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The Principal Consultant - Data & AI at NTT DATA will lead transformative data initiatives, focusing on strategy, governance, and AI solutions. With over 15 years of experience, the role involves advising C-suite executives and mentoring teams. Candidates should have expertise in Microsoft Azure, Databricks, and Snowflake, along with a strong background in AI and data management.
Job Responsibility:
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
Nice to have:
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