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, Peer-to-Peer, 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.