Location: Charlotte, NC or NYCPrincipal - AI Data strategy & Integrations Tech LeadRole 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
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