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Jagbir Kaur

Miss Jagbir Kaur

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Strategy and Operations Manager at Google

  • Leadership
  • Strategic Vision
  • Business Planning
  • Product Marketing
  • Executive Management
  • Multi-level Communication

Strategy and Operations Manager

Scholar9 Profile ID

S9-052024-2801358

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About

I am Data-powered strategist with experience in analytics, management consulting, product and program management, I thrive in the dynamic space where leadership meets execution, seamlessly bridging the gap between strategy and results. With close to ~10 years of experience at Google, McKinsey, and Infosys, I've honed my skills in leading and collaborating with diverse teams, navigating complex stakeholder landscapes, and driving impactful outcomes through data-driven insights and collaborative approaches. Whether it's crafting GTM strategies for product/ sales activation, flawlessly executing programs, or building trust with senior stakeholders across functions, I bring a unique blend of strategic thinking, analytical rigor, and relationship-building expertise to the table. My passion lies in unlocking potential – both within teams and across organizations – through effective communication, shared vision, and a commitment to continuous improvement. Skillset summary: Data-driven decision-making, Business process design and execution, Data analytics, ML/ AI, Product/ program management, C-level alignment & influence, senior/ cross functional stakeholder management, Data storytelling, agile problem solver.

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skill

Skills

Experience

Experience

Strategy and Operations Manager

Google

Feb-2022 to Present
Advisory Council Member

Harvard Business Review (HBR)

Dec-2023 to May-2024
Advisory Committee Member, Strategic AI Program

CERTIFi by Mercy University

Jan-2024 to May-2024
Non faculty advisor for the CERTIFi by Mercy University ​Strategic AI Program. Designed by industry experts for professionals to use AI frameworks and best practices developed by top companies.
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Data Scientist

CUNA Mutual Group

Feb-2018 to May-2018
Intern

Infosys

Feb-2013 to May-2013
• Extensive hands-on training on technologies like Java, C++, SQL, JSF, JSP, HTML, PERL, POJO, JPA • Infosys Internship Project - Speech bot Designed an interactive computer program to simulate an intelligent conversation with one or more human users via auditory or textual methods. Used variety of tools like RebeccaAIML for server side scripting dialect and speech synthesizers for natural language software agent, Eclipse Indigo for the interface
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Test Engineer(Data Quality Analyst)

Infosys

Sep-2014 to Jun-2016
Data Quality Analyst| Banking | Reporting and Visualization | SDLC ▪ Enabled strategic decision making for senior analysts’ by devising SQL and Informatica adhoc queries and reports. ▪ Decreased the run time of SQL queries for analyzing 2 million records by 20% using stored procedures. ▪ Implemented data quality checks through ETL testing of source/target databases for validating the migration framework. ▪ Conducted ETL, Tableau and SQL, knowledge transfer sessions for the global team of 7 members. ▪ Reduced 35% of manual efforts in test preparation phase by scripting VBA macro application. ▪ Devised KPI’s for the ETL framework to communicate the results with the client.
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Junior Engagement Manager

McKinsey & Company

Sep-2020 to Jan-2022
~4 yrs of experience serving various Fortune 100 companies on large-scale digital and data transformations, cross functional project management, enterprise strategy, risk management, statistical modeling, capability building and senior executive communications including serving various clients with focus on both analytical and non analytical components (e.g., developed PPNR models, stress testing, VAR segmentation (Collections modeling), assessed data risk management capabilities, setting up remediation teams, delinquency rates projections for major O&G company, assessed resilient companies)
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Data Analyst Intern

CUNA Mutual Group

Jun-2017 to Dec-2017
Current Expected Credit Loss (CECL) study: Risk Analytics | Credit Risk Modeling ▪ Minimized the risk associated with the default loans by identifying key factors leading to delinquency and predicted the credit loss using the member data of 120 credit unions. ▪ Improved reusability, and frequent delivery of the results by implementing agile development practices. Consumer Lending study: Customer Segmentation ▪ Refined the strategy for customer acquisition and retention by segmenting customers based on demographics, transactions, and other behavioral attributes. Financial Advisor Network (FAN) project: ▪ Recommended optimal interaction mechanism by predicting the advisor priority based on their propensity to sell annuity products, increasing the sales by 12%. Debt Protection Advocacy: ▪ Identified best channels to engage with the customer to increase sales and to maximize their lifetime value by predicting the level of penetration of debt protection products across various customer segments.
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Senior Risk Consultant

McKinsey & Company

May-2018 to Aug-2020
System Engineer

Infosys

Oct-2013 to Aug-2014
Roles and Responsibilities • Analyzed the customer behavioral patterns through regular and adhoc reports for financial partners and automated reports using SQL • Gathered key clients’ requirements of the project and conducted appropriate analysis to provide support to project manager by developing business case, estimating scope, scheduling milestones/tasks for resources • Automated several time-consuming business reports using VBA resulting in reduced manual work
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Education

Education

UConn School of Business

MSc in Business Analytics and Project Management

Passout Year: 2017
I.K.Gujral Punjab Technical University (IKGPTU)

B.Tech in Computer Software Engineering

Passout Year: 2013
Grade: 81.4%
Publication

Publication

Publication

Role in Research Journals

Projects

Projects

Red Hat Business Value

Oct-2016 to Present
Built a classification model which helped to predict the customer potential based on their online activities and the characteristics of the people. Extensive use of machine learning algorithms like ensemble models, Decision tree, Logistic Regression etc. were implemented to help Red Hat’s marketing products target towards these valuable customers.
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Predictive Modeling Project- Lending Loan Club

Sep-2016 to Present
Extensive Data cleansing process was performed to prepare the data for modeling. Data Preprocessing techniques like handling missing values, Principal Component Analysis, Outliers Analysis, Transformations and Multivariate Analysis was performed using SAS JMP.
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Seminar

Conference/Seminar/STTP/FDP/Symposium/Workshop

Certificates

Certificates

Membership

Membership

Invited Position

Invited Position

Honours & Awards

Honours & Awards

Doctoral and Master Thesis Guided

Doctoral and Master Thesis Guided

Patent

Patent

Academic Identity

Authors

No Any Co Author

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