Head of AI Solutions Delivery

Andela

1d • Remote

About The Position

Andela is transforming from a talent marketplace into an AI services leader, building a differentiated position at the intersection of elite technical talent and cutting-edge AI solutions. We're growing our revenue exponentially through a blended model of optimized staffing, solutions delivery, and platform innovation. Our AI Solutions business is a strategic growth area with ambitious scaling plans and a mandate to redefine how enterprises build and deploy production AI systems.

We're seeking a Head of AI Solutions Delivery to build and lead the operational backbone of our rapidly scaling AI Solutions (outcome-oriented) business. This is a pivotal role for someone who thrives at the intersection of rigorous process discipline and entrepreneurial agility; someone who can establish world-class delivery standards while simultaneously adapting to the dynamic realities of a net-new, high-growth business.

You’ll be responsible for ensuring every customer engagement delivers exceptional outcomes: high CSAT, healthy margins, and demonstrable quality. You’ll do this through intelligent systems, scalable processes, and a culture of continuous improvement. The role requires someone who can be the “adult in the room” and the innovative voice pushing boundaries at the same time.

The Head of AI Solutions Delivery is a peer to the Head of AI Solutions, who leads our AI Solutions Managers and AI Solutions Architects (our Forward-Deployed Engineering function). Together, these two functions form the operating backbone of AI Solutions: AI Solutions builds the technical solution and embeds with the client. Delivery builds the program management muscle, methodology, and operational systems that make those engagements predictable, profitable, and scalable.

This role inherits Andela’s existing AI Solutions delivery team and is responsible for scaling it with a new generation of program managers who combine traditional PM rigor with technical and industry fluency. The expectation is straightforward: program managers in this function understand the AI technology they ship and the industries their clients operate in. Generic PM skills are table stakes, not the differentiator.

Requirements

• 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. Deep experience with outcome-based or fixed-fee delivery models.
• 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. You know which risks to take and which to escalate
• 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

Nice To Haves

• 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

Responsibilities

• Build Delivery Excellence Infrastructure: 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.
• Co-develop delivery playbooks for common AI Solution patterns (agentic systems, RAG implementations, eval pipelines, model fine-tuning engagements, multi-agent orchestration, and industry-specific AI use cases) that accelerate delivery while maintaining quality.
• Drive Operational Performance: 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.
• Scale Through Process Innovation: 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.
• Create staffing models and talent frameworks that match client needs with appropriate skill profiles.
• Deploy agentic and AI-native tooling (e.g. Claude Code, MCP integrations, multi-agent workflows) inside the delivery function itself to compress reporting, status, and program management overhead by orders of magnitude.
• Enable Teams and Manage Risk: Provide coaching, mentorship, and capability development to delivery managers and project leads.
• Establish escalation protocols and governance structures for high-stakes client situations, and operationalize Andela’s enterprise compliance posture (SOC 2, ISO 27001, ISO 42001) within delivery.
• Balance risk management with calculated risk-taking to accelerate learning and market differentiation.
• Foster a culture of transparency, accountability, and continuous improvement across delivery teams.
• Drive Strategic Partnerships: 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.
• Collaborate with Sales, Customer Success, and Product teams to ensure seamless handoffs and integrated customer experience.
• Partner with Talent Fulfillment Operations to ensure availability of properly skilled resources for AI Solutions and custom development engagements.
• Work with Finance to refine margin models, pricing strategies, and financial forecasting for delivery operations, and implement new system(s) to automate reporting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed