Vice President of Software Engineering

About the Role 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 the Auto CTO and working closely with other technology leaders to define and execute our software engineering and AI transformation strategy. You will oversee the design, development, delivery, and scalability of products and platforms, ensuring alignment with business goals while fostering a high-performance engineering culture. What You'll Do

• Define and drive the long-term engineering vision, strategy, and roadmap in alignment with business objectives.
• Partner with executive leadership (CTO, Product, Sales and Sales Ops Leaders) to translate technology initiatives into measurable business value.
• 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. What We're Looking For
• 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. Nice to Have
• MBA preferred but optional. Compensation & Benefits
• Salary and benefits not disclosed in the posting.