Saptarshi Mukherjee

Critic
DISC Type : C

Director Data Engineering at Mars

London, England, United Kingdom

Overview

Saptarshi is the Director of Data Engineering at Mars with over 19 years of experience architecting data and machine learning platforms. His career spans investment banking at Bank of America and Goldman Sachs, and marketing tech at Expedia. He holds a BE from Jadavpur University and is skilled in Python, Big Data, and AWS.

He has a keen interest in professional development, actively pursuing certifications in Microsoft Azure and attending conferences on emerging topics like Agentic AI to stay at the forefront of the field.

Unique fact: Saptarshi has deep expertise in building large-scale, low-latency systems for critical regulatory projects like CCAR within global financial institutions.

Personality Overview

Negotiator

ROI Driven

Objective Thinker

They choose to analyze logically and value facts to emotions.  They like to do things independently and don’t look for support from others. It is very likely that they will negotiate pricing or other important terms.

Topics They Care About

AI Readiness
In his current role at Mars, he is focused on building a robust data foundation to position the business to be AI-ready and enhance enterprise data.
Agentic AI
Demonstrates a forward-looking interest in advanced AI by attending conferences on building agentic AI applications, frameworks, and retrieval systems.
Marketing Technology
Previously led a multidisciplinary team at Expedia to build a high-performance marketing tech platform using Python, Spark, and AWS to optimize marketing spend.

Media Appearances

Saptarshi has no verified media appearances

Work History

4-2025
Director Data Engineering at Mars
7-2022 - 4-2025
Director Marketing Technology at Expedia Group
6-2012 - 6-2022
Director Risk Technology at Bank of America Merrill Lynch
8-2010 - 6-2012
Analyst Developer at Goldman Sachs Asset Management
6-2008 - 8-2010
Developer at OpenBet

Education

9-2019 - 6-2021
Master of Science - MS from Munster Technological University
2001 - 2005
BE from Jadavpur University

More Information

Social Presence :

Prographics :

Exp : 17 Location : London, England, United Kingdom Job Level : Mid-senior Designation : Director Data Engineering at Mars
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Insights For Selling To Saptarshi

During A Call Or A Meeting

DO's

  • If you can, show them industry reports or analyst comments instead of sharing anecdotal stories
  • Be formal and objective, they will appreciate it more
  • Tell them what ROI they can expect

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Do not use very emotional or colorful language
  • Avoid pushing them too much to involve other stakeholders unless it is critical

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Saptarshi is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Saptarshi

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Saptarshi move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Saptarshi take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Saptarshi

Personality Compatibility


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