Data Platform & Architecture
The right data foundation changes everything. Lakehouse, cloud warehouse, or a fit-for-purpose setup - designed for today, built to scale.
Independent consultant. 25+ years of delivery across NZ, AU, US and the UK.
I help companies cut through complexity and turn data and AI into real outcomes - no agency overhead, no fluff, just focused problem solving.
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I am Jai Prakash - JP - a Data and AI consultant with 25+ years of hands-on delivery experience across New Zealand, Australia, the UK, Europe, and North America.
I have built data platforms from scratch, shipped production AI into regulated environments, and led teams from ten to eighty people. My background spans financial services, insurance, government, and retail - and I have worked inside global agencies, consulting firms, and directly with enterprise clients - I know how each operates and where each falls short.
Now I work independently. That means you get senior thinking without the overhead - direct, honest, and focused on getting things across the line.
From your first AI experiment to a production data platform - I handle both the strategic thinking and the actual build.
The right data foundation changes everything. Lakehouse, cloud warehouse, or a fit-for-purpose setup - designed for today, built to scale.
From first Agentic use case to multi-agent automation - I find what will actually save time or money, then build it to production standard. Evaluation frameworks built in, not bolted on.
Data your team can act on, not just admire. GA4, BigQuery, and modern BI tooling - set up to drive decisions, not just technically ticking boxes.
Pipelines that run reliably and data you can trust. Clean ELT, CI/CD-ready platforms, solid foundations. I fix broken pipelines as readily as building new ones.
Privacy-first from day one. NZ Privacy Act 2020, Australian Privacy Principles, GDPR - practical frameworks embedded into how you work, not filed away in a document.
Senior data and technology leadership without the full-time cost. I help you hire well, set standards, build capability, and define a roadmap that the business can actually execute.
| # | Engagement | Outcome | Market |
|---|---|---|---|
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Generative AI Knowledge Platform
Inland Revenue · NZ Government
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RAG-based platform on Azure OpenAI integrating structured enterprise data with LLM inference. Case resolution speed up 35%, response accuracy up 40% across 2,500+ users. Full MLOps instrumentation with LangSmith and Ragas evaluation. |
NZ · GenAI | |
|
Predictive Churn Model
Partners Life · Insurance, NZ
|
Full ML pipeline from CRM and policy system ingestion through feature engineering to production deployment. 82% model accuracy. 23% reduction in customer attrition risk through targeted intervention. |
NZ · ML | |
|
Enterprise Data Warehouse
Inland Revenue · NZ Public Sector
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Privacy-first Snowflake enterprise data warehouse with embedded PII governance and data minimisation controls, aligned to NZ public sector privacy obligations. Enabled population-level analytics at scale. |
NZ · Platform | |
|
Consent & Compliance Platform
Mitsubishi · Australia
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Customer data mapped across 30+ systems including SAP, Dynamics CRM, and Adobe Campaign. Data masking, redaction, and consent management aligned to Australian Privacy Principles. |
AU · Governance | |
|
Data & Technology Strategy
Partners Life · Post-Acquisition, NZ
|
End-to-end data strategy following BNZ insurance acquisition. Integrated Dynamics CRM, Sonata, and source systems into a governed Snowflake warehouse with Power BI for customer retention analysis. |
NZ · Strategy | |
|
Core Banking Digitisation
Nationwide Bank · United Kingdom
|
Enterprise architecture for savings and credit card onboarding digitisation. Integrated CRM, core banking, marketing automation, and digital channels in a heavily regulated UK financial environment. |
UK · FinServ |
Defined scope, clear deliverables. Architecture reviews, AI pilots, data builds, or governance frameworks. Typically 4-12 weeks.
A set number of days per month - ongoing senior input without the full-time commitment. Ideal for companies in growth mode.
2-3 days per week inside your team - leading, mentoring, and delivering alongside your people.
No sales process, no obligation. A straight conversation about what you are trying to solve and how I can help.