Head of AI Solutions Delivery
- Role
- Project Management
- Experience
- C-Level
- Employment
- Full-time
Open to CA, US, MX only. Set where you work from to check your eligibility.
No BS summary
Senior delivery-leadership role building the operational backbone for Andela's AI Solutions business. Needs 10+ years (at least 5 in leadership) scaling delivery orgs at $100M+ tech companies, full ownership of CSAT, margins and quality, deep AI/ML technical fluency, and the ability to design process and governance from scratch. North America remote.
Head of AI Solutions Delivery
About Andela
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.
The Opportunity
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.
How This Role Fits
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.
Exceptional Leadership:
As an Andelan, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you. If it usually sounds like the below, we want to hear from you.
- Low ego, low drama: You share credit, take blame. You like being wrong because it means someone else had an even better idea.
- One team mentality: You break silos across teams. You put the company and mission first above your team alone.
- Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen.
- Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
- Team-player: You roll up your sleeves and get scrappy. You do this by proactively collaborating with your team while actively engaging in important details that matter.
- Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.
What You'll Do
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 You Bring
Required Experience
- 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.)
Required Capabilities
- 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
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
Why This Role Matters
The diffusion gap is the defining bottleneck of this AI cycle. Enterprises have the models. They don’t have the operational muscle to put them into production at scale. Andela is one of the few companies positioned to close that gap, with partnerships across AI Labs, Hyperscalers and strategy consulting firms, and a global Talent Network that competitors can’t replicate.
What we don’t yet have, at the scale we need it, is the operational engine that turns those advantages into predictable enterprise outcomes. That’s the work. Every framework you build, every playbook you ship, every program manager you develop will directly compound how fast Andela can deliver against this opportunity.
If you're energized by the challenge of bringing structure to ambiguity, building systems that empower rather than constrain, and scaling a business where the playbook is still being written, this role is for you.
#LI-REMOTE
#LI-RDR
What you'll do
- Design and implement delivery frameworks, methodologies, and governance structures to 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 needs
- Create metrics, dashboards, and reporting systems providing real-time visibility into delivery health, margin performance, and customer satisfaction
- Co-develop delivery playbooks for common AI solution patterns (agentic systems, RAG, eval pipelines, model fine-tuning, multi-agent orchestration)
- Own CSAT, margin, and quality across all AI Solutions and custom development engagements
- Implement early warning systems for at-risk projects and orchestrate rapid intervention
- Conduct regular business reviews with delivery teams to ensure 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 structures with tight handoffs between Solution Architects and delivery program managers
- Build resource management and capacity planning systems that optimize utilization but avoid burnout
- Create staffing models and talent frameworks matching client needs to skill profiles
- Deploy agentic and AI-native tooling (e.g., Claude Code, MCP) inside the delivery function to compress reporting, status, and program overhead
- Provide coaching, mentorship, and capability development to delivery managers and project leads
- Establish escalation protocols and governance for high-stakes client situations, operationalizing Andela's compliance posture (SOC 2, ISO 27001, ISO 42001)
- Balance risk management with calculated risk-taking for learning and differentiation
- Serve as Executive/Senior Sponsor for strategic engagements, partnering with client execs on delivery strategy
- Work with Finance to refine margin models, pricing strategies, and delivery forecasting
What they require
- 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 technical fluency 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 P&L, margin optimization, and resource economics
- Experience in AI/ML solutions delivery or adjacent domains (cloud transformation, data engineering)
- Systems Builder: built delivery frameworks from scratch with balance of enforcement and flexibility
- Metrics-Driven: build usable dashboards, spot patterns early
- Risk Calibrated: anticipate failure modes, run experiments, know which risks escalate
- Change Leader: drive adoption of new processes in resistant organizations
- Talent Developer: invest in growing future leaders with same craft as systems
Andela connects customers with global, remote technical talent from over 135 countries through its AI-powered platform, Andela Talent Cloud, helping companies deploy technologists and build software and AI teams faster.