AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
AHEAD is seeking a Principal Consultant, AI Services to help enterprise clients move from AI ambition and experimentation to measurable business impact.
In this role, you will lead high-impact client engagements with senior business and technology executives. You will help clients identify where AI can create value, prioritize use cases, build business cases and roadmaps, design operating models and governance, and mobilize implementation with AHEAD’s broader teams of consultants, architects, engineers, and specialists.
This is a leadership role for a consulting professional who can operate at the intersection of strategy, technology, business transformation, and execution. The ideal candidate brings top-tier consulting discipline, strong executive communication, structured problem solving, and enough AI / technology fluency to guide multidisciplinary teams — without needing to be a hands-on ML engineer.
We are especially interested in candidates who have operated in roles equivalent to Engagement Manager, Project Leader, Senior Manager, or Director in strategy consulting, technology advisory, digital transformation, or enterprise technology environments.
What You’ll Do
Lead client engagements from strategy through execution
- Lead complex AI and digital transformation engagements from initial diagnostic through roadmap design, implementation planning, and execution support.
- Structure ambiguous client problems into clear hypotheses, workplans, analyses, decision points, and executive-ready deliverables.
- Manage day-to-day engagement delivery, including workstream planning, team leadership, synthesis, quality control, issue resolution, timelines, and client communication.
- Facilitate executive workshops and align senior stakeholders across business, technology, data, risk, and operations.
- Serve as a trusted advisor to client leaders on where AI can create measurable value and what is required to scale it responsibly.
2. Shape AI strategy, transformation roadmaps, and business cases
- Identify and prioritize AI opportunities across productivity, growth, customer experience, decision-making, software delivery, and operational efficiency.
- Conduct AI maturity and readiness assessments across strategy, data, platforms, governance, talent, process, and change management.
- Build practical AI roadmaps that sequence pilots, platform enablers, governance actions, operating model changes, and value realization milestones.
- Develop business cases and value-tracking approaches that connect AI initiatives to measurable client outcomes.
- Help clients redesign workflows and operating processes to capture value from AI, automation, and agent-assisted ways of working.
3. Partner with technical teams to move ideas into implementation
- Translate business priorities into implementation-ready initiatives in partnership with architects, engineers, data specialists, and security/governance experts.
- Help define pilot scope, success metrics, adoption plans, governance requirements, and scale-up pathways.
- Ensure AI recommendations are practical, credible, and grounded in enterprise technology realities.
- Bridge communication between executive stakeholders and technical delivery teams.
4. Lead and develop teams
What You’ll Bring
Required qualifications
- Typically 7–12+ years of experience in management consulting, technology advisory, digital transformation, enterprise technology, AI strategy, or related client-facing roles.
- Proven experience leading client engagements, workstreams, or project teams with senior business and technology stakeholders.
- Strong structured problem-solving skills, including the ability to break down ambiguous problems, develop hypotheses, conduct analysis, synthesize insights, and communicate recommendations.
- Excellent executive communication and facilitation skills, including experience creating and presenting senior-leadership-ready materials.
- Experience in one or more of the following areas: AI strategy, digital transformation, use case prioritization, business case development, process redesign, automation, operating model design, AI governance, or technology-enabled transformation.
- Sufficient AI and technology fluency to work credibly with business leaders, CIO / CTO organizations, architects, engineers, data teams, and risk/governance stakeholders.
- Demonstrated ability to lead teams, coach talent, manage timelines, and maintain a high bar for client-ready work.
Preferred qualifications
- Background in top-tier management consulting, Big 4 advisory, technology consulting, enterprise transformation, or a similar high-performing professional services environment.
- MBA or other advanced degree preferred.
- Experience working with AI, data, cloud, software delivery, MLOps, responsible AI, or enterprise technology platforms.
- Experience helping clients move from strategy and roadmap development into pilot delivery, implementation, adoption, and value realization.
- Prior experience supporting business development, proposal development, account growth, or practice-building activities.
What is not required
- You do not need to be a hands-on machine learning engineer.
- You do not need to have deep coding experience.
- You do need to be comfortable leading business and technology conversations, asking the right questions, and translating between executive priorities and technical delivery realities.
