Director of Consulting (AI)

Company

Develops enterprise technology and consulting solutions that combine Blueprint-driven delivery and AI to help clients transform how work gets done.

What you will do

• Lead consulting managers and senior consultants while coaching a high-performing delivery organization.
• Own client outcomes, portfolio health, delivery risk, forecasting, utilization, margin, and resource planning.
• Set the standard for Blueprint-led delivery and reduce idea-to-outcome cycle time across the portfolio.
• Build trusted relationships with executive stakeholders and partner with global Go-to-Market teams across APAC, EMEA, and the Americas.
• Grow strategic accounts by identifying unmet needs, expanding use cases, and shaping future opportunities.
• Develop consulting capabilities, succession depth, and future leaders through mentoring and continuous learning.

Requirements

• 15+ years of experience in enterprise consulting or delivery, including 5+ years in strategic people leadership.
• Demonstrated record of delivering measurable client outcomes rather than only completing projects.
• Experience with client engagement, enablement strategy, mentoring, succession planning, and global delivery models.
• Experience owning the commercial health of a delivery portfolio, including margin, utilization, and account growth.
• Strategic, empathetic leadership with strong communication across technical, business, and executive audiences.
• Credible understanding of AI and the ability to orchestrate its responsible use to improve client outcomes.

Nice to have

• Experience delivering Pega solutions and using Blueprint-led delivery.
• Experience embedding AI, ML, or intelligent automation into consulting delivery or client solutions.
• Experience leading measurable diversity, equity, and inclusion initiatives.
• Experience incubating and scaling new service offerings or delivery accelerators.

Culture & Benefits

• Continuous learning and development opportunities.
• Innovative, inclusive, agile, flexible, and collaborative work environment.
• Global benefits program with pay and bonus incentives.
• Employee equity participation.
• Investment in AI-enabled learning, innovation, and responsible adoption across engineering practices.