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 DescriptionWe 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
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)
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.
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
Skills Required
- 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 and performance (SLA & RTO)
- Experience developing AI-enabled customer-facing products or integrating AI capabilities into enterprise applications
- Experience establishing delivery predictability frameworks and improving cycle time
- Knowledge of FinOps for cloud cost efficiency and ROI on capital investments
- Strong background in modern software architectures (cloud-native, microservices, 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 governance
- Experience in B2B frontend UI, backend microservices, and batch job development
- Knowledgeable about REST, Node.js, React, Python, Terraform, and AWS RDS
- Proven ability to lead large-scale organizational transformation, change management, and technology adoption
- Strong executive-level communication, stakeholder management, and presentation skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- MBA (preferred)
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
