
Location: Chicago, IL (must be based in, or relocate to, Chicago)
About the Role: This is a newly created senior role at the heart of a large-scale AI transformation agenda within our client's snacking product line. The Sr Manager, Growth AI Transformation will work directly with the Global Head AI Transformation to identify, develop, and scale AI-powered initiatives across the Global Growth function and across regional and local markets worldwide. This is a business role, not a technology role. The ideal candidate is a commercially grounded CPG professional who understands how brands grow through marketing, sales, and consumer insights, and who has used data and AI to accelerate that growth. You will bring enough technical fluency to work credibly alongside engineers, data architects, and platform partners, but you will not build models, write code, or design technical architecture; our technical teams and partners do that. You will be the connective tissue between business ambition and technical execution, orchestrating a broad portfolio of initiatives, managing external partners, and ensuring that what gets built actually lands and creates impact.
KEY RESPONSIBILITIES
1. AI Opportunity Scanning & Industry Intelligence
- Continuously monitor the external AI landscape: tools, platforms, competitor moves, and partner capabilities, to identify where AI can create the most value for our brands and for our Marketing, Sales, and Human Insights teams.
- Translate external signals into opportunity briefs that shape the portfolio roadmap and inform leadership decisions.
- Maintain a point of view on where the industry is heading, ensuring the team's pipeline stays ahead of the curve rather than catching up to it.
2. Portfolio Orchestration & Prioritization
- Grow and manage a mixed portfolio of AI initiatives, including flagship engines and smaller rapid experiments, ensuring appropriate rigor at each stage of development.
- Inform strategic direction of initiatives to support AI transformation and building of new capabilities; identify and manage interdependencies with enterprise-wide AI plays (e.g. Gemini Enterprise, ODAI, Tech-fueled sales); identify AI risks and implement guardrails; orchestrate across workstreams to drive efficiencies; and ensure a seamless end-to-end user experience across initiatives.
- Identify and facilitate escalations and decision-points to and from cross-functional implementation teams and leadership to ensure that timely, informed, evidence-based prioritization decisions are made across competing demands and transformed into tangible next steps.
3. Business Case Development & Stakeholder Alignment
- Lead the structuring and articulation of business cases for new AI initiatives, working in close partnership with Digital, ODDA, Finance & Analytics, and other functions to source funding, to model and measure ROI.
- Own the narrative, translating technical possibilities and data inputs into compelling proposals that secure senior approval and budget.
- Build and maintain strong relationships with stakeholders across the Global Growth function and in regional markets, and lead discussions in key leadership forums.
4. Agile Delivery Oversight & External Partner Management
- Act as the strategic manager across rapid/agile delivery teams and external partners (e.g. Writer, Google, Fractal, Publicis).
- Define ways of working, set clear deliverables and accountability structures, and ensure development stays aligned to intended business outcomes.
- Apply sufficient technical fluency to challenge, unblock, and redirect technical and partner teams where needed, without replacing the engineers and data scientists.
5. Scaling, Governance & Change Enablement
- Own the path from pilot to scale for validated initiatives, navigating the varying governance and compliance processes across regions.
- Coordinate deployment prioritization across initiatives and inform the development of training and communication materials in partnership with Capability Building teams.
- Drive adoption by ensuring that what gets built is understood, embraced, and actually used by the teams it's designed for by aligning to growth objectives and through continuous user feedback loops.
BASIC QUALIFICATIONS
- CPG / FMCG background required, ideally in snacking, confectionery, or food & beverage, with hands-on experience in a commercial function (Marketing, Brand, Sales, Revenue Growth Management, or Consumer Insights) or in strategy consulting to those functions.
- 8+ years of experience in commercial strategy, product strategy, or digital/AI transformation roles within complex organizations, including leading data or AI-enabled products that serve commercial teams.
- Demonstrated experience growing a portfolio of advanced analytical products from ideation through to scaling, demonstrating strong ROI delivery.
- Strong business case authorship, the ability to build the 'why this, why now, why us' narrative for senior audiences.
- Demonstrated experience writing contracts, managing and holding accountable external agencies or technology partners.
- Demonstrated experience building cutting-edge advanced analytical capabilities and managing cross-functional teams through a complex organization.
- Technical fluency sufficient to engage credibly with data scientists, architects, engineers, responsible AI board and AI platform teams. This is not a hands-on engineering, AI architecture, or software development role.
- Comfort operating in a broad, fast-moving portfolio, able to switch between strategic thinking and hands-on delivery.
- Outstanding communication and stakeholder management skills across cultures and seniority levels.
KEY ASSUMPTIONS
- Assumes dedicated support from Finance and Data & Analytics for quantitative modelling within business cases.
- Assumes dedicated support from the Data Office for data governance (this role bridges data stewardship within the business; it does not lead).
- Assumes access to project management resource (internal or partner) for delivery coordination on larger initiatives.
- Assumes Digital Technologies and Data Architecture own technical design and infrastructure decisions; this role bridges, not replaces, that expertise.
- Assumes Brand, Human Insights, and Growth Capabilities associates are embedded into initiative teams as subject-matter contributors.
- Assumes external partners are already contracted or in a procurement pipeline; this role manages the work, not the commercial relationship.
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Top Industries Hiring
- Technology & Software43
- Accounting & Auditing6
- Banking & Financial Services4
- Consulting & Professional Services4
- Retail3
Senior Level AI Manager Jobs: Frequently Asked Questions
How do I get a senior level ai manager job?
Employers at this level look for candidates who have owned end-to-end AI initiatives, not just contributed to them. Demonstrating that you have set technical direction, navigated stakeholder trade-offs, shipped models to production, and grown the capabilities of a team carries more weight than credentials alone. A portfolio of outcomes, not tasks, is what moves a senior-level application forward.
Which companies hire senior level ai managers?
Companies hiring senior level ai managers right now include EY, Deloitte, and Amazon, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including large technology firms, enterprise software companies, financial institutions, and consulting groups building out dedicated AI practices.
Are there remote senior level ai manager jobs?
Yes, though availability varies by industry and company stage. About 41% of senior level ai manager openings are remote or hybrid as of November 2026, reflecting strong demand from employers willing to hire experienced leaders outside their headquarters market. On-site roles tend to cluster at companies with large in-house research or infrastructure teams.
What makes an ai manager role senior level?
Senior level ai manager roles are defined by scope and ownership. Where mid-level roles execute within an established roadmap, senior roles set that roadmap, own the outcomes, and are accountable for how AI systems perform in production. They also carry a mentoring and organizational responsibility, shaping how junior and mid-level practitioners on the team develop and work.
Which industries hire the most senior level ai managers?
Senior Level ai manager roles concentrate in Technology & Software, Accounting & Auditing, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are deploying AI at meaningful scale, which creates demand for experienced leaders who can manage complexity, align technical decisions with business goals, and build durable teams around them.