OVERVIEW
Role Overview
The Principal Consultant operates where strategy, technology, and executive relationships converge. This is the most senior client-facing delivery role in the firm — the person in the room when a CTO is deciding whether to bet on an AI platform, when a VP of Engineering needs someone to tell them what they do not want to hear, or when an engagement is at a critical juncture and the right call needs to be made clearly and fast.
You will own the full arc of major client engagements: shaping the engagement scope alongside sales and leadership, setting the technical and strategic direction, leading delivery teams to outcomes that matter, and managing the executive relationships that determine whether a client becomes a long-term partner or a single transaction. You operate with full autonomy — not because oversight is unavailable, but because your judgment has been earned and your track record speaks.
This role is for a consultant who has done the hard work of building expertise, developed the rare ability to translate complex technical realities into language executives act on, and understands that the highest-value thing a Principal-level practitioner can do is change how a client organization thinks — not just what it builds.
WHAT YOU'LL DO
Project-Specific Expectations
Executive Delivery & Engagement Leadership
• Own the full delivery arc of major client engagements — from initial scoping and kickoff through final executive readout and handoff — with accountability for outcomes, not just activities.
• Set the strategic and technical direction for each engagement: defining the problem correctly, structuring the approach, sequencing the work, and making the calls that keep delivery on track when reality diverges from the plan.
• Lead cross-functional delivery teams — architects, engineers, data scientists, and consultants — providing the clarity of direction, pace of decision-making, and quality standards that determine whether an engagement succeeds.
• Navigate engagement risk with experience: identifying scope creep before it becomes a contract conversation, surfacing delivery risks before they become escalations, and managing executive expectations with honesty and precision.
• Deliver executive-level communications — steering committee presentations, CTO briefings, board-level AI strategy readouts — that are technically grounded, strategically clear, and built to drive decisions rather than inform them.
Executive Relationship Management
• Build and maintain trusted advisor relationships with C-suite and VP-level stakeholders at client organizations — not transactional relationships based on current delivery, but strategic relationships built on demonstrated insight, reliability, and the confidence that comes from being right about hard things.
• Operate fluently across the full executive register: able to challenge a CTO's assumptions with evidence and respect, align a fractured executive team around a path forward, or deliver difficult findings in a way that preserves trust rather than fracturing it.
• Translate between technical and executive worlds without losing fidelity in either direction — because the most dangerous gap in enterprise AI delivery is the one between what engineers know and what executives believe.
• Identify expansion opportunities within existing client relationships — not through upselling, but through genuine understanding of where the client's next significant challenge lies and whether the firm is the right partner to address it.
• Represent the firm at the highest level of client engagement: in strategy sessions, industry events, and executive forums — building the firm's reputation through the quality of your thinking, not the volume of your presence.
Strategic AI Advisory
• Shape how client organizations think about AI: not just what to build, but why, in what sequence, with what governance, and against what definition of business value — providing the strategic advisory that distinguishes a consulting partner from a staff augmentation vendor.
• Lead AI strategy engagements: assessing organizational AI maturity, identifying high-value opportunity areas, defining transformation roadmaps, and building the business case architecture that gets AI investments funded and sustained.
• Stay at the frontier of applied AI: knowing not just what the technology can do today, but which emerging capabilities are approaching enterprise readiness and which are still experimental — and advising clients accordingly with the intellectual honesty that earns long-term trust.
• Connect technical strategy to business strategy: ensuring that AI architecture decisions reflect the client's competitive position, operational constraints, data maturity, and organizational capacity to absorb and sustain change.
Delivery Quality & Team Leadership
• Set the quality bar for every engagement you lead: through direct review of key deliverables, active participation in critical technical decisions, and the consistent modeling of the standards you expect from your team.
• Develop the next generation of consultants — through structured coaching, direct feedback on client interactions, and the deliberate creation of stretch opportunities that accelerate growth.
• Contribute to the firm’s methodology, frameworks, and intellectual property: capturing what works, codifying reusable approaches, and raising the quality ceiling for the entire practice.
• Partner with sales and practice leadership on proposal development, engagement scoping, and go-to-market positioning — bringing delivery credibility and client insight to the commercial process.
REQUIREMENTS
Qualifications
Required
• 12+ years of professional experience in technology consulting, enterprise architecture, or strategic AI advisory — with a demonstrated track record of leading major client engagements at the C-suite level.
• Proven ability to own the full delivery arc of complex, multi-workstream engagements: setting direction, leading teams, managing executive relationships, and delivering outcomes that clients recognize as transformative.
• Deep expertise in enterprise AI — sufficient to advise a technically sophisticated CTO on strategy, challenge a data science team's architectural approach, and explain the difference between hype and production readiness to a board audience.
• Demonstrated executive presence: able to command the attention and confidence of C-suite audiences, navigate difficult conversations without losing trust, and communicate with the clarity and precision that senior decision-makers require.
• Experience building and managing senior client relationships over multiple engagement cycles — with a track record of accounts that expand, renew, and refer.
• The strategic judgment to distinguish a genuinely high-value AI opportunity from one that looks compelling in a slide deck — and the courage to say so clearly when the distinction matters.
• A history of developing consulting talent: through mentorship, structured coaching, and the creation of environments where practitioners grow measurably faster than they would elsewhere.
Preferred
• Deep domain expertise in one or more core verticals — AgTech, Logistics, Financial Services, or Construction — with the industry fluency to engage as a peer with operators, not just as an outside advisor.
• Experience leading AI transformation programs at enterprise scale: from initial strategy through platform build, organizational capability development, and sustained operational performance.
• Background in or significant exposure to commercial consulting: proposal development, engagement pricing, account management, and the dynamics of building a consulting practice rather than just delivering within one.
• Board or C-suite advisory experience — either as an internal executive or as an external advisor to organizations navigating significant technology-driven transformation.
• A recognized voice in the AI or technology consulting community: published perspectives, conference presence, or advisory roles that demonstrate thought leadership beyond individual client engagements.