Vice President, Software Engineering

Experian

Vice President of Software Engineering leading marketing and statistical products development at Experian Automotive. Overseeing design, delivery, and scalability while fostering high-performance engineering culture.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesLead💰 $225,000 - $325,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading engineering teams and driving technology transformation, with a strong focus on AI integration and modern software architectures. Proven ability to align technology initiatives with business objectives while ensuring high-quality software delivery and operational efficiency.

Highest-signal resume keywords

15+ Years Software Engineering ExperienceSenior Leadership ExperienceAI-Enabled Product DevelopmentDevOps and CI/CD ExpertiseModern Software Architectures (AWS, APIs)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development Lifecycle (SDLC)Architecture DesignAgile MethodologiesMicroservices DevelopmentAI Application ArchitectureB2B Frontend UI DevelopmentBackend Microservices DevelopmentBatch Job DevelopmentDelivery Predictability FrameworkEngineering KPIs Monitoring

Soft Skills

LeadershipMentoringCollaborationStrategic ThinkingCustomer-Centric Approach

Tools & Technologies

AWSNode.jsReactPythonTerraformGenerative AILLMsAutomation PlatformsCI/CD PipelinesMCP

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in EngineeringMBA (Preferred)

Industry Keywords

SaaS PlatformsHigh AvailabilityScalabilityPerformance (SLA & RTO)Responsible AI Practices

Tech Stack

Tools & technologies

AWSCloudJavaScriptMicroservicesNode.jsPythonReactSDLCTerraform

About the role

Key responsibilities & impact

Define and drive the long-term engineering vision, strategy, and roadmap
Partner with executive leadership (CTO, Product, Sales and Sales Ops Leaders) to align technology initiatives with business objectives
Evaluate emerging technologies (Generative AI, Agentic AI, LLMs, MCP, automation platforms) and translate them into measurable business value
Lead technology transformation, modernization, and innovation efforts
Oversee end-to-end software development lifecycle (SDLC) including architecture, development, testing, release, and operations
Ensure delivery of high-quality, scalable, secure, and reliable software systems
Establish and monitor engineering KPIs (velocity, quality, uptime, cost efficiency)
Establish an AI-first software engineering framework leveraging GenAI-assisted development, intelligent testing, code generation, documentation, and deployment automation to significantly improve developer productivity and software quality
Drive architectural decisions, platform strategy, and technology standards
Ensure modern engineering practices (cloud-native, microservices, DevOps, CI/CD, AI integration where relevant)
Balance build vs. buy decisions and optimize technology investments
Work closely with Product Management to deliver customer-centric solutions
Partner with sales and sales ops team to listen to voice of customer and improve customer satisfaction
Partner with Security, Infrastructure, Data, and Operations to ensure integrated delivery and governance for responsible AI
Align with finance and business leaders on budgeting and ROI for investment
Establish governance, processes, and best practices for engineering operations
Improve engineering productivity, quality, and predictability
Manage budgets, vendor relationships, and external partners
Build, lead, and scale high-performing engineering teams across multiple disciplines while fostering an AI-first culture emphasizing continuous learning and upskilling
Recruit, mentor, and retain top engineering talent and while ensuring we have succession plans & leadership pipelines

Requirements

What you’ll need

15+ years of software engineering experience with at least 5+ years in senior leadership roles
Proven track record of leading distributed engineering teams in US and overseas
Experience delivering complex, enterprise-scale or high-growth SaaS platforms with high availability, scalability and performance (SLA & RTO)
Experience developing AI-enabled customer-facing products or integrating AI capabilities into enterprise applications
Experience in setting up framework to establish delivery predictability and cycle time improvements
Strong background in modern software architectures (AWS, APIs, MCPs)
Experience with DevOps, CI/CD pipelines, and agile methodologies
Understanding of Generative AI, LLMs, AI application architecture, integrating AI services, and responsible AI practices/governance
Experience in B2B frontend UI, backend microservices and batch job development
Knowledgeable about REST, Node.js, React, Python, Terraform, AWS RDS
Bachelor's or Master's degree in Computer Science, Engineering, or related field (MBA preferred but optional)

Benefits

Comp & perks

Comprehensive executive level total rewards package
Flexible time off including unlimited vacation, volunteer time off, and 12 paid holidays
Core benefits including medical, dental, vision, and matching 401K