Principal, AI Data Strategy & Integrations Tech Lead

Join Intapp as a Principal, AI Data Strategy & Integrations Tech Lead. In this role, you will lead enterprise data integrations and strategy, master data management, and AI-driven data integrations. You will design and govern end-to-end integration architecture, execute enterprise data integrations strategy, optimize master data management frameworks, drive AI enablement, architect complex system integrations, establish DevOps and DataOps practices, and manage cross-functional teams and stakeholders. This position offers a highly flexible work environment, generous paid time off, medical benefits, savings and investment programs, family-friendly policies, and opportunities for growth and development.

• Lead enterprise data integrations and strategy, master data management (MDM), AI-driven data integrations, and automation initiatives.
• Design and govern end-to-end Integration Architecture, defining standards for event-driven design, API lifecycle management, microservices communication patterns, and enterprise messaging frameworks.
• Drive AI enablement by building AI-powered systems integrations, building MCP servers with applications, integrating AI/ML tools, and supporting AI solutions deployment.
• 8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture
• Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale
• Strong exposure to AI/ML data pipelines and analytics platforms
• Demonstrated leadership experience managing technical teams and enterprise-scale initiatives
• Hands-on experience with system integrations (APIs, ETL/ELT, middleware, cloud-native integration platforms)
• Proven experience leading MDM implementations and enterprise data governance programs
• Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines
• DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)
• AI/ML Data Engineering & Model Integration
• API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica)
• Integration Architecture — Event-Driven Design, API Gateway Management, Microservices & Messaging Patterns (Kafka, MQ)
• SQL, Python, and Modern Data Stack Tools
• Cloud Platforms (AWS, Azure, GCP)
• Strong stakeholder management and communication skills
• Enterprise Data Architecture & Strategy
• Master Data Management (MDM) & Data Governance