Staff AI Product Solutions Manager (Remote)

Kohl’s is seeking a Staff AI Product Solutions Manager to identify and advance enterprise AI opportunities that deliver measurable business value. The role leads opportunity assessment, use-case definition, experimentation, and translation of validated AI solutions into implementation guidance, while partnering with business and technology teams on adoption and measurement.

Responsibilities:

• Partner with business and technology leaders to identify, assess, and prioritize AI opportunities based on business value, feasibility, risk, and organizational readiness
• Define AI use cases, target outcomes, success measures, user needs, and adoption considerations for enterprise AI capabilities
• Lead discovery and rapid experimentation, including use of synthetic user personas and simulation environments, to validate user value, model performance, technical feasibility, and cost-to-serve before broader investment or scale
• Drive build-versus-buy assessments for AI capabilities, platforms, open-weights models, commercial foundation models vs. fine-tuning in-house Small Language Models (SLMs)), and vendor solutions in partnership with Enterprise Architecture, Engineering, Procurement, Legal, and Security
• Establish product direction for probabilistic and agentic experiences, including appropriate guardrails, human-in-the-loop workflows, escalation paths, and acceptable performance thresholds
• Author natural-language “context Specs”, “agent playbooks”, and manage “probabilistic tolerances” for multi-agant systems and workflows
• Translate validated AI solutions into capability briefs, reusable patterns, and implementation guidance that enable delivery teams to scale solutions consistently
• Partner with delivery, change management, and business teams to develop adoption plans and ensure AI capabilities are embedded into workflows in ways that drive measurable outcomes
• Define and monitor value, quality, risk, and cost metrics (establishing unit economics of compute, evaluating token costs and balancing model accuracy with latency); use insights to recommend whether to scale, refine, pause, or retire AI solutions
• Communicate complex AI concepts, tradeoffs, recommendations, and outcomes clearly to executive and cross-functional stakeholders
• Provide thought leadership on emerging AI capabilities, practices, and responsible adoption across the enterprise
• Additional tasks may be assigned

Requirements:

• Bachelor's degree in Business, Technology, Data/Analytics, Computer Science, or related field; equivalent experience considered
• 7+ years of experience in product strategy, managing concurrent product portfolios, digital transformation, technology, or related work
• 3+ years leading AI, machine learning, data platform, or other complex technology initiatives
• Experience taking AI or technology opportunities from discovery through implementation and measurement
• Knowledge of modern AI concepts, including Large Language Models (LLMs), retrieval-augmented generation (RAG), model evaluation, and non-deterministic systems
• Experience assessing value, feasibility, risk, and investment tradeoffs across cross-functional partners
• Experience using business, product, operational, or financial metrics to guide decisions
• Advanced degree, certification, or training in a relevant business or technical discipline
• Experience with AI vendor evaluation and build-versus-buy decisions
• Familiarity with AI architecture and tooling, such as vector databases, agent orchestration, or Model Context Protocol (MCP) and tool-calling interfaces
• Experience in a centralized AI, hub-and-spoke, or center-of-excellence model
• Experience managing AI platform, compute, inference, or vendor costs