Manager, AI Learning Strategy & Enablement (P4564)
84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
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Manager, AI Learning Strategy & Enablement (P4564)
ROLE SUMMARY
The Lead AI Learning Manager is responsible for leading the strategy, execution, and ongoing operations of enterprise AI and technical education. This role blends program management, product management, and learning & development leadership to build scalable, measurable AI learning experiences that accelerate adoption, productivity, and responsible AI use. Operating with the rigor of a product organization, this role owns learning roadmaps, delivery rhythms, stakeholder alignment, and outcomes. A successful candidate is expected to independently lead complex, cross‑functional initiatives, translate strategy into execution, and influence senior stakeholders without formal authority. The role balances strategic thinking with hands‑on delivery and team leadership.
KEY RESPONSIBILITIES
AI Learning Strategy & Portfolio Ownership- set direction, prioritization, and long-term value of AI learning as a product.
- Execute the AI learning strategy and program plan aligned to enterprise AI priorities and workforce needs
- Operate AI learning as a product portfolio, including vision, roadmaps, backlogs, prioritization, and lifecycle management
- Define and track success metrics such as literacy, engagement, adoption, and applied impact
Cross-Functional Alignment & Enterprise Partnerships- Influence, coordinate, and integrate across a matrixed organization.
- Navigate and influence across matrixed org of Technology, Corporate, and Frontline learning to deliver a cohesive AI education plan grounded in needs analysis, personas and learning experiences
- Partner with Functional, HR, Change Management, and Business leaders to ensure learning is practical, applied, and aligned to real tools and workflows
- Partner with the broader Enterprise AI Enablement organization to translate tools, responsible usage, and domain needs into learning programs
Program Delivery, Planning & Continuous Improvement- Bring executional rigor and operational excellence.
- Lead quarterly planning, delivery rhythms, retrospectives, and continuous improvement for AI learning initiatives
- Communicate progress, insights, and outcomes clearly to senior stakeholders
- Keep content governed and current
Team Leadership & Capability Building- Strong people leadership and sustainable ways of working.
- Manage and develop a cross-functional AI education team, setting clear expectations and ways of working
- Champion the creation of development and compliance-based trainings in support of AI workforce transformation
Platform, Vendor & Content Management- Consider scale, quality, and ecosystem management.
- Own vendor relationships, learning platforms, and content strategy to ensure scale and quality
- Integrate platform, content and broader vendor decisions into the enterprise AI platform strategy, balancing need to accommodate rapid change and foundational durable concepts.
- Partner with VP of AI Enablement on optimal use of budget across platform and content providers
REQUIRED QUALIFICATIONS
- 7+ years of experience in program management, product management, learning & development, or technical enablement.
• Demonstrated experience leading complex, cross‑functional initiatives in ambiguous environments.
• Strong understanding of modern product and agile practices.
• Excellent stakeholder management, communication, and influencing skills.
PREFERRED QUALIFICATIONS
- Experience building or scaling enterprise AI, data, or technical learning programs.
• Familiarity with skills‑based learning models and learning platforms.
• Experience using AI tools to improve learning operations or learner experience.
Pay Transparency and Benefits
- The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
- Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Pay Range
$125,000 - $207,000 USD
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