Vice President, Software Engineering (Remote)

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We are seeking a Vice President of Software Engineering to lead software development for Experian Automotive's marketing and statistical products, overseeing design, development, and delivery while fostering a high-performance engineering culture.

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

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