VP, Services

Position: VP, Application Services

Ingram Content Group (ICG) is hiring a

VP Application Services to join our IT team at our La Vergne, TN (greater Nashville area) headquarters. This individual will provide executive-level product, technical, and strategic leadership across Ingram Content Group’s software engineering, software architecture, data engineering, and artificial intelligence teams. They will be accountable for the full technology product lifecycle—from design and development through deployment, operations, and continuous improvement—ensuring that platforms and products deliver measurable business outcomes.

The role partners with senior business leaders to define and execute platform roadmaps that advance ICG’s competitive position in the global book supply chain, translating complex technical strategy into clear business value and driving organizational alignment across a matrixed engineering portfolio.

Ingram’s Technology team is advancing initiatives around business intelligence, machine learning, continuous integration, and omnichannel. We support diverse people and technology that highlight innovation through SaaS platforms, metadata, cloud, and containerization. Our teams are agile, authentic, creative, and transparent, built on a fact‑based foundation. The world is reading, and it is our goal to connect as many people to the content they want in the simplest ways.

We seek an IT professional who strives to deliver results through collaborative partnerships, understands what drives business, and enjoys working in a connected culture.

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent
• 10 years of experience in a technical leadership role managing diverse engineering teams in a matrix organization
• 8 years of hands‑on coding experience in at least two of the following languages: C++, Java, C#, Ruby, Angular, Bootstrap, Python
• 8 years of experience with SOA, integration, and big data management including MDM
• 5 years of experience with SaaS‑based products, including product and engineering experience
• 5 years of experience with Business Intelligence, Data Visualization, Machine Learning, and predictive/prescriptive analytics

Key Responsibilities

• Establish and maintain the technical strategy and application architecture to support growing business demands
• Own and advance the engineering culture, including developer experience, AI‑assisted development tooling, engineering productivity metrics, and talent practices that attract and retain high‑performing technologists
• Develop and present compelling technology investment cases to executive audiences, translating engineering strategy into business impact terms including ROI, risk, and competitive differentiation
• Monitor the evolving technology landscape—AI/ML, cloud, and industry trends—and integrate relevant developments into the engineering strategy and roadmap with appropriate speed and discipline
• Understand the current application portfolio and determine risk and future direction consistent with the overall long‑term IT strategy
• Own operational excellence and on‑time delivery of the applications portfolio through disciplined processes, clear metrics, and accountable teams
• Work with external third parties to assess partnership opportunities and define external requirements
• Set engineering standards for architecture, quality, and delivery, holding teams accountable to them
• Provide leadership in recruitment, development, and retention of a high‑performing team, in accordance with budgetary principles and personnel policies
• Contribute actively at the senior leadership level, driving strategic and tactical initiatives across the company
• Apply knowledge of modern data‑platform engineering at scale, lakehouse architecture, data‑mesh principles, data‑product ownership, and the modern data stack; stand up pipelines and governed data products that the business relies on
• Lead AI/ML initiatives through production, including experience with large language models, generative and agentic AI, model evaluation, and responsible‑AI governance frameworks
• Use knowledge of cloud‑native, high‑scale application architecture, event‑driven and API‑first patterns, microservices, message…