Enterprise Transformation

SUBHANKAR DAS

I lead transformation programmes that change how large organisations actually operate. Twenty-six years across sales, retail, finance, marketing, research, customer analytics and privacy domains, building the data platforms those functions run on and reengineering the processes around them.

My remit has consistently spanned both sides of the work: owning the strategy, the architecture and the delivery, with global teams and vendor ecosystems on one side and the platform design itself on the other. That is deliberate. A transformation agenda only holds if the person setting it understands what it takes to land.

Apple Apple
Cisco Cisco
NetApp NetApp
HP HP
Consulting

2B+

Active devices reported through the analytics programme I led

10+ PB

Data warehouse migrated to Snowflake

$2M

Annual saving from replacing third-party marketing automation

70%

Efficiency gain on reengineered research workflows

25+

Engineers, scientists and analysts led across two regions

EXECUTIVE PHILOSOPHY

Pragmatic Innovation.
Measurable Impact.

"I deliver high-ROI innovation by using AI extensively to accelerate development and reduce time-to-market, while embedding it in applications only where it meaningfully improves outcomes. I favor iterative delivery and automation-first design to drive reliability, speed, and scale."

Having led data, analytics, marketing, finance, and privacy-centric platforms at global scale, I translate complex business challenges into clear, deterministic solutions grounded in strong engineering fundamentals.

My approach is intentional and outcome-driven: apply AI with judgment, modernize with discipline, and measure success by business impact—not hype.

Proprietary Methodology

The I.M.P.A.C.T. Framework

A practical, six-step model for business transformation. Emphasizing deterministic foundations and intelligent automation, without premature AI.

Immerse

in the Use-Case

Develop a deep, shared understanding of the real business problem. Walk the end-to-end workflow to identify regulatory, privacy, and risk constraints early.

Map

& Deconstruct

Break complexity into solvable parts. Deconstruct processes to expose true pain points, manual time sinks, judgment zones, and distinct automation candidates.

Platform

the CORE

Create the core system of record and orchestration layer. Design workflow-first, deterministic architectures that are API-driven and strictly AI-ready.

Automate

with an MVP

Prove value fast using deterministic automation. Establish trust by automating rules and templates, creating clean data exhaust while keeping humans-in-the-loop.

Change

Rollout & Adopt

Ensure transformation actually changes behavior. Drive role clarity and alignment, actively monitoring adoption metrics and workarounds to refine workflows.

Think Intelligence

(AI/LLM)

Introduce AI as a force multiplier only where it compounds value. Focus on decision support and pattern detection, rather than masking broken processes.