Role Overview:

We are seeking a Data & AI Capability Lead to build and lead the Data & Artificial Intelligence capability within our Global Capability Center (GCC).

This leader will be responsible to deliver, scale, and operationalize data platforms, BI & AI solutions that enable AI-powered decision intelligence across global operations.

The role combines:

• Strategic architecture thinking
• Hands-on technical leadership
• Team building and talent development
• Cross-functional stakeholder engagement

This is a high-impact leadership role supporting R&D, Operations, Finance and overall digital transformation initiatives.

Key Responsibilities:

Data & AI Strategy Execution:

• Translate enterprise digital and AI strategy into a GCC delivery roadmap
• Build scalable data & AI
• Support AI-first initiatives including predictive maintenance, quality analytics, GenAI copilots
• AI lifecycle management (model governance, MLOps, observability)

1. Platform Delivery

• Implementation and evolution of:

• Cloud-native data platforms (Databricks on AWS)

• Lakehouse architectures

• Real-time data pipelines

• GenAI integration frameworks (e.g., Bedrock-hosted LLM frameworks)

• Deliver secure integration with brownfield systems (MES, ERP, equipment data, OT systems)

• Drive modern data engineering practices (CI/CD, IaC, automated testing)

BI & AI Solution Delivery:

• Oversee delivery of:

• AI/ML models (Edge AI experience preferred)

• Anomaly detection and small signal detection models

• GenAI assistants for operations, maintenance, and IT

• Agentic AI workflows

• Institutionalize MLOps and scalable deployment patterns

• Ensure business value realization (cost savings, uptime improvement, yield

Team Leadership & Capability Building:

• Build and lead a high-performing Data & AI team (Data Engineers, ML Engineers, Data Scientists)

• Develop citizen AI enablement playbooks

• Establish strong engineering culture (code quality, experimentation, peer review)

• Mentor future technical leaders

• 1. Governance, Risk & Compliance

• Ensure alignment with enterprise cybersecurity frameworks, responsible AI standards and governance models

• Manage data privacy, model explainability, and audit requirements

• Collaborate with IT Security and Enterprise Architecture

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• 12–15+ years of experience in Data Engineering, AI/ML, or Advanced Analytics
• 10+ years in a leadership or team lead role
• Strong hands-on experience with:Cloud platforms (AWS preferred)
• Databricks / Lakehouse architectures
• Python / Spark
• MLOps practices
• Experience working in enterprise or manufacturing environments

Preferred Qualifications:

• Experience in semiconductor or discrete manufacturing
• Exposure to OT/IT integration
• Experience with GenAI frameworks and LLM integration
• Familiarity with reinforcement learning or advanced optimization
• Experience working in global matrix organizations

Leadership Competencies

• Systems thinking in complex brownfield environments
• Strong execution discipline
• Builder mindset (from zero to scale)
• Data-driven decision making
• High ownership and accountability
• Ability to influence without authority

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