Principal, AI Data Strategy & Integrations Tech Lead

Location: Charlotte, NC or NYC

Principal - AI Data Strategy & Integrations Tech Lead

Role Overview: 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.

What you will need

• 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

What you will gain

• Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals, including reimbursement for training and continuing education.
• Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration, with complimentary lunches and fully stocked kitchens to keep you energized.
• Support What Matters Most: Comprehensive wellness and flexible time off programs, family‑formation benefits, and support during the family‑building journey.
• We believe in giving back: Paid volunteer time off and a donation‑matching program for the causes you care about.
• Join us: Collaborative and welcoming culture where your contributions are valued and professional growth is a priority.

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.