Pallav Saha

CEO

Kolkata, West Bengal, India14 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • 15+ years in Data & AI architecture.
  • Expert in building AI-ready cloud platforms.
  • Led multi-cloud data modernization initiatives.
Stackforce AI infers this person is a Data & AI Architect with expertise in Fintech and Healthcare sectors.

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Skills

Core Skills

Data ArchitectureData & Ai Platform LeadershipSolution ArchitectureData ModelingData AnalysisBi Architecture

Other Skills

LakehouseTechnical AdvisoryAmazon Web Services (AWS)Data IntegrationGen AICloud Solution DesignArtificial Intelligence (AI)Data GovernanceDatabricksDatabricks Unified PlatformDevOpsPythonSnowflake CloudSnowflake AI Data CloudData Modernization

About

Data & AI Architect with 15+ years of experience architecting, owning, and scaling enterprise‑grade cloud data and AI platforms across Life Sciences and Financial Services.I operate at the intersection of architecture, platform ownership, and executive advisory—translating complex cloud, data, and AI ecosystems into measurable business outcomes. My strength lies in building AI‑ready, governed, and cost‑efficient platforms in highly regulated environments. 🔹 Platform Ownership & Leadership - Accountable for enterprise‑scale Data & AI platforms across regulated Pharma and FinTech organizations. This includes leading a 1.5‑year IT carve‑out and separation program, ensuring platform continuity, governance, and modernization while migrating and stabilizing 10+ Data & AI applications. I have led multi‑cloud data, analytics, and ML modernization initiatives across AWS, Databricks, Snowflake, and BI ecosystems—designing lakehouse‑based architectures that support advanced analytics, ML, and GenAI use cases at scale. 🔹 What I Bring - • Ownership of high‑scale, cloud‑native Data & AI platforms • Deep expertise in Lakehouse, AI‑ready data architectures, and governance • Executive‑facing consulting and stakeholder advisory • Leadership of global delivery teams across US, UK, EU, and APAC • Strong domain depth in Pharma (GxP, FP&A, Clinical) and Finance (Capital Markets, Risk) 🔹 Core ExpertisePlatform & Architecture - Enterprise Data Platforms, Cloud & Lakehouse Architecture (Medallion), Data Governance & Security Modern Data Stack: Databricks (Unity Catalog, DLT), Snowflake (Cortex), AWS / Azure AI & Advanced Analytics: GenAI, LLM Ops, RAG Architectures, ML Pipelines Leadership: Platform Roadmapping, Technical Mentorship, Pre‑sales & Advisory

Experience

14 yrs 9 mos
Total Experience
4 yrs 10 mos
Average Tenure
2 mos
Current Experience

Accenture

Principal Architect - Data & AI

Mar 2026Present · 2 mos

Cognizant

4 roles

Principal Consultant - Cloud Data & AI Platforms (for Fintech Superapp)

Dec 2025Mar 2026 · 3 mos

  • Acted as a trusted consultant to the CIO/CTO to establish the enterprise Data Platform as the primary strategic priority, delivering a ready-for-execution roadmap that balanced rapid market entry with long-term cost-efficiency.
  • Defined the end-to-end architecture blueprints and multi-year roadmaps for enterprise-scale, cloud-native Lakehouse ecosystems, ensuring foundational readiness for advanced analytics, governance, and regulatory compliance.
  • Pioneered the design of the GenAI and Predictive AI frameworks based on custom-defined standards, enabling real-time personalization and AI-ready capabilities for a high-concurrency Fintech Superapp.
LakehouseTechnical AdvisoryData ArchitectureData & AI Platform LeadershipAmazon Web Services (AWS)Data Integration+4

Lead Architect - Cloud Data Engineering & ML (for Leading Global Generic & Biosimilar)

Aug 2023Nov 2025 · 2 yrs 3 mos

  • Served as Solution Architect and Technical Lead for enterprise‑scale cloud Data Engineering and Advanced Analytics initiatives, designing secure, scalable, and high‑performance data platforms.
  • Architected and implemented modern Lakehouse solutions using Databricks (Unity Catalog), Snowflake, and AWS in close collaboration with domain, platform, and DevOps teams.
  • Led a large‑scale IT separation and migration program, owning solution design and guiding teams through the migration of 10+ Data & AI applications across planning, execution, and production stabilization.
  • Acted as the primary technical interface between client architects, product owners, and delivery teams, ensuring architectural alignment, governance, and execution quality.
DatabricksDatabricks Unified PlatformDevOpsPythonSnowflake CloudSnowflake AI Data Cloud+9

Architect - Data & Analytics (for Fortune 500 Biopharmaceutical)

Promoted

Sep 2019Aug 2023 · 3 yrs 11 mos

  • Led architecture and requirements for drug pricing and shortage prediction products, building scalable ELT pipelines on AWS and Databricks‑based data platforms.
  • Enabled end‑to‑end analytics by integrating Databricks pipelines with Snowflake and Qlik Cloud for enterprise reporting and visualization.
  • Designed and delivered 15+ enterprise BI and analytics solutions across finance and planning domains, supporting strategic and operational decision‑making.
  • Defined core metrics and analytics for Purchase Orders, Budgeting, and Forecasting, enabling insights across organizational hierarchies and cost structures.
Data ModelingDatabricksDatabricks Unified PlatformSnowflake AI Data CloudTrueChartData & AI Platform Leadership+8

Tech Lead - Data & Analytics (for Fortune 500 Vaccine & Healthcare Company)

Aug 2016Sep 2019 · 3 yrs 1 mo

  • Led the design and delivery of a global data and analytics solution across 100+ markets for a major pharmaceutical organization.
  • Integrated multiple external data providers to build a centralized enterprise data warehouse on Teradata, enabling advanced commercial and medical analytics.
  • Architected BI data models for multi‑channel effectiveness, brand adoption, and customer 360 analysis, delivering scalable and high‑performance Qlik‑based analytics solutions.
Data ModelingTeradataPythonData AnalysisCompellonQlik+3

Ibm

Application Architect - Data & Visualization (for Fortune 200 Financial Services Firm)

Mar 2015Aug 2016 · 1 yr 5 mos

  • Led application architecture for BI solutions in wealth management and private banking, delivering scalable and regulatory‑compliant analytics platforms.
  • Translated complex business requirements into enterprise BI architectures, designing SQL Server data marts for revenue and workforce analytics.
  • Collaborated with cross‑functional teams to modernize legacy DW & BI systems and deliver executive‑level insights.
Data ModelingProject PlanningRData AnalysisRequirements GatheringBI Architecture+3

Tata consultancy services

Data & BI Engineer (for Global Fortune 100 Financial Institution)

Mar 2011Feb 2015 · 3 yrs 11 mos

  • Contributed as a BI and ETL developer delivering metric‑driven dashboards and analytics solutions for global financial services clients.
  • Member of TCS Data Visualization and Big Data Centers of Excellence, developing prototypes using QlikView, R, Hadoop, and open‑source technologies.
  • Supported innovation initiatives across Capital Markets and BFS through advanced analytics and data engineering use cases.
TeradataAnalyticsRREST APIsHadoopAgile Methodologies+5

Education

West Bengal University of Technology, Kolkata

B.Tech — Electronics & Communication Engineering

Jan 2005Jan 2009

Welingkar Institute of Management

PGDM — E-Business/IT

Jan 2015Jan 2018

WBCHSE

Higher Secondary (10+2)

Jan 2003Jan 2005

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