SVP Data Engineering

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 (50200+ 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:

• Consumer Internet / Marketplaces
• E-commerce & Quick Commerce
• OTT / Streaming Platforms
• Fintech Consumer Apps
• Travel / Mobility Platforms