Sr Director - AI Delivery - 11891

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Senior Director, AI Delivery at Coupa:

The Senior Director, AI Delivery leads the engineering organization responsible for designing, building, deploying, and operating enterprise AI solutions across the company. This leader owns the end-to-end delivery lifecycle for AI initiatives, partnering closely with business stakeholders, AI Strategy, Enterprise Architecture, Data, Infrastructure, Security, and Product teams to transform business opportunities into production ready AI capabilities.
The role is accountable for execution excellence, engineering quality, delivery predictability, operational stability, governance compliance, and business value realization across a portfolio of AI agents, automations, and intelligent workflows. The focus is on delivering enterprise grade AI products that are scalable, secure, measurable, and reusable.

What You'll Do:

AI Delivery Leadership

Lead the enterprise AI Delivery Engineering organization.
Build and scale a high-performing team of AI Engineers, AI Solution Architects and AI Operations
Establish delivery standards, engineering practices, and operating models for AI solution development.
Own execution across multiple concurrent AI programs and business domains.

Enterprise AI Solution Delivery
Lead delivery of enterprise AI solutions including:

AI Agents
Agentic Workflows
AI-powered business automations
Conversational AI
Knowledge assistants
Retrieval-Augmented Generation (RAG) solutions
Multi-agent orchestration

Ensure solutions are secure, scalable, maintainable, and reusable.
Engineering Excellence
Establish engineering standards for:

Prompt engineering
Agent development
Tool integration
MCP implementation
API integrations
AI workflow orchestration
Code quality
Reusable frameworks
Secure development practices

Drive adoption of reusable AI components and engineering accelerators.
Delivery & Portfolio Management
Own delivery execution across the AI portfolio including:

Capacity planning
Prioritization
Roadmaps
Resource allocation
Milestone management
Executive reporting
Risk management
Delivery metrics

Ensure predictable execution across multiple AI initiatives.
AI Operations (Run)
Establish operational excellence for production AI systems by overseeing:

Production monitoring
Agent health
Incident management
Performance optimization
Model performance
Prompt optimization
Cost optimization
AI observability

Drive continuous improvement after deployment.
Governance & Responsible AI
Create & Manage the AI Governance council, partnering with Security, and Compliance teams to ensure:

Responsible AI practices
Security reviews
Privacy compliance
Human-in-the-loop controls
Auditability
Model governance
Risk assessments
Regulatory compliance

Ensure governance is embedded throughout the delivery lifecycle.
Cross-functional Leadership
Partner closely with:

AI Strategy
Enterprise Architecture
Business Systems
Data & Analytics
Security
Business Product Owners
Legal
Procurement
Vendor Partners

Align technology delivery with business priorities.
Financial & Vendor Management
Manage delivery budgets and strategic partners by:

Overseeing vendor performance
Managing delivery costs
Driving AI platform optimization
Tracking consumption and FinOps metrics
Measuring ROI
Optimizing engineering capacity

Organizational Leadership
Build a world-class AI delivery organization through:

Talent development
Workforce planning
Coaching and mentoring
Organizational design
Hiring
Performance management
Engineering culture
Innovation

What You Will Bring to Coupa:

12–15+ years of experience leading enterprise technology organizations.
7+ years managing engineering or enterprise application delivery / Data insights teams.
Experience delivering AI, machine learning, or intelligent automation solutions at enterprise scale.
Deep understanding of enterprise application ecosystems including CRM, ERP, HR, Finance, and collaboration platforms.
Experience with LLMs, RAG architectures, agent frameworks, MCP, API integrations, orchestration frameworks, and enterprise AI platforms.
Experience building and leading global engineering organizations.
Strong executive communication and stakeholder management skills.
Experience managing strategic vendors and systems integrators.
Demonstrated success leading large transformation programs.

Preferred Experience

Experience with Google Gemini, Vertex AI, apigee, Anthropic Claude ecosystems.
Experience integrating AI into enterprise platforms such as Salesforce, Netsuite, Zuora, or similar.
Knowledge of Responsible AI, AI governance, and enterprise security.
Experience implementing AI observability, AI testing, and operational monitoring frameworks.
Familiarity with cloud-native architectures, DevOps, CI/CD, and modern software engineering practices.