Senior Manager, Strategy – AI Special Projects and Innovation
San Francisco, California, United States of America
Full Time
2 hours ago
No H1B
Key skills
AIAgenticAnalyticsDecision Making
About this role
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.