Senior Strategist

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Strategist based in United States . Join an innovative technology consulting team helping enterprises turn artificial intelligence and digital transformation opportunities into practical business outcomes. As a Senior Strategist, you will lead complex client engagements from initial discovery and problem definition through strategic recommendations, business cases, and implementation roadmaps. You will work at the intersection of business strategy, AI engineering, product design, and enterprise operations, identifying opportunities where intelligent automation can deliver measurable value. Partnering with senior client stakeholders and cross-functional delivery teams, you will translate ambiguity into actionable plans and guide critical decisions with confidence. You will also explore AI-powered tools and rapid prototyping techniques to validate ideas and accelerate delivery. This remote opportunity is ideal for an experienced strategist who combines analytical rigor, technical curiosity, strong client leadership, and a hands-on approach to innovation. Accountabilities - Lead end-to-end strategy engagements: Own discovery, problem framing, opportunity identification, prioritization, roadmap development, and pilot planning for AI and digital transformation initiatives. - Identify opportunities for business improvement: Map customer journeys, operational workflows, and decision points to uncover opportunities for AI, automation, and digital solutions that deliver measurable business value. - Develop compelling business cases: Quantify potential impact, define key performance indicators, assess feasibility, and align executive and operational stakeholders around expected outcomes and success criteria.

- Make strategy tangible through prototyping: Develop lightweight prototypes, AI agent demonstrations, and proof-of-concept experiences that help clients evaluate ideas and validate solutions before implementation. - Prepare business knowledge for AI applications: Collaborate with client subject matter experts to structure institutional knowledge into AI-ready assets, including prompt libraries, evaluation examples, and retrieval datasets. - Establish responsible AI governance: Design practical governance approaches that reflect client risk profiles and address privacy, responsible AI principles, human oversight, and escalation procedures. - Facilitate rapid testing and iteration: Engage real users and operational teams early, gather feedback, test assumptions, and refine recommendations based on evidence. - Bridge business and technical teams: Translate strategic objectives into actionable requirements and collaborate with design, data, engineering, and change management teams to support successful delivery. - Apply AI tools to strategy and delivery: Integrate tools such as Claude, Claude Code, Cursor, and Figma AI, along with relevant agentic frameworks, into daily workflows to accelerate research, analysis, prototyping, and execution. - Lead high-impact client sessions: Independently facilitate executive briefings, ideation workshops, and process redesign sessions that help stakeholders resolve ambiguity and agree on clear next steps. - Build trusted client relationships: Serve as a consultative partner to senior stakeholders, communicating complex findings, strategic trade-offs, and recommendations in a clear and persuasive manner. - Drive prioritization and scope decisions: Balance business value, technical feasibility, risk, available resources, and delivery timelines when defining engagement priorities. - Promote outcome-oriented thinking: Challenge solution-first assumptions when necessary and ensure recommendations remain focused on measurable business impact.