Manish Bindrani

CEO

Gurgaon, Haryana, India13 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led strategic operations for Uber in India and South Asia.
Extensive experience in marketing analytics from top firms.
Expert in managing diverse product categories and marketplaces.

Stackforce AI infers this person is a strategic leader in the mobility and transportation industry.

Contact

Skills

Other Skills

Business StrategyProduct ManagementCategory ManagementProject ManagementBusiness AnalysisOperations ManagementStrategyMS ExcelManagementProblem SolvingTeam ManagementLeadershiptechnologyPnL Management

About

Marketplace & Category head for Intracity Cars in Uber India & SA covering UberGO, Premier, XL & Others, Previously head of UberAuto, lead for low cost products (UberAuto & UberMoto) in Uber & Sr Operations Manager with experience in strategic operations(Gurgaon) & City Operations(Kolkata). Experience includes 3 years of marketing analytics experience from McKinsey & Company and Mu Sigma. Projects span across geographies, industries and topics. PGDBM from XLRI

Experience

13 yrs 6 mos

Total Experience

4 yrs 6 mos

Average Tenure

10 yrs 10 mos

Current Experience

Uber

7 roles

Head of Business Operations(BizOps) - APAC

Promoted

Oct 2025 – Present · 6 mos

Head - Supply Growth India & South Asia

Mar 2025 – Oct 2025 · 7 mos

Head, Electrification & Strategic Verticals, India & South Asia

Promoted

Jan 2024 – Mar 2025 · 1 yr 2 mos

Lead for Uber's electrification & adjacent verticals in the India & South Asia region.

Category Head - Cars Marketplace, India & South Asia

Oct 2021 – Dec 2023 · 2 yrs 2 mos

Category Head India & SA - Auto & Moto

Promoted

Apr 2018 – Oct 2021 · 3 yrs 6 mos

Sr Operations & Logistics Manager

Mar 2017 – Mar 2018 · 1 yr

Operations & Logistics Manager (Lead)

Apr 2015 – Mar 2017 · 1 yr 11 mos

Mckinsey & company

Analyst

Dec 2011 – May 2013 · 1 yr 5 mos · Gurgaon, India

Mu sigma

Business Analyst

Sep 2010 – Dec 2011 · 1 yr 3 mos

Experience with the world's largest Home Improvement retailer across marketing and financial planning domains. Leveraging analytics to help them to:
1.) Understand & provide consumer and marketing insights to build pricing/targeting/positioning strategy .
2.) Build customer segmentation(cluster analysis) models and customer attrition prediction.
3.) Develop automation capabilities to report sales lift due to external and internal factor and help in financial planning.
4.) Forecast sales for the various organizational offerings.