Vice President, Software Engineering

Remote from
USA
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
22 Aug 2026
Experience level
Director
Views / Applies
18 / 0

About Experian

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Experian is seeking a Vice President of Software Engineering to lead software development for its automotive marketing and statistical products. This senior leadership role reports to the Auto CTO and involves defining and executing the engineering and AI transformation strategy. The VP will oversee the entire software development lifecycle, drive architectural decisions, and foster a high-performance engineering culture. The ideal candidate has strong technical knowledge, business acumen, and a proven track record of leading technology transformation. This role requires collaboration with executive leadership, product management, and other teams to align technology initiatives with business goals.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight This is a C-suite level role requiring strategic leadership, technology transformation, and AI integration, making it the highest difficulty level.

Salary Analysis

Median Highly Competitive
$300,000
US Market
$200k – 400k
0 $440k
AI Insight The offered salary is not specified, but based on market data for a Vice President of Software Engineering in the US, the median salary is approximately $300,000 per year. This role commands a premium due to its seniority and the strategic importance of AI and technology transformation.

Dear Hiring Team,

I am writing to express my strong interest in the Vice President of Software Engineering position at Experian. With over 15 years of experience leading engineering teams and driving digital transformation, I am confident in my ability to deliver on the strategic vision for Experian Automotive's marketing and statistical products.

In my previous role as VP of Engineering at a leading data analytics firm, I successfully led a team of 200+ engineers, implemented AI-driven development practices, and modernized legacy systems to cloud-native architectures. I am particularly excited about the opportunity to champion AI-first engineering and contribute to Experian's mission of unlocking the power of data.

My background aligns well with the key responsibilities outlined, including strategic leadership, engineering execution, and cross-functional collaboration. I look forward to discussing how I can drive innovation and operational excellence at Experian.

Sincerely,
[Your Name]

Can you describe your experience leading a technology transformation, particularly involving AI and modern architectures?
I led a multi-year transformation at my previous company, migrating from monolithic on-premise systems to a cloud-native microservices architecture. This included implementing CI/CD pipelines, adopting DevOps practices, and integrating AI/ML capabilities to improve product personalization. The result was a 30% increase in release velocity and a 20% reduction in operational costs.
How would you build and scale a high-performing engineering team?
I focus on hiring for both technical excellence and cultural fit, fostering an environment of continuous learning and psychological safety. I establish clear career paths, invest in mentorship, and promote agile practices. Scaling involves empowering team leads, implementing standardized processes, and leveraging metrics to identify bottlenecks.
How do you balance innovation with business objectives and budget constraints?
I align innovation initiatives with business KPIs, prioritizing projects that offer clear ROI. For Example, I would evaluate emerging AI technologies with proof-of-concepts before full investment. I work closely with finance to create phased budgets that allow for experimentation while maintaining fiscal responsibility.
Describe a time you successfully managed a difficult cross-functional conflict. How did you resolve it?
In a previous role, there was tension between engineering and product teams over feature prioritization. I facilitated a series of workshops to align on shared goals, created a RACI matrix to clarify ownership, and implemented a transparent prioritization framework using weighted scoring. This improved collaboration and reduced time-to-market for key features.
What is your approach to ensuring the security and scalability of software systems?
Security and scalability are non-negotiable. I advocate for 'shift-left' security practices, integrating automated security testing into CI/CD. For scalability, I design for horizontal scaling using cloud-native services, conduct regular load testing, and implement monitoring and alerting. I also ensure that teams follow best practices for data protection and compliance.

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

At Experian Automotive, we are transforming how the automotive industry uses data to drive actionable insights. We help you manage risk, better understand your markets, target the right customers at the right time with the right offer – and keep them coming back. We are the only primary source of consumer, credit, vehicle, and digital identity data assets under one roof. From AutoCheck® Vehicle History Reports to market reporting and advanced marketing solutions, we use our unique data and advanced analytics to help the automotive industry make more informed decisions

Job Description

We are seeking a Vice President of Software Engineering to lead software development for Experian Automotive’s marketing and statistical products. This is a senior leadership position, reporting to our Auto CTO, while working closely with other technology leaders to define and execute our software engineering and AI transformation strategy. This role oversees the design, development, delivery, and scalability of products and platforms, ensuring alignment with business goals while fostering a high-performance engineering culture.

The ideal candidate brings strong technical knowledge in modern application development, strong business and financial acumen to balance innovation with business objectives, and a proven track record of leading technology transformation. This leader will champion AI-driven engineering practices and modern software architectures to boost engineering productivity, accelerate product delivery, and create differentiated customer experiences.

Key Responsibilities

Strategic Leadership

  • 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

Engineering Execution

  • 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

Architecture & Technology

  • 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

Cross-Functional Collaboration

  • 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

Operational Excellence

  • Establish governance, processes, and best practices for engineering operations
  • Improve engineering productivity, quality, and predictability
  • Manage budgets, vendor relationships, and external partners

Organization & Talent

  • 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

Qualifications

Experience

  • 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
  • Knowledgeable about FinOps for cloud cost efficiency and ROI on capital investments

Technical Expertise

  • 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

Leadership Skills

  • Exceptional strategic thinking and execution capability
  • Proven ability to lead large-scale organization transformation focused on change management and adoption of new technologies
  • Ability to influence at the executive level through effective presentation skills
  • Strong communication and stakeholder management skills

Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (MBA preferred but optional)

Additional Information

Benefits/Perks:

  • Comprehensive executive level total rewards package
  • Flexible time off including unlimited vacation, volunteer time off, and 12 paid holidays
  • This a US based, Remote position with periodic travel. #LI-Remote
  • Core benefits including medical, dental, vision, and matching 401K
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness – Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

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