AVP, Software Engineering - Lead to Cash

Company

Cox Automotive - USA

Job Family Group

Engineering / Product Development

Job Profile

AVP, Software Engineering

Management Level

Assistant Vice Presidents (AVP)

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

No

Work Shift

Day

Compensation

Compensation includes a base salary in the range of $217,400.00 - $362,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

The AVP, Software Engineering, Lead to Cash, provides senior engineering leadership for the Lead to Cash value stream — with full accountability for both end-to-end value delivery and the health, depth, and innovation of the engineering platforms that enable it. Leads software engineering organization across Customer Platforms, Billing Platforms, Integration engineering, and Master Data Governance ensuring each platform is built and maintained with engineering excellence and AI readiness.  Engages with cross-functional leadership to understand business requirements, architecture and technology direction and evaluate alternative approaches, ensuring software and systems are designed accordingly.  Incorporates state-of-the-art concepts and practices to facilitate system functionality, scalability, resilience and security, as well as ease-of-use (developer / user experience), and accountable for driving Cox Automotive's AI Transformation across the full engineering lifecycle.

Primary Duties/Key Responsibilities

• Serves as the single engineering escalation point for value stream delivery  

• Operates as a peer to Product leadership on roadmap prioritization, delivery planning, and stakeholder communication across the full portfolio.  

• Holds Platform Leaders accountable for platform health, technical depth, AI tooling adoption, and the performance of Value Stream Leaders within their organizations — ensuring delivery accountability flows through the platform org all the way to E2E business outcomes. 

• Establishes appropriate engineering operating model for value stream delivery — including release cadence, quality gates, and automated validation standards. 

• Resolves cross-platform engineering dependencies and release coordination across multiple concurrent platform teams to maintain delivery velocity. 

• Owns master data governance inclusive of data standards, data quality, and data accountability across Lead to Cash to enable reliable, consistent business outcomes. 

• Develops and retains Platform Leaders — setting clear expectations for technical excellence, platform innovation, AI transformation readiness, and the development of Value Stream Leaders within their organizations. Builds a strong leadership pipeline. 

• Leads AI Transformation (AiT) execution across the value stream — driving adoption of spec-driven development, AI-assisted engineering tooling, and AI-enabled delivery practices. 

• Keeps abreast of current and future business, industry, and technology trends — with particular focus on AI-enabled development practices and their applicability to the value stream. 

• Stays ahead of vendor AI roadmaps and negotiates from a position of technical credibility. 

• Establishes long-range direction for software product research and development within the value stream, aligned to Cox Automotive's AI transformation strategy. 

• Other duties as needed or required. 

 

Required Experience & Specialized Knowledge and skills 

• Bachelor's degree in a related discipline and 14 years' experience in a related field with at least 7 years' experience in a management role; or a master's degree and 12 years' experience; or PhD and 9 years' experience. 

• Proven ability to lead and develop large, complex engineering organizations — comfortable managing through layers, building high-performing teams, and creating the conditions for talent to thrive. 

• Demonstrated experience leading engineering delivery across complex, multi-platform environments — comfortable traversing different technology stacks without needing to be the deepest expert in any single platform. 

• Proven track record of driv