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VP Data Management

HSBCBengaluru, Karnataka, IndiaPosted 17 May 2026

HSBC is seeking a VP of Data Management to lead end-to-end delivery of data products for the UK Data and Analytics hub. The role involves managing multi-disciplinary teams, overseeing program execution, and enforcing rigorous data governance and quality controls. Candidates must have deep experience in the data delivery lifecycle, Agile methodology, and stakeholder management within a financial services environment. This position plays a strategic role in enabling data-driven decision-making across the global bank.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

HSBC is seeking a VP of Data Management to lead end-to-end delivery of data products for the UK Data and Analytics hub. The role involves managing multi-disciplinary teams, overseeing program execution, and enforcing rigorous data governance and quality controls. Candidates must have deep experience in the data delivery lifecycle, Agile methodology, and stakeholder management within a financial services environment. This position plays a strategic role in enabling data-driven decision-making across the global bank.

TAL's take

Quality 65/1004/5 clarityTier 2 company

Strong leadership role within a major global financial institution, though corporate bureaucracy and the nature of captive center operations temper the score.

The role clearly outlines responsibilities in data product delivery, team management, and stakeholder governance within a financial services context.

Salaries at HSBC

18.4 LPA average

Based on 669 Grapevine salary entries for HSBC.

View all salaries

Engineering

0 - 2 years | GCB6

8 LPA average

Range: 5 - 11 LPA

Engineering

2 - 4 years | GCB6

15 LPA average

Range: 5 - 23 LPA

Engineering

4 - 6 years | L6

14 LPA average

Range: 2 - 25 LPA

Engineering

6 - 8 years | L5

20 LPA average

Range: 15 - 28 LPA

Must haves

  • Proven track record delivering data/analytics solutions using Agile
  • End-to-end knowledge of data and analytics delivery lifecycle
  • Experience leading multi-disciplinary teams
  • Financial services experience
  • Strong stakeholder management and communication skills

Tools and skills

agiledata analyticsdata engineeringdata modellingaicloud data platforms

About the company

Global bank with established India captive operations, generally categorized as a Tier 2 employer for engineering talent compared to FAANG/Tier 1 startups.

Posts mentioning HSBC