Job Role : Data, Integrations & AI Governance Architect
Key Responsibilities
Experience in Manufacturing, Retail, Supply Chain industry leading architecture for complex enterprise and AI initiatives translating ambiguous business problems into clear architectural options and trade-offs driving alignment across stakeholders on solution direction and constraints
Experience in utilizing EA Tools like LeanIX, Sparx, Orbus, Ardoq or any other similar platform/tools to enable and guide the design that meet current and future needs
Platform Governance Integration : Implement access controls, data protection rules, Integrate governance metadata, governance platforms, enforcement of data access controls, privacy classifications, and data retention policies within data platforms.
Provides technical direction and design authority across enterprise applications supporting trusted and AI-ready data products, that ensure governance is defined, supported by technology, and enforced across the enterprise data and AI platform
Integration & Automation : Understanding of integration patterns including APIs, service architectures, and event driven systems. Proficiency in Python for integration and automation engineering
Cloud Data Platform Architecture : Strong working knowledge of AWS data services, Databricks with experience implementing governance enforcement using platform native controls
Architecture & Delivery Leadership : Architecture design experience defining and implementing high level integration patterns (e.g., Hub and Spoke, PeertoPeer, Data Federation)
AI Architecture & Risk Governance : Lead evaluation of AI/LLM-based solutions across the organization enforcing enterprise guardrails for AI adoption and assess risks related to Data exposure, Prompt injection and model behavior, External dependencies and token/security models
Qualifications & Experience
Bachelors degree in computer science, IT Engineering, Information Technology, or related field
15+ years of experience in engineering and/or manufacturing system architecture with expertise in ERP systems and processes.
Experience supporting analytics and AI workloads in cloud data platforms
Strong knowledge of API design patterns (REST, GraphQL, gRPC) and API management platforms (AWS API Gateway, Apigee, MuleSoft, or equivalent)
Experience with event driven architecture and message streaming platforms (Apache Kafka, Amazon MSK, EventBridge, SQS/SNS)
Experience designing integration solutions for AI/ML platforms or agentic architectures, including LLM API patterns and MCP based agent tooling
Familiarity with emerging AI and agent integration patterns
Working knowledge of AI assisted software development tools (GitHub Copilot, Claude, or equivalent)
Deep understanding of enterprise data models, master data governance, systems integration principles and technologies in manufacturing processes.
Strong analytical and conceptual skills; ability to create original concepts and theories for a variety of projects
Strong business acumen of Salesforce technologies, ERP, Supply chain, Finance & Treasury, ERP systems and processes, such as EBS Oracle, JDE, EFACS, SAGE, IFS to mention a few.
Ability to communicate, influence and persuade both business and IT leaders, stakeholders, and peers.
