Senior Manager, Strategy – AI Special Projects and Innovation

Role Overview

• Own a portfolio of AI special projects across value streams, often running five or more initiatives at a time, with clear outcomes, scope, milestones, and success measures.
• Lead proof of concept delivery from problem framing and discovery through build, test, launch, and measurable learning, then drive the path to scale with partner teams.
• Build and operationalize innovation frameworks that make experimentation repeatable, including intake, evaluation criteria, governance checkpoints, and decision making rhythms.
• Own stores as a focus area within the portfolio, shaping initiatives that improve frontline workflows, experience quality, and operational efficiency.
• Lead cross journey initiatives where value streams intersect, for example a customer facing product copywriting agent that improves content quality and speed while meeting brand and compliance standards.
• Partner with Security, Risk, Legal, and Technology leaders to define practical guardrails for AI agents and other AI enabled experiences, including control requirements, testing expectations, and monitoring needs.
• Drive horizontal capability work such as shared tooling, reusable components, observability and evaluation approaches, and governance mechanisms that reduce duplication and accelerate adoption.
• Expand AI impact into distribution centers, transportation, and adjacent operational environments when relevant, partnering with supply chain and operations teams to design, pilot, and transition solutions.
• Create executive ready narratives and decision materials that connect feasibility, risk posture, and business value to enable prioritization and sustained investment.

Requirements

• 7 to 12 years of experience in technology strategy, innovation, product, or program delivery across multiple domains or equivalent experience.
• Demonstrated ability to deliver proofs of concept and translate learnings into scalable solutions through strong cross functional partnership.
• Practical fluency in modern AI capabilities, including agentic patterns, automation, and analytics, with the ability to evaluate feasibility, integration considerations, and tradeoffs.
• Strong judgment in responsible AI delivery, including governance, privacy, and security considerations, and a track record of enabling progress with clear guardrails.
• Ability to manage a multi workstream portfolio, drive decisions, and communicate clearly with both technical and non technical stakeholders.
• Ability to influence without authority, facilitate working sessions, and resolve dependencies across teams.
• Comfort working across stores, corporate teams, and operational environments such as distribution centers and transportation.

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development