Principal, AI Data Strategy & Integrations Tech Lead

Intapp•Charlotte, NC

5d•Hybrid

About The Position

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.

Requirements

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.
Strong stakeholder management and communication skills

Nice To Haves

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

Responsibilities

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.