Principal, AI Data Strategy & Integrations Tech Lead
Role details
Job location
Tech stack
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:
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Design and govern end-to-end Integration Architecture, defining standards for event-driven design, API lifecycle management, microservices communication patterns, and enterprise messaging frameworks.
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Lead and execute enterprise Data Integrations Strategy, aligning data architecture, governance, and operations initiatives with business objectives.
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Own and optimize Master Data Management (MDM) frameworks to ensure data quality, consistency, governance, and regulatory compliance.
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Drive AI enablement by building AI-powered systems integrations, building MCP servers with applications, integrating AI/ML tools, and supporting AI solutions deployment.
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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.
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Establish and champion DevOps and DataOps practices, embedding CI/CD pipelines, automated testing, and infrastructure-as-code into data and integration delivery workflows.
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Manage cross-functional teams and stakeholders to deliver scalable, secure, and high-performance data and AI solutions.
Requirements
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Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale.
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8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture.
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Proven experience leading MDM implementations and enterprise data governance programs.
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Hands-on experience with system integrations (APIs, ETL/ELT, middleware, cloud-native integration platforms).
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Strong exposure to AI/ML data pipelines and analytics platforms.
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Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines.
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Demonstrated leadership experience managing technical teams and enterprise-scale initiatives.
Skills:
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Integration Architecture - Event-Driven Design, API Gateway Management, Microservices & Messaging Patterns (Kafka, MQ)
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AI/ML Data Engineering & Model Integration
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DevOps & DataOps - CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)
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Enterprise Data Architecture & Strategy
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Master Data Management (MDM) & Data Governance
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API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica)
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Cloud Platforms (AWS, Azure, GCP)
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SQL, Python, and Modern Data Stack Tools
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Strong stakeholder management and communication skills
Benefits & conditions
Pulled from the full job description
- Paid time off
- Volunteer time off