Indrasis Mondal, Ms, Mba
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Indrasis Mondal, Ms, Mba Email & Phone Number

Vice President, Product, AI at BOLD
Location: Greater Seattle Area, United States, United States 37 work roles 4 schools
1 work email found @docusign.com 4 phones found area 310, 424, and 206 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email i****@docusign.com
Direct phone (310) ***-****
LinkedIn Profile matched
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Current company
Role
Vice President, Product, AI
Location
Greater Seattle Area, United States, United States
Company size

Who is Indrasis Mondal, Ms, Mba? Overview

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Quick answer

Indrasis Mondal, Ms, Mba is listed as Vice President, Product, AI at BOLD, a company with 51 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at docusign.com, phone signal with area code 310, 424, 206, and a matched LinkedIn profile for Indrasis Mondal, Ms, Mba.

Indrasis Mondal, Ms, Mba previously worked as Vice President of Data & AI at Niche and Data in Orbit Podcast: Bridging the gap between business teams and data teams at Niche. Indrasis Mondal, Ms, Mba holds Master Of Business Administration (Mba), Executive Mba, Business Executive Leadership & General Management from Seattle University-Albers School Of Business And Economics.

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Email format at BOLD

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*@docusign.com
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AeroLeads found 1 current-domain work email signal for Indrasis Mondal, Ms, Mba. Compare company email patterns before reaching out.

Profile bio

About Indrasis Mondal, Ms, Mba

17+ years of data science, analytics, ML, and AI leadership experience with a track record of developing successful data products, capabilities, technologies, and organizations in multiple sectors (medical, manufacturing, aerospace, wireless, IoT, ecommerce, media, and SaaS).CAREER ASPIRATIONTo help organizations transform their strategy, operation, product innovation, and customer experience by unlocking the power and value of data, insights, and AI. EXPERTISE & FOCUS • Help businesses develop successful strategies and build innovative but easy-to-use data, analytics, and AI driven products and capabilities that unlock maximum customer value and business impact with minimum technology waste. • Help organizations build vision and capabilities to utilize, manage and monetize strategic data assets effectively to transform their business, operation, products, and customer experience. • Transform organizations by establishing a culture of data & insights driven decision making through comprehensive data strategy (processes, people, practices & capabilities) and effective execution. • Build and scale high performant resilient teams guided by purpose, values, innovation, operational excellence, and a strong focus on maximizing business and customer impact. RECOGNITION & OUTREACH • Recipient of the 2024 Top 50 AI Award by NDLC • Recipient of 2023 AI100 Award (100 Most Influential AI and Analytics Leaders in USA) • Recipient of the 2019 Snowflake Data Drivers Award • Global AI Conference Speaker (Mar 2022) • Data Science Leaders Podcast: Elevating Your Team as Strategic Business Partners (Feb 2022) • Product School Webinar: The Foundation of a Successful Data Organization (Feb 2022) • Sunny Side Up Media Podcast: Building a Data Driven Product Team (Sept 2021) • The Data Standard Audio Experience Podcast: Building AI Solutions for a Data-Driven World (Feb 2021) • Global AI Conference Keynote Panel (Apr 2019, 2018) • Data Con LA Speaker (Aug 2018) • Innovation Enterprise High Tech Summit Speaker (Apr 2017) • Gartner Data & Analytics Summit Speaker (Mar 2017) • Big Data Innovation Summit Speaker (Sept 2016) • IEEE Seattle Comm Society Speaker (Sept 2013) • Peer-Reviewed Journal: Computation of Mass-Density Images from X-Ray Refraction-Angle Images, Physics in Medicine and Biology, Apr 2006 • 4 Published US PatentsCORE COMPETENCIESStrategic Leadership & Execution, Data & Analytics Strategy and Transformation, Product Management, Data Science, Analytics, Data Governance, Machine Learning, AI, IOT, and Software Engineering.

Listed skills include Leadership, Management, Product Management, Signal Processing, and 46 others.

Current workplace

Indrasis Mondal, Ms, Mba's current company

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BOLD
Bold
Vice President, Product, AI
Kirkland, WA, US
Website
Employees
51
AeroLeads page
37 roles

Indrasis Mondal, Ms, Mba work experience

A career timeline built from the work history available for this profile.

Vice President, Product, Ai

Kirkland, WA, US

Vice President Of Data & Ai

Current

Pittsburgh, PA, US

Niche is the leader in school and college search. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools Niche is the leading platform connecting students and families with colleges and schools, and last year alone, more than 50 million people used Niche. Niche is the leading authority of.

Sep 2023 - Present

Data In Orbit Podcast: Bridging The Gap Between Business Teams And Data Teams

Pittsburgh, PA, US

In this podcast, I discussed key strategies for bridging the gap between business teams and data teams to ensure the value and impact of data are visible across the organization.🎧 Apple Podcasts https://lnkd.in/gdrD4kFY, Spotify https://lnkd.in/gtruf8xS

Oct 2024 - Oct 2024

Projectpro'S Ai Monetization Podcast: Building A 360-Degree Customer View With Generative Ai

Pittsburgh, PA, US

In this podcast, I discussed how businesses can leverage AI in building a 360-degree customer view to create a seamless, proactive, targeted, and personalized experience across the entire customer lifecycle, leading to increased loyalty, product success, operational efficiency, and revenue.

Oct 2024 - Oct 2024

Conference Speaker: The Future Is Now-Real World Applications Of Ai In Internal Audit Conference

Pittsburgh, PA, US

Title: AI Advice to Auditors: A SummaryIn this talk, "AI Advice to Auditors," I explored the exciting (and sometimes challenging) world of auditing AI systems. We explored how the auditability (trust, transparency, relevancy, reproducibility, explainability) of AI systems varies depending on the type of AI model from classic machine learning (think.

Oct 2024 - Oct 2024

Formula.Monks Spotlight Hour Series Speaker

Pittsburgh, PA, US

Title: Accelerating Value and Impact of Data Organization by adopting a product mindset Abstract: Data is known to be the most valuable resource of the 21st century, and it is the foundation, and catalyst for AI, product and business strategies, and capabilities for successful companies. In this session, we explored how adopting a product mindset can help.

Aug 2024 - Aug 2024

Ai In Action Podcast

Pittsburgh, PA, US

In this podcast, I discussed with the host JP Valentine how data data and AI could be good highlighting how at Niche we leverage data and AI to simplify searching and enrolling in colleges and schools easy, accessible, transparent, and equitable for of students and families.In this podcast, I discussed with the host JP Valentine how data data and AI could.

Aug 2024 - Aug 2024

Winner Of Top 50 Ai Award

Pittsburgh, PA, US

The Top 50 AI Award recognizes outstanding Chief AI Officers (CAIOs) nationwide for their exceptional leadership, innovation, and commitment to diversity in the field of Artificial Intelligence. This prestigious accolade celebrates individuals who have made a significant impact on the industry, championing ethical AI practices and fostering inclusive.

Apr 2024 - Apr 2024

Ai Unleashed Podcast: Insights Into Ai Data Products

Pittsburgh, PA, US

In this podcast, I discuss about AI Data Products and share my journey and perspective into AI.

Apr 2024 - Apr 2024

Senior Director Of Data Science, Ai & Insights

San Francisco, CA, US

  • As the leader of the data science and analytics organization, I was responsible for developing and maturing DocuSign's data strategy, platform, and capabilities that helped establish data driven decision-making.
  • Develop strategy and capabilities to ensure the availability of high-quality, governed, and easily accessible certified sources of truth data that allow DocuSign to have a complete 360-degree view of its customers.
  • Unlock the full value of the product, marketing, and customer data through data science modeling and analytics to help DocuSign have the right insights at the right time
  • Deliver data science models, data products, and capabilities to enable effective product & marketing strategy, drive PLG, and maximize product usage, adoption, and customer experience
  • Build practice and capabilities to transform experimentation into a seamless part of the product development lifecycle
  • Develop, test, and benchmark AI/ML models, algorithms, and products to deliver the best-in-class AI experience
Sep 2019 - Jun 2023

Winner Of 2023 Ai100 Award (100 Most Influential Ai And Analytics Leaders In Usa)

San Francisco, CA, US

The AI100 Awards is a prestigious annual award that recognizes and celebrates the achievements of individuals who have made significant advancements in the field of Analytics & AI in enterprises. The AI100 Award is issued by AIM Media House and MachineCon

May 2023 - May 2023

Global Artificial Intelligence Conference Speaker

San Francisco, CA, US

Title: Employing AI to extract actionable insights from qualitative user feedback/commentsAbstract:Everyday, thousands of DocuSign users leave qualitative product reviews via in-product surveys. These reviews represent a trove of rich data on user pain points and potential product innovations, but this information has been largely untapped due to the lack.

Mar 2022 - Mar 2022

Product School Webinar: The Foundation Of A Successful Data Organization

San Francisco, CA, US

Abstract:Product School webinar about what is Data Product Management, why it is critical for every modern data organization, and what are the key qualities for a successful Data Product Manager.https://www.linkedin.com/video/event/urn:li:ugcPost:6886685267139289089/

Feb 2022 - Feb 2022

Data Science Leaders Podcast: Elevating Your Team As Strategic Business Partners

San Francisco, CA, US

Abstract:Data is the foundation and guide rails for any successful business strategy. In this podcast, I discuss how to establish a data science organization as a strategic partner to the business to help form business and product strategy and help drive top-line growth. I also discuss how adopting a product mindset allow data science organization to be.

Feb 2022 - Feb 2022

Sunny Side Up Media Podcast: Building A Data Driven Product Team

San Francisco, CA, US

Abstract:In this podcast, I talk about building a data-driven product organization and why it is important in today’s times. I also discuss the benefits of aligning the product and GTM teams in a company and understanding the collective goals and being data-driven on how to develop and grow products successfully.

Sep 2021 - Sep 2021

The Data Standard Audio Experience Podcast: Building Ai Solutions For A Data-Driven World

San Francisco, CA, US

Abstract:In this podcast, I discuss how organizations can go about developing AI strategies and capabilities to ensure the AI solutions are creating optimum value while maximizing investment, efficiency, and customer experience. I also discuss the major challenges organizations encounter when it comes to AI and how they can address them effectively &.

Feb 2021 - Feb 2021

Featured Speaker At Product School

San Francisco, California, US

Product School is a global leader in Product Management training with a community of over one million product professionals. As a featured speaker, I help inspire the next generation of Product Managers to create innovative data products and apply best practices in their work.

Feb 2022 - Feb 2022

Director, Big Data Engineering & Data Products

Santa Monica, CA, US

  • As the leader of the data product and solution organization, I was responsible for leading a global organization of engineers, product managers, architects, data scientists, and analysts to develop and deliver.
  • Hulu's in-house A/B testing and experimentation solution and service
  • Real-time big data exploration and analytics tool. It enables real-time ingestion, tagging, processing, storage, and exploration of petabyte-scale data at sub-second latency
  • Hulu instrumentation tag system (10 million of events per minute)
  • Marketing data products and solutions for subscription and campaign management
  • Hulu’s internal BI, product analytics and operational reporting products and API services
Oct 2017 - Sep 2019

Winner Of 2019 Snowflake Data Drivers Award (Data Science Manager Of The Year)

Santa Monica, CA, US

This award goes to a technology trailblazer who has implemented a world-class data science program within his or her organization through data visualization.

Jun 2019 - Jun 2019

Global Artificial Intelligence Conference-Solving Business Problems With Ai Keynote Panel

Santa Monica, CA, US

Keynote Panel: Solving Business Problems with AI

Apr 2019 - Apr 2019

Data Con La Speaker

Santa Monica, CA, US

Title: Real-time Operational Intelligence at Hulu (at Petabyte Scale)Abstract: Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. Operational intelligence allows modern organization to use that data asset in real-time to enable immediate insights to their business operations.

Aug 2018 - Aug 2018

Global Artificial Intelligence Conference-Keynote Panel Moderator

Santa Monica, CA, US

Keynote Panel Moderator: The Future of Artificial Intelligence

Apr 2018 - Apr 2018

Director Of Product Management, Big Data & Analytics Platform And Products

Seattle, Washington, US

  • As a key leader of the data organization, I was responsible for developing, evangelization, and executing the strategy and vision for data products and capabilities to enable the democratization and monetization of the.
  • Developed and championed Getty's Data Democratization and Big Data Analytics strategies and capabilities
  • Developed the budget and secured $5M in funding from the board of directors to execute the strategies
  • Developed and productionized GEDI, Getty's AWS-based big data and analytics platform that supports and enables capabilities such as Advanced & self-service analytics, data harmonization, visualization, exploration &.
  • Guided the migration of Getty's web analytics platform from Omniture to Google Analytics which resulted in $1M in savings over 2 years when considering the total cost of ownership
  • Helped achieve massive simplification of enterprise data warehouse data by reducing the number of user-accessible tables from 1150 to 20 core tables
Oct 2015 - Sep 2017

Innovation Enterprise High Tech Summit Speaker

Seattle, Washington, US

Presentation Title: Data Strategy – Essential Building Blocks and Key Barriers for Long-term SuccessAbstract: Data has become a strategic assets for most modern organizations and more and more organizations are focusing on setting up a vision to use and manage data to gain competitive advantages and attain one or more of the organization’s goals. In this.

Apr 2017 - Apr 2017

Gartner Data & Analytics Summit Speaker

Seattle, Washington, US

Presentation Title: Data Democratization at Getty ImagesAbstract:In this presentation Indrasis will walk through how Getty Images have developed an effective data democratization strategy and used big data tools and technologies to develop a self-serve data analytics platform to harness and analyzes its diverse and complex.

Mar 2017 - Mar 2017

Big Data Innovation Summit Speaker

Seattle, Washington, US

Presentation Title: Developing Strategy & Capabilities to Enable Data DemocratizationAbstract: Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. But to harness the most out of that powerful assets it is essential that everyone in the organization have access to the data.

Sep 2016 - Sep 2016

Head Of Product And Strategy (Iot, Data, Ai, Wireless Location)

Bothell, Washington, US

  • Fast-paced start-up company backed by Craig McCaw. Managed multiple responsibilities and contributed to the company’s needs in multiple areas. Started as lead algorithm engineer to architect and develop cloud-based.
  • Lead product management, product development, product strategy, product pricing and product marketing functions and initiatives.
  • Lead the strategy formation, implementation and alignment at all levels including business, marketing, technology, operational, go-to-market, commercialization and manufacturing strategies.
  • Business development of smart wireless and location sensors based IOT products and solutions
Jun 2015 - Oct 2015

Director Of Product Management; Head Of Data Science, Ml & Ai

Bothell, Washington, US

  • Fast-paced start-up company. Managed multiple responsibilities and contributed to company’s need in multiple areas.DATA SCIENCE & ADVANCED TECHNOLOGY:
  • Lead and manage data science, research, new technology and system level engineering functions.
  • Spearhead the development of RECON's AWS based analytics & machine learning program, platform and applications.
  • Manage development of internet of things, M2M, smart sensors (ZigBee, Bluetooth, WiFi, RFID) and location technology solution.
  • Lead development and implementation of long-term technology roadmap and strategy.
  • Lead the R&D effort for innovation and new technology development.
Mar 2013 - Jun 2015

Ieee Seattle Communication Society And Vehicular Technology Society Speaker

Bothell, Washington, US

Title:Low-cost, High-precision Approach to Indoor/Outdoor Location and Telemetry

Sep 2013 - Sep 2013

Lead Algorithm Engineer (Iot, Data, Ai/Ml, Wireless Location)

Bothell, Washington, US

  • Fast-paced start-up company. Managed multiple responsibilities and contributed to company’s need in multiple areas – lead research and development, algorithm engineer, product manager, program manager, technical.
  • Architect & lead the development of the cloud based location, analytics, machine learning and predictive modeling platform.
  • Play lead role in research, development, architect and implementation of location estimation algorithm and location performance improvement filters. Technologies include Statistical signal processing, Estimation.
  • Mange RLTS & LBS (Indoor, Outdoor, Vertical and Hybrid location) products and programs
  • Drive R&D effort for innovation and new technology development.
  • Architect and develop could based software and APIs to support location based services platform.
Feb 2011 - Mar 2013

Staff Engineer

Waltham, MA, US

  • Research and Algorithm Development in the area of statistical signal processing and estimation theory with application to Air Traffic Control (ATC) and Navigation to provide technical support to Federal Aviation.
  • Enhance the performance of existing algorithms and system by conducting modeling, simulation, statistical analysis, software implementation, testing and validation.
Sep 2008 - Feb 2011

Project Manager & Senior Research Engineer

Paris, FR

  • Project Manager: Coordinate & manage R&D projects (feasibility, development & deployment) with members from R&D and operations from Europe and North America
  • Responsible for innovative Machine Vision, Machine Learning, Control System and Automation solutions (feasibility study & proof of concept, preparation of specifications, hardware selection, algorithm development and.
  • Research and development in areas such as Advance Process Control, Automation, Fault Detection, Machine Vision, Pattern Recognition, Artificial Intelligence, Optimization and Industrial IT & Communication.
  • Collaborate with customers, system developers, sub-contractors, business development group and other entities of Air Liquide to ensure an efficient transition of novel ideas from ground research phase to final product.
  • Writing research proposal, project proposal, invention disclosure and patent application.
Jan 2006 - Aug 2008

Air Liquide Advance Process Control & Optimization Conference Speaker

Paris, FR

Title:Energy Efficiency Evaluation Tool for Air Separation Unit

Jun 2008 - Jun 2008

Research Assistant (Ece Dept.)

Provo, UT, US

  • Conduct research in the field of Radio Astronomical Image Reconstruction.
  • Conduct study on Interference Mitigation using Multiple Feed Array.
Sep 2005 - Dec 2005

Research Intern

Paris, FR

  • Research and development in areas such as Advance Process Control, Automation, Machine Vision and Industrial IT & Communication.
Aug 2004 - Jun 2005

Graduate Student Assistant, International Center

Chicago, Illinois, US

  • System administrator for Windows 2000 servers.
  • Development and maintenance of international center website.
Sep 2003 - Aug 2004

Engineer

Columbus, Ohio, US

  • Design, develop and test of microprocessor based industrial power electronics products.
  • Train dealers and customers.
Aug 2000 - Feb 2002
Team & coworkers

Colleagues at BOLD

Other employees you can reach at niche.com. View company contacts for 51 employees →

4 education records

Indrasis Mondal, Ms, Mba education

Master Of Business Administration (Mba), Executive Mba, Business Executive Leadership & General Management

Seattle University-Albers School Of Business And Economics

Ms, Electrical Engineering

Illinois Institute Of Technology

Btech, Electrical & Electronics Engineering

National Institute Of Technology Calicut

Non Degree, Electrical Enginerring

University Of Massachusetts Lowell
FAQ

Frequently asked questions about Indrasis Mondal, Ms, Mba

Quick answers generated from the profile data available on this page.

What company does Indrasis Mondal, Ms, Mba work for?

Indrasis Mondal, Ms, Mba works for BOLD.

What is Indrasis Mondal, Ms, Mba's role at BOLD?

Indrasis Mondal, Ms, Mba is listed as Vice President, Product, AI at BOLD.

What is Indrasis Mondal, Ms, Mba's email address?

AeroLeads has found 1 work email signal at @docusign.com for Indrasis Mondal, Ms, Mba at BOLD.

What is Indrasis Mondal, Ms, Mba's phone number?

AeroLeads has found 4 phone signal(s) with area code 310, 424, 206 for Indrasis Mondal, Ms, Mba at BOLD.

Where is Indrasis Mondal, Ms, Mba based?

Indrasis Mondal, Ms, Mba is based in Greater Seattle Area, United States, United States while working with BOLD.

What companies has Indrasis Mondal, Ms, Mba worked for?

Indrasis Mondal, Ms, Mba has worked for Bold, Niche, Docusign, Product School, and Hulu.

Who are Indrasis Mondal, Ms, Mba's colleagues at BOLD?

Indrasis Mondal, Ms, Mba's colleagues at BOLD include Zach Chatham, Madeline Marotta, Austin Bolstad, Eddie Kingston, and Ben Moats.

How can I contact Indrasis Mondal, Ms, Mba?

You can use AeroLeads to view verified contact signals for Indrasis Mondal, Ms, Mba at BOLD, including work email, phone, and LinkedIn data when available.

What schools did Indrasis Mondal, Ms, Mba attend?

Indrasis Mondal, Ms, Mba holds Master Of Business Administration (Mba), Executive Mba, Business Executive Leadership & General Management from Seattle University-Albers School Of Business And Economics.

What skills is Indrasis Mondal, Ms, Mba known for?

Indrasis Mondal, Ms, Mba is listed with skills including Leadership, Management, Product Management, Signal Processing, Algorithms, Machine Learning, Image Processing, and Software Development.

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