Connect strategy to execution.
Capability-based planning, target-state architecture, portfolio rationalization, roadmaps, governance, architecture assurance and transformation alignment.
Enterprise Architect · Transformation Leader
Clarity before commitment.
I connect business strategy, enterprise architecture and technology execution to help organizations make better transformation decisions across SAP, integration, data, cloud and Enterprise AI.
19+ yearsEnterprise technology & transformation
BDATBusiness · Data · Application · Technology
SAPS/4HANA · Digital core · Integration
AI + DataReadiness · Architecture · Governance
01 / EXPERTISE
Enterprise breadth.
Decision discipline.
I work across the seams where large transformations become difficult: business capability, applications, integration, data, platforms, governance and delivery.
Modernize without creating tomorrow's legacy.
S/4HANA transformation, RISE, clean core, integration boundaries, data alignment, cloud decisions and the surrounding enterprise landscape.
Build the foundations before the promise.
Enterprise integration strategy, data and MDM alignment, platform choices, AI readiness, governance and pragmatic enterprise adoption.
02 / SELECTED WORK
Architecture with a consequence.
Representative transformation challenges from global enterprise environments. Details are intentionally anonymized to respect confidentiality.
Digital Core Transformation
S/4HANA readiness and enterprise architecture
Connected application, integration, data, infrastructure and adjacent-platform decisions to surface cross-domain dependencies before major transformation commitments.
Integration Strategy
Defining platform boundaries, not platform religion
Structured SAP-native and enterprise-iPaaS choices around workload fit, operating model, lifecycle, governance and enterprise consequences rather than vendor preference.
Business & Enterprise Architecture
Capability-led transformation planning
Connected business capabilities, application landscape and transformation priorities to improve the line of sight from strategic intent to technology execution.
Data & Enterprise AI
From isolated technology to enterprise context
Evaluated data, governance, integration and architecture foundations required for AI and analytics initiatives to scale beyond individual use cases.
03 / HOW I WORK
Challenge the decision.
Not the people.
Good architecture is not a prettier diagram. It is a disciplined way to expose assumptions, boundaries, dependencies and consequences before they become expensive.
Start with the business outcome.
Technology is a means. The architecture needs a reason to exist.
Make assumptions visible.
Hidden assumptions become future surprises. Put them on the table early.
Separate fact from preference.
Vendor familiarity and architectural fit are not the same thing.
Stay connected to execution.
An architecture that cannot survive delivery is only a presentation.
04 / ABOUT
Architecture across business and technology.
I operate where strategy becomes architecture, and architecture has to survive reality.
I am Pranil Shinde, an Enterprise Architect and transformation leader with 19+ years of experience across enterprise architecture, solution architecture, SAP and integration-led transformation.
My experience spans global enterprise environments across semiconductor, healthcare, life sciences, manufacturing, mining, financial services and FMCG. I work across business, data, application and technology architecture, with a particular focus on complex transformation decisions that cut across organizational and platform boundaries.
My working style is simple: understand the outcome, structure the problem, challenge assumptions, make trade-offs explicit and keep architecture connected to execution.
ArchitectureEnterprise · Business · Solution · Integration · Data · Technology
TransformationSAP modernization · Application rationalization · Target state · Governance
PlatformsSAP · Cloud · Enterprise integration · Data platforms · EA tooling
05 / INSIGHTS
Ideas worth challenging.
A place for practical thinking on enterprise architecture, SAP, integration, data, AI and the decisions connecting them.
Enterprise Architecture
From system of record to source of meaning.
Why modern architecture needs context and semantics, not only systems and data movement.
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Integration
Platform standardization is not the same as architecture.
Where enterprise iPaaS, native integration and deliberate exceptions belong in the same conversation.
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Enterprise AI
AI readiness starts before the model.
The architecture, data, governance and operating-model questions that determine whether AI scales.
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