Role Overview

An AI Strategist at Tribe is the strategic voice at the front of an enterprise AI engagement. You own the pre-build phase — helping clients figure out where to place their AI bets. That means running landscape assessments, facilitating executive alignment, building investment theses, and designing AI transformation roadmaps that are visionary enough to get funded and grounded enough to execute.

This role comes in two modes. As an AI Strategist, you own the strategy workstream for a single client — leading discovery, shaping the AI opportunity, and delivering a clear point of view that sets the engagement up for execution. As a Practice-Level Strategist, you expand to guide Tribe's overall AI strategy offering across multiple clients — developing repeatable frameworks, mentoring junior strategists, and shaping how Tribe thinks about AI advisory at scale. Many AI Strategists will grow from engagement to practice scope over time.

An important distinction: AI Strategists own the strategic altitude — not the execution. Delivery Leads and Technical Leads take the baton once a program is greenlit and drive it to completion. Your job is to ensure that what gets greenlit is the right thing: well-scoped, well-sequenced, and tied to a business case that leadership will actually act on.

You work closely with GMs, Delivery Leads, Solution Architects, and the client's senior leadership team. With the GM in particular, your partnership is foundational: the GM owns the commercial relationship; you own strategic credibility. You help Tribe earn the right to expand from individual projects into broader AI transformation partnerships by becoming a trusted advisor to senior client stakeholders.

Key Responsibilities

Strategy Development & Advisory

• Lead AI strategy engagements end to end: landscape assessments, AI readiness evaluations, use-case prioritization, and transformation roadmap design — from initial scoping through executive sign-off
• Synthesize market intelligence, competitive dynamics, and emerging AI capabilities into clear, actionable strategic recommendations for senior client stakeholders
• Develop investment theses and strategic business cases — including market sizing, build/buy/partner analysis, and ROI framing — that give executives the confidence to make big bets
• Maintain a current, credible point of view on AI trends, model capabilities, and vendor landscape across the industries Tribe serves
• Lead a range of AI strategy engagements, including enterprise AI opportunity assessments, rollout strategies for coding and product copilots, adoption strategies for business-persona AI tools across functions, and customer experience or product strategy redesign through AI.

Client Relationship & Executive Engagement

• Serve as the primary client contact for strategy: facilitating executive workshops, leading working sessions, and guiding leadership teams from uncertainty to a clear direction on AI investment
• Build trust with C-suite and senior stakeholders through intellectual rigor, honest framing, and the ability to hold a room without losing nuance
• Provide clear, concise strategic communication to internal and external audiences — leading with the "so what," not just the analysis
• Navigate complex stakeholder landscapes — aligning perspectives across functions, business units, and leadership levels without defaulting to consensus that dilutes the strategy
• Partner closely with GMs and account leaders to deepen executive relationships and position Tribe as a trusted thought partner on the client’s broader AI transformation agenda.

Opportunity Scoping & Business Case Development

• Define the scope and structure of AI strategy engagements early — clarifying the strategic question, the output, and the criteria for a good answer before the work begins
• Build business cases and investment theses that are rigorous enough to survive scrutiny and clear enough to drive a decision
• Identify and size AI opportunities across the client organization — helping leadership understand not just what's possible, but what's worth doing first
• Surface assumptions, risks, and constraints that could affect strategic direction — and ensure the client has a clear-eyed view of what it will actually take to execute
• Ensure each engagement begins with a well-scoped mandate, clear decision criteria, and measurable value targets so downstream delivery teams are set up to win.

Roadmap Design & Handoff

• Design AI roadmaps at the organizational level — setting the vision, sequencing initiatives, and defining success metrics — then hand off cleanly to Delivery and Engineering to execute
• Ensure strategic recommendations are technically grounded: work closely with Solution Architects and Technical Leads to pressure-test feasibility before the roadmap is finalized
• Define what "done" looks like for the strategy phase — including the artifacts, decisions, and alignments that need to exist before execution begins
• Support the transition from strategy to delivery: briefing Delivery Leads, contributing to SOW framing, and remaining available as a strategic resource during execution

Cross-Functional Collaboration

• Work closely with GMs, Delivery Leads, and Solution Architects to ensure strategic thinking is embedded throughout the engagement — not just front-loaded and forgotten
• Partner with sales and business development to shape how Tribe positions AI strategy offerings and enters new client relationships
• Contribute to Tribe's evolving AI strategy methodology — developing reusable frameworks, assessment tools, and client-facing materials that raise the quality and consistency of our advisory work
• Codify what’s working across engagements — including strategic entry points, adoption prerequisites, value measurement approaches, and roadmap patterns — and translate those learnings into reusable collateral for sales, strategy, and delivery teams.

At Practice-Level Scale: Additional Responsibilities

When an AI Strategist operates at practice scope — advising across multiple clients and shaping Tribe's AI strategy offering — the role shifts from individual engagement delivery to building the function itself. Additional responsibilities include:

• Multi-Client Advisory — Maintain strategic relationships and advisory presence across multiple active clients simultaneously, ensuring Tribe's strategic voice is consistent and credible across engagements
• Framework & Methodology Development — Build and refine the frameworks, templates, and repeatable tools Tribe uses for AI strategy engagements — from readiness assessments to roadmap design
• Thought Leadership — Represent Tribe's strategic point of view externally: contributing to content, speaking at events, and building Tribe's reputation as a credible AI strategy partner
• Mentorship & Elevation — Coach and develop junior strategists and delivery team members on strategic thinking, executive communication, and AI advisory craft
• GM Partnership at Scale — Work with multiple GMs to ensure that strategy is actively supporting commercial growth — not just completing deliverables, but opening doors and deepening relationships
• Market & Capability Sensing — Track the AI landscape continuously and translate what's shifting into implications for Tribe's clients and advisory approach
• Adoption & Transformation Pattern Building — Help Tribe develop a stronger point of view on what drives durable AI adoption inside enterprises, including enablement, governance, change management, and value realization across both technical and non-technical populations.
  

About You

• 7–12 years in management consulting, strategy advisory, or equivalent client-facing advisory roles — with at least 3 years of work specifically focused on AI/ML strategy engagements, not just projects that touched AI
• Proven track record leading AI transformation strategy, AI readiness assessments, or AI use-case prioritization for enterprise clients — you have personally held accountability for the strategic output, not just supported someone who did
• Deep fluency in executive engagement — you've run C-suite workshops, built investment theses that got funded, and presented strategic recommendations that leadership actually acted on
• Comfort operating in the ambiguous, pre-investment phase — you thrive when the question isn't yet defined, and you know how to structure uncertainty into something a client can decide on
• Enough technical literacy to hold credible conversations with engineers, evaluate AI vendors, and know when a strategic recommendation is technically infeasible — without needing to build the solution yourself
• Strong consulting or advisory background — comfortable operating in client-facing environments where credibility is earned quickly and the bar for rigor is high
• Experience shaping AI strategies that go beyond isolated use cases — including enterprise enablement, operating model shifts, workflow transformation, or product/customer experience redesign.
• Able to balance intellectual rigor with pragmatism: you know how to create a point of view that is ambitious enough to matter and concrete enough to act on.
  

Who Thrives in This Role

• Someone who is energized by the ambiguous front-end — where the problem is still being defined and the biggest value is helping the client think, not just delivering an answer
• Brings intellectual rigor without losing sight of what the client actually needs to decide — analysis in service of action, not analysis for its own sake
• Comfortable saying "I don't know yet" to a C-suite stakeholder while still projecting confidence that the process will get them to a good answer
• Holds a high standard for strategic quality — not just "we delivered a roadmap," but "the client actually knows what to do and why"
• Genuine curiosity about AI: you follow what's changing in the landscape because you find it interesting, not just because it's your job
• Enjoys being the strategic counterpart to commercial and delivery leaders — helping win trust early, shape the right mandate, and create the conditions for successful execution.
  

Why Join Tribe

• Shape AI strategy at the highest level inside Fortune 500 enterprises — not slide decks that get shelved, but strategic decisions that move real investment
• Operate at the frontier of applied AI alongside world-class engineers and technical practitioners who will pressure-test your thinking and make your recommendations more credible
• Help build Tribe's AI strategy practice — our strategic advisory function is still evolving and your frameworks, relationships, and methods will directly define how we do this at scale
• Competitive compensation ($200K–$250K), equity, and comprehensive benefits
• High-growth environment where ownership is real and the work is visible at the most senior levels of the organizations we serve.