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Executive Scope

What Richard Leads — Enterprise Technology, Data and AI

At Novelis Today

What He Is Building Now

A $25M P&L and an organization of 50+ across 6 countries, governing data and AI across 9.

Global Data & AI Governance

  • Building enterprise data and AI governance across 9 countries, sponsored by the CEO and CFO
  • Named data owners and stewards in every domain
  • Risk-tiered model governance with pre-deployment gates, built to the EU AI Act, NIST AI RMF and ISO/IEC 42001

AI in the Office

  • A paid AI assistant for every knowledge worker — roughly 7,000 employees across 5 regions and 7 languages
  • An agent builder in every pair of hands, so employees build their own agents inside governed guardrails
  • More than 100,000 working hours reclaimed in the first 3 months, across more than 2 million prompts

AI in the Plants

  • Computer vision, predictive maintenance, simulation and edge intelligence in hot mills, cold mills and casting lines
  • A multi-year roadmap built with Operations and Manufacturing IT, sequenced by asset criticality and return
  • Scaling from first production deployments into a multi-plant, multi-region program — measured in throughput, quality, energy and worker safety

Signature Results

Proof at Enterprise Scale

$70M Platform Transformation — Deloitte

  • Decentralized data mesh across AWS, Azure, Snowflake, Databricks and Informatica
  • 95% data-quality gains and a 20% cost reduction
  • 110,000 hours of productivity and $8M cost avoidance

$100M Revenue Growth — Hertz

  • A $55M data transformation across 4 MDM domains
  • Data quality improved 85%
  • Enterprise data turned into a monetizable asset, not an operational by-product

8-Month Post-Merger Integration — GE

  • Led data and technology integration of Global Learning Systems for the GE/Alstom acquisition
  • $50M global P&L across 6 countries, division of 140+
  • 495,000 users in 185 countries at 99.9% uptime

Core Domains

Where He Delivers

Technology Leadership

  • Global IT operations & service management at enterprise scale
  • Multi-region team leadership — Europe, Asia, the Americas
  • Core business systems — ERP, greenfield Siebel CRM, Informatica MDM
  • Cybersecurity & technology risk

Data & AI

  • AI strategy & operating model — where to play, what to fund, how to prove return
  • Generative & agentic AI — assistants and agents at enterprise scale
  • Physical AI & IT/OT convergence — vision, predictive maintenance, ERP/MES/SCADA data
  • Data & AI governance — EU AI Act, NIST AI RMF

Business & Organization

  • Technology investment & vendor management — capital planning, FinOps, strategic partners
  • Board & executive committee engagement — monthly value reporting at ExCo level
  • Organization design & talent — operating model, role architecture, senior hiring
  • Intentional Engagement® — the leadership system behind adoption
How He Leads

Scaling AI in the office and on the factory floor, through Intentional Engagement® of the people who make it work—driving financial returns and employee safety.

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