Head of AI Solutions Delivery
Remote · United Kingdom or Brazil
Job Summary
Head of AI Solutions Delivery to build delivery excellence infrastructure and scalable governance for Andela's AI Solutions business. Own delivery metrics, customer outcomes (CSAT, margins, quality), and post-engagement value through scalable processes, SOPs, and real-time dashboards. Lead a team of program managers and delivery professionals, develop delivery playbooks for AI solution patterns (agentic systems, RAG, eval pipelines, model fine-tuning, multi-agent orchestration), and define outcome-based/fixed-fee engagement models in collaboration with Sales, Customer Success, and Finance. Drive capacity planning, resource optimization, and risk management while partnering with executives to shape long-term strategy and enterprise partnerships.
Required 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.)
- Systems Builder: You've built delivery frameworks from scratch, bring intellectual rigor to ambiguous problems, and know when to enforce standards versus when to flex
- Metrics-Driven: You live in data, build dashboards others actually use, and can spot patterns before they become problems
- Risk Calibrated: You anticipate failure modes and build mitigation strategies, while also running experiments and failing fast in service of learning
- Change Leader: You can drive adoption of new processes in organizations that may resist structure
- Talent Developer: You invest in growing future leaders and treat team-building with the same craft as system-building
- Preferred Experience: Experience in professional services or consulting firms (Big 4, MBB, boutique AI consultancies, Hyperscalers)
- Background in AI/ML product development or solutions delivery
- Experience working in startup or scale-up environments with rapid organizational change
- Technical background or ability to engage credibly with senior engineering leaders
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