Principal, AI Data Strategy & Integrations Tech Lead

Intapp, Inc.
Charlotte, NC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+32 more
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

Job 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.

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.

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

Benefits & conditions

Pulled from the full job description

  • Paid time off
  • Volunteer time off

About the company

At Intapp, you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities. We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork.

Here, you will have the opportunity to:

  • Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.
  • Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.
  • Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about.

Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

Videos

See all

Related articles

See all