Head - AI & Automation

JOB PURPOSE

GMR seeks a visionary, technically skilled leader to transform our SSC into a Global Capability Centre (GCC). This role will align data and AI strategies across GMR’s businesses—airports, energy, infrastructure—to enable enterprise-wide intelligence and automation.

ORGANISATION CHART

KEY ACCOUNTABILITIES

Accountabilities

*Strategy & Vision: Create GMR’s data and AI roadmap. Develop models and governance frameworks to expand from SSC to GCC focusing on data and AI services.

*Data & AI Architecture: Lead cloud-native data platform development with IT, scaling and maintaining AI/ML applications. Design a unified platform for data engineers and analysts to process and analyse large-scale data. (Experience with Kafka, Snowflake, DBT, Google pub/sub or similar is beneficial.)

*Agentic AI & Automation: Deploy Agentic AI systems for autonomous workflows and integrate RPA tools like UiPath and Automation Anywhere for intelligent automation.

*AI/ML Ops: Establish ML Ops frameworks for lifecycle governance and real-time AI deployment globally.
Governance & Security: Ensure data governance, compliance (GDPR, ISO 27001), lineage, access controls, and security with the group CISO.

*ROI: Achieve measurable business impact through insights, APIs, and cost-saving analytics.
Talent & Ecosystem: Build a high-performing team and create innovation partnerships with vendors, academia, and AI communities.
 

KEY ACCOUNTABILITIES - Additional Details

EXTERNAL INTERACTIONS

Consulting and Management Services provider
IT Service Providers / Analyst Firms
Vendors
 

INTERNAL INTERACTIONS

GCFO and Finance Council, Procurement council, IT council, HR Council (GHROC)
GCMO/ BCMO
 

FINANCIAL DIMENSIONS

None

OTHER DIMENSIONS

None

EDUCATION QUALIFICATIONS

    Masters in engineering/computer science; preferred certifications include Databricks, PostgreSQL, or cloud platforms.

RELEVANT EXPERIENCE

    10-15 years' experience in data architecture, cloud, AI/ML, and enterprise automation.
    Expert in GenAI, LLM orchestration (LangChain, AutoGPT, haystack, Llamaindex), MLOps, and RPA platforms.
    Proven success in scaling AI with clear ROI impact in complex environments.
    Strong business acumen to influence senior stakeholders.
    Core technical & ml tools knowledge (languages , frameworks, platforms etc.) 
     Python, SQL, Hugging Face Transformers, Tensorflow, Pytorch, XGBoost, platforms like Google autoML, Amazon sagemaker, azure ML, Google vertex.
    Knowledge of Ipaas platforms, ERP and CRM integrations, Data engineering and storage, Databricks, snowflake, big query and similar
    Bonus capabilities – LLM Ops. Edge AI, Simulation and synthetic data, Privacy aware AI with encryption. Compliance frameworks.
    Effective team builder and leader for AI and ML engineers. Aim to grow the AI division to match global standards within 3 years.
 

COMPETENCIES

• Team Leadership
• Strategic Leadership
• Entrepreneurship
• Breakthrough Thinking
• Developing self & others
• Empowering others