Hybrid Principal Consultant – Data & AI

at NTT DATA, Inc.

• Job title: Principal Consultant – Data & AI
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud
• Location requirements: Hybrid, Brisbane, Australia

About the role

• Principal Consultant managing enterprise-scale Data & AI transformation projects at NTT DATA. Leading strategy and execution across data governance and cloud-native platforms.

Responsibilities

• Lead and own the delivery of enterprise-scale Data & AI transformation programs from strategy through to execution and value realisation.
• Serve as a trusted advisor to C-suite and senior executives, shaping AI-led data transformation roadmaps.
• Drive the design and delivery of: Enterprise data strategies and operating models
• Data governance and enterprise data management frameworks
• Cloud-native data platforms (Azure, Databricks, Snowflake)
• Production-grade AI solutions including ML, Generative AI, and emerging agentic architectures
• Ensure solutions are commercially sound, scalable, secure, and aligned to measurable business outcomes.
• Shape complex opportunities through presales leadership, including solution strategy, commercial structuring, and executive presentations.
• Identify and create growth opportunities across existing and new accounts.
• Contribute to NTT DATA’s AI point of view, reference architectures, and reusable intellectual property.
• Mentor and lead high-performing, multidisciplinary teams across architecture, engineering, and AI disciplines.
• Strengthen and scale AI capability within the practice, influencing standards, governance models, and delivery excellence.

Requirements

• 15+ years’ experience leading enterprise Data & Analytics transformation within a consulting or Systems Integrator environment.
• Demonstrated success delivering complex, multi-stream programs spanning strategy, platform modernisation, and AI enablement.
• Strong expertise across: Data Strategy and Operating Models
• Enterprise Data Governance and Data Management
• Modern Cloud Data Platforms
• AI/ML and Generative AI initiatives in production environments
• Deep experience with Microsoft Azure, Databricks (Lakehouse architectures), and Snowflake ecosystems.
• Practical understanding of AI technologies including LLMs, RAG pipelines, orchestration frameworks, and Responsible AI governance.
• Commercially astute with experience shaping large deals, supporting RFx responses, and managing delivery risk.
• Comfortable influencing at CxO level and translating complex technology into strategic business outcomes.
• Recognised as a thought leader who stays ahead of industry trends across AI and modern data platforms.
• Highly Desirable Azure, Databricks, or Snowflake certifications.
• DAMA CDMP or equivalent data governance accreditation.
• Experience establishing AI operating models, AI Centres of Excellence, or enterprise Responsible AI frameworks.
• Experience delivering AI-enabled transformation in large, complex or regulated environments.

Benefits

• Hybrid Working
• Professional development opportunities