Vice President (Identity) , Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Vice President (Identity), Engineering in United States.

This is a highly strategic, executive-level engineering leadership role responsible for owning and evolving a large-scale identity and data platform that powers AI-driven marketing and customer intelligence capabilities. You will lead a 50–60+ person engineering organization focused on identity resolution, data ingestion, enrichment, and activation across real-time and batch systems. The role sits at the intersection of architecture, AI enablement, and platform scalability, directly shaping how identity data fuels downstream products and machine learning applications. You will define long-term technical vision, ensuring the platform meets the highest standards for performance, reliability, privacy, and compliance. Working closely with executive leadership, product, and AI teams, you will transform identity into a core intelligence layer across the ecosystem. This is a hands-on leadership role where strategic thinking and deep technical credibility are equally critical. The environment is fast-moving, innovation-driven, and highly focused on measurable business impact.

Accountabilities:

Lead the end-to-end vision and execution of the Identity & Data Platform, ensuring scalable, low-latency, and highly reliable systems that support real-time and batch processing needs.

• Own the strategic roadmap for identity resolution, ingestion, enrichment, and activation across the full data lifecycle
• Lead and scale a large engineering organization (50–60+ engineers), including managers and senior technical leaders
• Drive advancement of identity graph systems, including deterministic and probabilistic matching across channels
• Establish the platform as a foundational “context engine” powering AI-native applications and real-time decisioning
• Partner cross-functionally with AI, product, and data teams to integrate identity services across the ecosystem
• Ensure compliance with global data privacy and governance regulations (e.g., GDPR, CCPA)
• Define and track platform KPIs including latency, accuracy, reliability, and system performance
• Collaborate with executive leadership on strategy, investment priorities, and long-term platform evolution
• Recruit, mentor, and develop senior engineering talent while building strong succession pipelines
• Drive adoption of modern data engineering and AI-native development practices across teams

Requirements

This role requires deep technical expertise in identity systems combined with proven executive engineering leadership experience in large-scale, data-intensive environments. Candidates should bring strong architectural judgment, strategic vision, and the ability to lead at scale.

• 12+ years of engineering leadership experience, including managing large distributed engineering organizations
• Proven experience leading identity resolution, identity graphs, or large-scale data platforms
• Strong background in data engineering systems (batch and real-time architectures, distributed systems, APIs)
• Experience with modern data technologies such as Snowflake, BigQuery, Redshift, Spark, Airflow, or similar ecosystems
• Deep understanding of data governance, privacy, and regulatory frameworks (GDPR, CCPA)
• Demonstrated success building and scaling teams of 50+ engineers, including senior managers and directors
• Strong executive communication skills with ability to influence C-level stakeholders
• Track record of delivering AI-driven or data-powered platform capabilities with measurable impact
• Ability to balance long-term architecture vision with hands-on technical and organizational leadership
• Strong problem-solving skills, with a focus on scalability, reliability, and performance optimization

Benefits

• Compensation range: $400,000 – $500,000 depending on experience and location
• Unlimited PTO and flexible work arrangements
• Comprehensive medical, dental, and vision insurance
• Employee equity participation in the company
• Employee discounts, wellness programs, and pet insurance
• Remote-friendly environment with global collaboration opportunities
• Inclusive and diverse workplace culture focused on innovation and belonging
• Opportunities to work on large-scale AI and data platform challenges.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1