Head of AI Solutions Delivery

Responsibilities

• Design and implement delivery frameworks, methodologies, and governance structures that scale AI Solutions revenue by several orders of magnitude over the next 24 months
• Establish clear SOPs, AI‑specific quality gates (eval frameworks, model performance thresholds, hallucination controls), and risk management protocols while maintaining flexibility for client‑specific needs
• Create metrics, dashboards, and reporting systems that provide real‑time visibility into delivery health, margin performance, and customer satisfaction
• Own CSAT, margin, and quality metrics across all AI Solutions and custom development engagements
• Implement early warning systems to identify at‑risk projects and orchestrate rapid intervention
• Conduct regular business reviews with delivery teams to ensure adherence to financial targets and scope management
• Establish post‑mortem and lessons‑learned processes that systematically improve delivery capabilities
• Partner with AI Solutions, Sales, and Customer Success leadership to define outcome‑based delivery models and fixed‑fee engagement structures, and to ensure tight handoffs between Solutions Architects (FDEs) and delivery program managers on every engagement
• Build resource management and capacity planning systems that optimize utilization while preventing burnout
• Provide coaching, mentorship, and capability development to delivery managers and project leads
• Serve as an Executive / Senior Sponsor for strategic enterprise engagements, partnering directly with client executives to shape delivery strategy, mitigate risk, and drive long‑term partnership growth

Qualifications

• 10+ years in delivery management, professional services, or consulting operations, with at least 5 years in leadership roles
• Proven track record building and scaling delivery organizations in high‑growth technology companies ($100M+ in managed revenue, 30+ concurrent projects)
• Deep expertise in process design, project governance, and operational excellence methodologies, with the technical fluency to engage credibly on AI‑specific delivery patterns (evals, model deployment, MLOps, agentic systems)
• Demonstrated success managing complex, outcome‑based engagements with Fortune 500 clients
• Strong financial acumen with experience managing P&L, margin optimization, and resource economics
• Experience in AI/ML solutions delivery or adjacent emerging technology domains (cloud transformation, data engineering, etc.)