AI Advisory Principal

What You'll Own

• Lead engagements end-to-end as the Directly Responsible Individual: own the client relationship, run workshops, lead the final readout, drive direction, and be accountable for outcomes including use-case selection, SOW quality, and delivery. Coordinate and direct Solutions Engineers, Designers, Tech Leads, and DSGs without direct management.
• Sell Advisory in your vertical: build the approach, lead the Advisory portion of key pre-sales meetings, bring industry roadmap examples from buyer peers, qualify opportunities with Account Executives, and represent Scale and Advisory at industry events.
• Build the vertical point of view: develop your vertical's POV on AI-shaped problems, best practices, technology, learnings, buyer-peer and competitor intelligence to make Advisory credible.
• Grow the playbook from the field: surface what's working and what isn't across engagements, document patterns and reusable approaches, and work with DSGs to update the Advisory approach based on build feedback.
• Manage your Consultant: coach them, give feedback, own their professional development, and provide input on Consultant hiring.

Qualifications

Ideally, you’d have:

• Senior manager or principal equivalent experience at a Tier 1 firm (McKinsey, Bain, BCG ideally); 7+ years of work experience. AI strategy or transformation experience strongly preferred.
• Scoping, proposal, and pitching experience — comfortable shaping and selling an engagement, not just delivering it.
• The judgment to advise clients directly on where AI creates value — identifying and shaping the right, AI-shaped use cases for their business.
• The technical credibility to speak to AI builds and to work closely with Solutions Engineers on feasibility.
• A classic consulting toolkit e.g. strategy, operating-model, governance, change management, and exec-ready storytelling to assist clients in developing an AI strategy.
• Experience designing and facilitating client workshops.
• A natural relationship-builder who establishes trusted-advisor credibility early, paired with the judgment to own outcomes independently.
• Strategic but hands-on: able to think at the level of a client's AI agenda and still get into the day-to-day work of an engagement.
• Willingness to travel 30-60 percent, which can include international trips depending on the account.

Nice to Have

• Deep expertise in at least one enterprise vertical (Consumer, Financial & Professional Services, Healthcare & Life Sciences) — the industry depth to be credible with senior stakeholders.
• 0-to-1 experience developing or deploying GenAI applications in an enterprise setting.