Vice President, Engineering

First AmericanSanta Ana, CA
8hHybrid

About The Position

The Vice President of Engineering for DNA is a senior technology leader responsible for building and scaling data platforms, application ecosystems, and AI-enabled products that power next-generation analytical and transactional capabilities. This role sits at the intersection of data, application engineering, and AI, ensuring tight alignment between data foundations, services, and user-facing applications. You will lead global engineering teams delivering end-to-end products—from data ingestion and processing to APIs, intelligent services, and customer-facing applications. You will define architecture, scale global teams, and deliver high-quality products with predictable execution—while evolving the platform to be AI-ready by design, enabling machine learning and generative AI capabilities to be embedded across core workflows. Role is Hybrid out of Santa Ana, CA

Requirements

  • 12+ years of engineering experience, with 5+ years in senior leadership roles managing global teams
  • Proven experience leading application and platform engineering organizations, in addition to data platforms
  • Demonstrated success delivering complex, enterprise-scale systems and products
  • Technical Expertise Modern data architectures (lakehouse, streaming, warehouse)
  • Distributed systems and scalable backend architectures
  • Microservices and API design
  • Cloud platforms (AWS, Azure, or GCP)
  • Strong programming background (e.g., Python, Java, or similar)
  • AI & Data Systems Experience building or scaling AI/ML-enabled platforms or applications in production
  • Understanding of: Feature engineering and data modeling for AI Model serving and inference patterns Vector databases or semantic search Retrieval-based or AI-enhanced application architectures
  • Experience integrating AI capabilities into real-world applications and workflows
  • Familiarity with MLOps or LLMOps practices

Responsibilities

  • Technical Strategy & Architecture Define and drive end-to-end architecture across data platforms, application services, APIs, and user-facing systems
  • Design scalable systems supporting both analytical and transactional workloads
  • Establish domain-driven design, service boundaries, and API-first architecture
  • Architect AI-ready data foundations, including feature availability, metadata, and structures optimized for machine learning and AI use cases
  • Define patterns for integrating AI/ML and generative AI capabilities into applications
  • Lead modernization initiatives (cloud-native, microservices, platform consolidation)
  • Establish standards for data governance, system design, resilience, and observability
  • Product & Platform Engineering Own delivery of end-to-end products, including: Analytical and data-driven applications Customer-facing and internal applications APIs, domain services, and shared platforms
  • Partner with product leadership to translate strategy into scalable engineering roadmaps
  • Lead development of AI-enabled features and intelligent applications
  • Ensure strong SDLC practices (testing, CI/CD, release engineering)
  • Drive engineering accountability for product performance, reliability, and user experience
  • Global Engineering Delivery Lead global engineering teams across multiple regions and time zones
  • Establish product-aligned team structures with clear ownership of services and domains
  • Implement delivery governance with clear milestones and measurable outcomes
  • Optimize global delivery models to balance speed, quality, and cost
  • Manage capacity planning, workforce strategy, and vendor partnerships
  • Operational Excellence & Reliability Own performance, uptime, scalability, and cost efficiency across platforms and applications
  • Implement metrics-driven engineering management (velocity, quality, reliability, cost)
  • Establish observability across data, services, and AI systems
  • Drive SRE practices, including incident management and continuous improvement
  • Implement MLOps/LLMOps practices, including model monitoring, performance evaluation, and lifecycle management
  • Ensure compliance with security, privacy, and regulatory standards
  • Talent & Culture Build and scale global teams across: Application engineering (frontend and backend) Data engineering Platform engineering
  • Develop leaders who own products and platforms end-to-end
  • Foster a culture of ownership, accountability, and engineering excellence

Benefits

  • Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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