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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, AI Data Strategy & Integrations Tech Lead - **Company:** Intapp, Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Application Integration Architecture, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Middleware, Github, Python (Programming Language), Messaging Application Programming Interface, DataOps, SQL Databases, Systems Integration, Google Cloud, Cloud Platform System, Informatica Powercenter, Boomi, Data Strategy, Event Driven Architecture, Containerization, Kubernetes, Integration Frameworks, Apache Kafka, Data Management, Machine Learning Operations, Api Design, Api Gateway, Terraform, Data Pipelines, Api Management, Docker, Mulesoft, Microservices - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9d631129048284af ## About the Role * Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale. * 8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture. * Proven experience leading MDM implementations and enterprise data governance programs. * Hands-on experience with system integrations (APIs, ETL/ELT, middleware, cloud-native integration platforms). * Strong exposure to AI/ML data pipelines and analytics platforms. * Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines. * Demonstrated leadership experience managing technical teams and enterprise-scale initiatives. Skills: * Integration Architecture - Event-Driven Design, API Gateway Management, Microservices & Messaging Patterns (Kafka, MQ) * AI/ML Data Engineering & Model Integration * DevOps & DataOps - CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform) * Enterprise Data Architecture & Strategy * Master Data Management (MDM) & Data Governance * API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica) * Cloud Platforms (AWS, Azure, GCP) * SQL, Python, and Modern Data Stack Tools * Strong stakeholder management and communication skills ## Description We are seeking an experienced Principal - Data Integrations, AI & Data Strategy to lead enterprise data integrations & strategy, master data management (MDM), AI-driven data integrations and automation initiatives. This role requires a strategic thinker with strong technical depth and leadership capability to drive scalable, secure, and AI-ready data ecosystems across the organization. What you will do: * Design and govern end-to-end Integration Architecture, defining standards for event-driven design, API lifecycle management, microservices communication patterns, and enterprise messaging frameworks. * Lead and execute enterprise Data Integrations Strategy, aligning data architecture, governance, and operations initiatives with business objectives. * Own and optimize Master Data Management (MDM) frameworks to ensure data quality, consistency, governance, and regulatory compliance. * Drive AI enablement by building AI-powered systems integrations, building MCP servers with applications, integrating AI/ML tools, and supporting AI solutions deployment. * Architect and oversee complex system integrations, including data quality and consistency across enterprise platforms (ERP, CRM, data warehouses, cloud systems) using modern AI-powered integration patterns and APIs. * Establish and champion DevOps and DataOps practices, embedding CI/CD pipelines, automated testing, and infrastructure-as-code into data and integration delivery workflows. * Manage cross-functional teams and stakeholders to deliver scalable, secure, and high-performance data and AI solutions. ## Related Videos - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)