Vidit Chaurasia

Decison Intelligence & AI Leader · Auckland, New Zealand
GenAI & Optimisation Data & AI Governance Responsible AI
Auckland, NZ · +64 210 874 6289
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Executive Profile

Decison Intelligence & AI leader with 13+ years’ experience helping large organisations use AI, machine learning and optimisation safely and effectively. Works at the intersection of strategy, risk and technology, with a focus on governance, explainability and sustainable value creation. Background spans telco, insurance and energy across New Zealand, the US and India, with a track record of moving from experimental analytics to industrialised, well‑controlled Data & AI capabilities.

Current Roles
Principal Consultant – Data Science, Optimisation & AI
FDL · Auckland, New Zealand · Jan 2025 – Present
Data & AI Roadmap Optimisation & OR Governance & Risk
  • Own the Data & AI roadmap with a focus on optimisation and planning, ensuring initiatives align with business strategy, risk appetite and regulatory constraints.
  • Design governance and decision‑making structures around AI/ML use, including model‑approval processes, monitoring thresholds and documentation suitable for audit and Board scrutiny.
  • Lead design and deployment of optimisation models and decision‑support tools into production systems, with explicit attention to explainability and “human‑in‑the‑loop” controls.
  • Advise senior leadership on AI‑related risks and their mitigation, embedding these into policies and operating procedures.
Principal Consultant – GenAI & Responsible AI Advisor
Freelance · Auckland, New Zealand · Nov 2023 – Present
GenAI Strategy Responsible AI
  • Advise organisations on GenAI strategy and guardrails, including acceptable‑use policies, data‑handling standards, IP protection and privacy/security considerations.
  • Design GenAI architectures and workflows that embed controls for prompt‑injection, hallucination risks and inappropriate content, with clear monitoring and escalation paths.
  • Educate senior stakeholders on GenAI opportunities and limitations, ensuring realistic expectations and clear accountability for AI‑enabled decisions.
Prior Experience
Principal Consultant – Data Science & AI
Tenzing Limited · Auckland, New Zealand · Aug 2019 – Present
MLOps & Lifecycle Feature Store
  • Designed and implemented data‑science lifecycle and MLOps frameworks for a large telco, moving from ad‑hoc experiments to controlled, repeatable and auditable deployments.
  • Defined standards for model development, validation, deployment and monitoring, integrating MLFlow, Great Expectations and DeepChecks for assurance and auditability.
  • Architected a feature store and data products providing a single, governed source of ML features, improving consistency and strengthening data‑quality controls.
  • Led productionisation of 20+ models in real‑time customer‑journey pipelines, with clear fall‑back strategies and business‑owner sign‑off.
Senior Consultant – Data Science & Big Data; ETL Data Engineer
Accenture LLP (USA) & Accenture Limited (India) · Mar 2013 – Aug 2019
Regulated Environments Data Quality & Security
  • Delivered data and analytics solutions for global insurance and financial‑services clients operating under stringent governance and regulatory standards.
  • Implemented large‑scale data‑quality and profiling frameworks and scheduled 500+ daily jobs generating data‑quality metrics for 500+ users.
  • Managed data security and access‑control design for 5,000+ users in custom reporting applications, ensuring compliance with internal controls and external requirements.
  • Built and tuned high‑volume data‑integration and warehouse solutions (including 10‑billion‑record/day sources) with strong emphasis on integrity, lineage and performance risk.
Last updated by Vidit Chaurasia, January 2026.