Principal, AI Data Strategy – Integrations Tech Lead

Intapp

Principal AI Data Strategy & Integrations Tech Lead guiding data integration and strategy initiatives at Intapp. Leading enterprise-scale MDM, system integrations, and AI-driven solutions.

Posted 7/9/2026full-timeCharlotte • New York, North Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudERPETLMicroservices

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

Professional development opportunities supported by a community of experienced professionals.
Reimbursement for training and continuing education.
Complimentary lunches and fully stocked kitchens.
Comprehensive wellness and flexible time off programs.
Family-formation benefits and support during family-building journey.
Paid volunteer time off and a donation matching program.

ATS Keywords

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Hard Skills & Tools

Data StrategyData EngineeringEvent-Driven SystemsAPI GatewaysService Mesh PatternsSystem Integrations (APIs, ETL/ELT)MiddlewareCloud-Native Integration PlatformsData Quality ManagementData Architecture

Soft Skills

LeadershipCross-Functional Team ManagementStakeholder Management