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Siddartha Sathyanarayan

Data & AI Delivery Leader | Account P&L, Growth | Life Sciences & Retail

Bengaluru

17+ years of work experience

Altimetrik
Jul 20251 yr 3 mosSep 2026

Copenhagen

Reports to CTO, Life Sciences | Client accounts: Novo Nordisk and Takeda Owned Takeda account P&L and delivery: grew revenue 4.4x (€3.4M to €15M) in two years by expanding into new workstreams, scaling a global delivery model (onshore, nearshore, offshore) from 20 to 250+ professionals across North America, Europe, and Asia. Delivered $50M in COGS reductions and eliminated 300,000+ manual hours by building a 10+ product enterprise platform adopted by 19,000+ users across 31 manufacturing sites. Architected PIC Global Search, a multi-agent Generative AI platform (RAG, LangGraph → OpenAI Agents SDK, MCP) that lets manufacturing/quality users query data across business domains in natural language; consolidated nine sequential LLM calls into three, cutting response time from 1–2 minutes to 5-10 seconds. Introduced an AI-assisted SDLC (multi-agent code review, automated CI/CD quality gates, continuous code-maturity checks) and used it to refactor the full platform, clearing three years of technical debt in 2 months; adopted as the engineering standard across 13 product teams. Stack: AWS (EKS/Kubernetes, RDS/PostgreSQL, S3), Angular, Python Microservices, Databricks, Power BI, Azure DevOps, OpenAI, LangGraph, OpenAI Agents SDK, OpenSearch, MCP
Altimetrik
May 20223 yrs 3 mosJul 2025

India

Tredence Inc.
Jun 20201 yr 9 mosFeb 2022

Bengaluru

Walmart+ Identity Foundation: Architected Walmart's unified customer profile store on GCP, integrating POS, clickstream, app, loyalty, service, and returns data to establish the core identity foundation for the Walmart+ launch and marketing activation. Massive-Scale CDP Delivery: Built and operated a 3 PB Customer Data Platform ingesting 250 TB/week on GCP to support the company's largest direct-to-consumer initiative. NLP-Driven Scope Rationalization: Pioneered an NLP-driven report rationalization framework that reduced legacy migration scope from 32,000 to 400 reports (a 98% reduction), saving significant engineering time and cost. Team Expansion & Leadership: Scaled the analytics and data engineering organization by 60%+ YoY, establishing high-performing squads across multiple commercial data domains. Stack: Databricks, GCP, AWS, Redshift, Power BI, Python
Oct 20181 yr 9 mosJun 2020

Bangalore

 Led the data engineering team to build a real-time data ingestion and analytics system, resulting in a 30% increase in data processing speed.  Implemented machine learning solutions to predict flight delays and automate travel management processes.
Navigator Management Partners
Sep 20144 yrsAug 2018

Columbus, Ohio Area

Fraud Analytics, Enterprise BI and DW
Abbott Nutrition
Feb 20095 yrs 8 mosSep 2014

Columbus, Ohio Area

Siddartha’s AI Stack

claude
claude
codex
codex
cursor
cursor
grok
grok
langgraph
langgraph
Figma Make
Figma Make

Education

Northwestern University

Master of Science (M.S.), Predictive Analytics

Northwestern University

20133 yrs2016
University of Florida

Master of Science (M.S.), Mechanical and Aerospace Engg

University of Florida

20012 yrs2003

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Headline

Data & AI Delivery Leader | Account P&L, Growth | Life Sciences & Retail

About

Data and AI delivery leader with 20+ years across data engineering, analytics, data science, and Generative AI. Owned account P&L and grew the Takeda account 4.4x (€3.4M to €15M) while scaling global delivery from 20 to 250+ professionals across onshore, nearshore, and offshore teams. Leads digital transformation programs for Fortune 500 life sciences and retail clients, combining executive stakeholder management, delivery governance, and AI architecture to deliver $50M in cost reductions. CORE COMPETENCIES Delivery Management · Account Management & Growth · P&L Ownership · Global Delivery Models · Stakeholder Management · Data Engineering · Data Analytics · Data Science & Machine Learning · Artificial Intelligence / Generative AI · Digital Transformation · Life Sciences & Retail

Location

Bengaluru

AI stack

claude

codex

cursor

grok

langgraph

Figma Make

Work experience

Engineering Leader Life Sciences EU Portfolio at Altimetrik, Jul 2025 - Sep 2026 · 1 yr 3 mos, Copenhagen, Reports to CTO, Life Sciences | Client accounts: Novo Nordisk and Takeda Owned Takeda account P&L and delivery: grew revenue 4.4x (€3.4M to €15M) in two years by expanding into new workstreams, scaling a global delivery model (onshore, nearshore, offshore) from 20 to 250+ professionals across North America, Europe, and Asia. Delivered $50M in COGS reductions and eliminated 300,000+ manual hours by building a 10+ product enterprise platform adopted by 19,000+ users across 31 manufacturing sites. Architected PIC Global Search, a multi-agent Generative AI platform (RAG, LangGraph → OpenAI Agents SDK, MCP) that lets manufacturing/quality users query data across business domains in natural language; consolidated nine sequential LLM calls into three, cutting response time from 1–2 minutes to 5-10 seconds. Introduced an AI-assisted SDLC (multi-agent code review, automated CI/CD quality gates, continuous code-maturity checks) and used it to refactor the full platform, clearing three years of technical debt in 2 months; adopted as the engineering standard across 13 product teams. Stack: AWS (EKS/Kubernetes, RDS/PostgreSQL, S3), Angular, Python Microservices, Databricks, Power BI, Azure DevOps, OpenAI, LangGraph, OpenAI Agents SDK, OpenSearch, MCP

Engineering Leader at Altimetrik, May 2022 - Jul 2025 · 3 yrs 3 mos, India

Director - Data Engineering at Tredence Inc., Jun 2020 - Feb 2022 · 1 yr 9 mos, Bengaluru, Walmart+ Identity Foundation: Architected Walmart's unified customer profile store on GCP, integrating POS, clickstream, app, loyalty, service, and returns data to establish the core identity foundation for the Walmart+ launch and marketing activation. Massive-Scale CDP Delivery: Built and operated a 3 PB Customer Data Platform ingesting 250 TB/week on GCP to support the company's largest direct-to-consumer initiative. NLP-Driven Scope Rationalization: Pioneered an NLP-driven report rationalization framework that reduced legacy migration scope from 32,000 to 400 reports (a 98% reduction), saving significant engineering time and cost. Team Expansion & Leadership: Scaled the analytics and data engineering organization by 60%+ YoY, establishing high-performing squads across multiple commercial data domains. Stack: Databricks, GCP, AWS, Redshift, Power BI, Python

Technical Product Manager at Shorebird Tech, Oct 2018 - Jun 2020 · 1 yr 9 mos, Bangalore,  Led the data engineering team to build a real-time data ingestion and analytics system, resulting in a 30% increase in data processing speed.  Implemented machine learning solutions to predict flight delays and automate travel management processes.

Senior Consultant - BI Solutions Architect at Navigator Management Partners, Sep 2014 - Aug 2018 · 4 yrs, Columbus, Ohio Area, Fraud Analytics, Enterprise BI and DW

Sr BI Architect at Abbott Nutrition, Feb 2009 - Sep 2014 · 5 yrs 8 mos, Columbus, Ohio Area

Education

Master of Science (M.S.), Predictive Analytics, Northwestern University

Master of Science (M.S.), Mechanical and Aerospace Engg, University of Florida

Siddartha Sathyanarayan - Engineering Leader Life Sciences EU Portfolio in Bengaluru | Tal