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SVP Data Engineering

Actively Reviewing the Applications

Questhiring

India, Haryana, Gurugram Full-Time On-site

Posted 11 hours ago • Apply by June 9, 2026

Job Description

Senior Vice President (SVP) – Data

Preferred Background: B2C / D2C Digital Platforms

Role Overview

We are seeking an experienced SVP – Data to lead the enterprise data strategy for a large-scale consumer platform. The ideal candidate will have a strong background in B2C or D2C companies, where data is central to driving customer acquisition, personalization, recommendation systems, and growth analytics.

This leader will oversee data engineering, analytics, AI/ML, and data platforms that support millions of users and enable real-time decision-making across the organization.

Key Responsibilities

Consumer Data Strategy

Define and execute a data strategy focused on customer growth, retention, and personalization.
Build data capabilities that power customer insights, recommendation engines, and marketing optimization.
Enable real-time analytics for user behavior and engagement.

Data Platform & Infrastructure

Lead development of large-scale consumer data platforms supporting high traffic applications.
Build real-time streaming data pipelines for user events, transactions, and engagement data.
Implement scalable data lake / data warehouse architectures.

AI & Personalization

Drive development of AI-powered personalization, recommendation systems, and customer segmentation models.
Partner with product teams to embed ML models into customer-facing products.

Growth & Marketing Analytics

Enable data-driven customer acquisition, retention, and lifecycle management.
Support growth, marketing attribution, and experimentation platforms (A/B testing).

Data Governance

Ensure compliance with data privacy regulations and customer data protection.
Implement enterprise data governance, cataloging, and quality frameworks.

Required Experience

20+ years of experience in data engineering, analytics, or data platforms.
Must have leadership experience in B2C or D2C digital platforms.
Experience managing large-scale consumer datasets (millions of users).
Proven experience leading global data teams (50–200+ engineers, scientists, analysts).
Strong experience with customer analytics, personalization, and recommendation systems.

Preferred Company Background

Candidates from leading consumer tech, e-commerce, or digital platforms, such as: