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Mohit Arora Email & Phone Number

Vice President, Data and AI Engineering at Capital Group
Location: Los Angeles Metropolitan Area, United States 12 work roles 2 schools
1 work email found @sapient.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Vice President, Data and AI Engineering
Location
Los Angeles Metropolitan Area, United States
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Who is Mohit Arora? Overview

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Mohit Arora is listed as Vice President, Data and AI Engineering at Capital Group, a with 20 employees, based in Los Angeles Metropolitan Area, United States. AeroLeads shows a work email signal at sapient.com and a matched LinkedIn profile for Mohit Arora.

Mohit Arora previously worked as Vice President, Data Engineering at Capital Group and Senior Director (Data Engineering & Advanced Analytics) at Publicis Sapient. Mohit Arora holds Executive Mba, Class Of 2024 from Ucla Anderson School Of Management.

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Profile bio

About Mohit Arora

Accomplished executive with over 20 years of experience spearheading large-scale data engineering and advanced analytics initiatives for investment banks, asset managers, wealth managers, and energy trading & risk management firms. Renowned for developing forward-looking technology strategies and delivering exceptional results while driving transformative change across people, processes, and technology. A high-energy leader dedicated to achieving measurable business outcomes and building sustainable, scalable solutions.Key Achievements & ExpertiseEnterprise Data Transformations: Delivered multiple enterprise-scale data transformation programs for investment management firms, each generating over $100M in organizational value.Strategic Advisory to C-Suite: Partnered with C-suite executives and senior IT leadership to define transformation strategies and develop compelling business cases, securing board approvals for critical funding initiatives.Budget & Program Leadership: Managed IT budgets exceeding $20M under the CDO organization, successfully delivering state-of-the-art, cloud-first data platforms to enhance investment management capabilities and client engagement.Leadership & Team Building: Directed enterprise-wide data foundation programs encompassing all facets of data management, leading teams of 100+ professionals to achieve strategic objectives.

Listed skills include Data Warehousing, Business Intelligence, Etl, Requirements Analysis, and 44 others.

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Mohit Arora's current company

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Capital Group
Capital Group
Vice President, Data and AI Engineering
Los Angeles, CA, US
Website
Employees
20
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12 roles

Mohit Arora work experience

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

Vice President, Data And Ai Engineering

Los Angeles, Ca, Us

Vice President, Data Engineering

Current

Los Angeles, Ca, Us

Nov 2021 - Present

Senior Director (Data Engineering & Advanced Analytics)

Boston, Massachusetts, Us

Apr 2021 - Oct 2021

Director Data Engineering & Advanced Analytics

Boston, Massachusetts, Us

Apr 2018 - Apr 2021

Senior Manager Technology (Data Engineering & Business Intelligence)

Boston, Massachusetts, Us

Played several key roles for various client engagements. Some of the most recent roles played include:• Delivery lead for an enterprise data management program for a large integrated energy company, and managed delivery for an analytics platform to support informed decision making for the business• Data Architect for one of the largest and most complex data migration and reference data management for a Trading Platform implementation program, designed the migration process, reference data, contracts and positions data management strategy • BI design lead on an analytics program for a large Canadian Investment bank that let the business get a consolidated view of the cash flows from all the derivatives traded in the various regions of the bank

Apr 2013 - Mar 2018

Bi Strategist

San Mateo, California, Us

Business Intelligence (BI)/Enterprise-Warehouse projects at the client have historically been expensive and time-consuming. To improve time-to-market and enhance the business user experience, client needed to evolve towards a holistic BI and analytics-oriented capability while adopting agile methods– aligning to enterprise strategies where it makes sense. Client partnered with Sapient to assess the current Business Intelligence (BI) technical architecture and produce a set of recommendations and actionable roadmap with next steps.Responsibilities:• Lead workshops with various stakeholders and users of the BI platform to assess the current state• Define a reference architecture to determine areas of improvement• Create a target state architecture and recommendations for process improvements to make the BI platform more efficient• Create a roadmap for the client to follow to move to the proposed target state in a gradual progression• Advise senior leadership at the client organization on industry trends and the applicability of the next generation evolution in the BI space

Sep 2015 - Dec 2015

Delivery Lead

San Ramon, Ca, Us

Worked as delivery lead for multiple data management initiatives for the midstream business of the client. Key data management initiatives rolled out to the organization include defining an enterprise data governance and data quality management strategy, building a data quality monitoring platform, creating an analytics strategy and roadmap for the organization, building a business analytics repository and rolling out data governance to the organization. Technical environment –Sql Server, IBM Datastage, SSIS, Biztalk, Tibco Spotfire, SSRS Responsibilities:• Lead delivery for various enterprise wide data management initiatives for the Pipeline business of the client• Manage delivery teams across multiple geographies to deliver an analytics platform to support informed decision making for the business• Design a Data Quality Management Platform that is leveraged by multiple business units in the organization to assess the quality of data• Develop a data governance charter for the organization and lead the effort to rollout the charter to the organization• Define an analytics strategy for the organization and create a roadmap to realize the strategy and the vision

Aug 2012 - Sep 2015

Data Architect

San Ramon, Ca, Us

Data Architect for a large Openlink Right Angle implementation to lead the migration of Client’s North American Physical Trading business. The implementation included defining all trading scenarios and re-modeling trades in the new trading platform, setting up the reference data in the new system and validating the realized and un-realized PnL after the migration.Responsibilities:• Lead the Data Management tracks for a major Openlink Right Angle implementation program to migrate their trading organization’s NA Physical business to Right Angle• Design a strategy for Reference Data Management, Contracts, positions and Transportation Schedules to be migrated to Openlink Rightangle from their legacy systems and spread sheets• Lead the overall delivery for the migration tracks and define the strategy to validate the business migration using a robust framework built to validate PnL and Risk valuations for the trades and positions migrated• Define the cutover strategy spanning multiple weekends to ensure there is no disruption to the business

Nov 2010 - Jul 2012

Bi Architect

Rbc

Toronto, Ontario, Ca

Solution Architect for a Cashflow Analytics platform for the Valuations group in the bank. The repository was built to server as a single store for all the future cash flows (fixed and floating side) for all the derivative products traded in the bank. The repository is a part of the shared services to which any of the downstream systems can subscribe and request for data. Technical environment –Oracle 10g, IBM Datastage, OBIEEResponsibilities:• Lead the design to create a trade data repository to store all the cash flow information from various trade systems used by traders in different geographies• Solution Architecture for the Cashflow Analytics platform and the Data Repository• Data Modeling, Process workflow and BI design• Effort estimation and planning for the design and delivery

Jul 2010 - Nov 2010

Bi Lead

Toronto, Ontario, Ca

BI lead for an Analytics Program to develop a real-time analytics program for a large back office accounting and P&L reporting repository setup for the bank. The program is designed to allow business users to report real-time on all the trade accounting and P&L information as it arrives in the front office systems.Technical environment –Oracle, Real-time BI (Active Pivot), UNIXResponsibilities:• Lead the design for an in-memory analytics engine to give the business the ability to link trades with their corresponding hedges and to get a view of their consolidated exposure, updated real-time, as new trades are captured in the different trading systems• Research on in-memory BI Engines, Pivot table solutions• Data Modeling, Process workflow, Cube Design

Mar 2010 - Jun 2010

Technical Lead- Bi

Zurich, Ch

Technical lead on an analytics program focused to gain more insight into Institutional Clients and Funds. The federated Data warehouse built extends its reach to around 2000 people across multiple geographies, enabling analytical reporting using Business Objects and interfacing with an in-house CRM application via J2EE web services. The BI repository built was used to analyze various instruments and their market movements, create customer segments and analyze their portfolios to compare against industry benchmarks. The project delivery team was split between UK and India. Technical environment – Informatica, Business Objects XIR2, Oracle, PL/Sql, UNIX, Autosys Responsibilities:• Lead the development of a business intelligence program for the equities research division of the investment bank. • Data Modeling, Process workflow, Data Marts Design.• Liaising with the Business Analysts to run requirement gathering workshops.• Requirements Analysis and Business Design.

Feb 2007 - Jan 2010

Lead Developer

Barcelona, Es

Developed, and led a data warehouse design for a Pan-European travel portal offering access to over 500 airlines, 45,000 hotel properties and more than 7000 car rental locations worldwide. The Analytics Platform built on the data warehouse was used to analyze the bookings data, user behavior, product trends and flag potential fraudulent bookings. Technical environment – Informatica, Business Objects XIR2, Oracle, PL/Sql, UNIXResponsibilities: • Development, Support Lead, Team Lead for a development tracks• ETL Development using Informatica• Reports Development on Business Objects

Feb 2004 - Jan 2007
Team & coworkers

Colleagues at Capital Group

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2 education records

Mohit Arora education

Executive Mba, Class Of 2024

Ucla Anderson School Of Management

Bs, Computer Science

Punjab Technical University
FAQ

Frequently asked questions about Mohit Arora

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

What company does Mohit Arora work for?

Mohit Arora works for Capital Group.

What is Mohit Arora's role at Capital Group?

Mohit Arora is listed as Vice President, Data and AI Engineering at Capital Group.

What is Mohit Arora's email address?

AeroLeads has found 1 work email signal at @sapient.com for Mohit Arora at Capital Group.

Where is Mohit Arora based?

Mohit Arora is based in Los Angeles Metropolitan Area, United States while working with Capital Group.

What companies has Mohit Arora worked for?

Mohit Arora has worked for Capital Group, Publicis Sapient, Franklin Templeton Investments, Chevron, and Rbc.

Who are Mohit Arora's colleagues at Capital Group?

Mohit Arora's colleagues at Capital Group include Zaki Bouaoudia, Rory Searing, Alexa Kim, Dimitry Drovniachine, and Christina Perez.

How can I contact Mohit Arora?

You can use AeroLeads to view verified contact signals for Mohit Arora at Capital Group, including work email, phone, and LinkedIn data when available.

What schools did Mohit Arora attend?

Mohit Arora holds Executive Mba, Class Of 2024 from Ucla Anderson School Of Management.

What skills is Mohit Arora known for?

Mohit Arora is listed with skills including Data Warehousing, Business Intelligence, Etl, Requirements Analysis, Pl/Sql, Ssis, Sdlc, and Informatica.

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