Aditya Singh

Enterprise Data & AI Platform Leader

I build enterprise data platforms that turn AI from experimentation into business advantage.

I lead platform, analytics, and engineering initiatives that turn business strategy into durable data foundations, customer intelligence capabilities, and AI-ready operating models.

Portrait of Aditya Singh

Toronto, Canada

Enterprise data and AI platform leadership across architecture, governance, and modernization programs.

Operating posture

  • Platform strategy grounded in architecture depth and operating model design
  • AI readiness built on governance, quality, and reusable data foundations
  • Customer intelligence and decision systems tied to measurable business outcomes
  • Executive communication that connects technical roadmaps to organizational leverage

Digital Twin

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Aditya's AI assistant is here to answer questions about experience, case studies, leadership philosophy, and platform thinking.

Open the dedicated Digital Twin page for the full chat experience and longer questions about leadership, architecture, platform strategy, and role fit.

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16+

years across data, analytics, and engineering leadership

3

core sectors spanning financial services, consulting, and media technology

AI

readiness anchored in governance, operating models, and scalable platforms

Selected Work

A short tour of representative platform and transformation work.

Featured case studies cover governed platform modernization and Customer360 enablement. The full work section adds a broader transformation example with measurable operating impact.

See all case studies

Identity graph

Ready

360

Unified B2C and B2B customer data for segmentation, personalization, and measurement.

Customer Intelligence Case Study

Customer360 platform for personalization and customer intelligence

Designed and delivered a Customer360 data platform that unified customer identity and behavior across B2C and B2B journeys, giving marketing and analytics teams a governed foundation for segmentation, personalization, and measurement.

Impact: Enabled targeted marketing and stronger customer intelligence by connecting identity, behavioral data, semantic models, and model-ready datasets on a reusable platform foundation.

Lakehouse foundation

Ready

40%

Reporting effort reduced through a governed platform, shared standards, and reusable data products.

Platform Modernization Case Study

Governed enterprise lakehouse modernization

Modernized a fragmented enterprise data estate into a unified lakehouse platform with shared engineering standards, governance controls, and self-service data products for analytics, ML, and AI use cases.

Impact: Created a governed enterprise data backbone, enabled trusted self-service analytics across 12+ departments, reduced BI engineering effort by roughly 40%, and formed part of a broader data program that contributed to $25M+ in revenue impact over two years.