Vice President, Software Engineering (Remote)

Experian

1d • Remote

About The Position

Experian Automotive is seeking a Vice President of Software Engineering to lead software development for its marketing and statistical products. This senior leadership role reports to the Auto CTO and collaborates with other technology leaders to define and execute the software engineering and AI transformation strategy. The position oversees the design, development, delivery, and scalability of products and platforms, ensuring alignment with business goals and fostering a high-performance engineering culture. The ideal candidate will possess strong technical knowledge in modern application development, business and financial acumen, and a proven track record of leading technology transformation. This leader will champion AI-driven engineering practices and modern software architectures to enhance engineering productivity, accelerate product delivery, and create differentiated customer experiences.

Requirements

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

Nice To Haves

• MBA preferred but optional.

Responsibilities

• 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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive