VP Services

This individual Provides executive-level product, technical, and strategic leadership across Ingram Content Group’s software engineering, software architecture, data engineering, and artificial intelligence teams. 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. Partners with senior business leaders to define and execute platform roadmaps that advance ICG’s competitive position in the global book supply chain.

Translates complex technical strategy into clear business value and drives organizational alignment across a matrixed engineering portfolio

Want to help explore and build new ways to deliver content to the world?

At Ingram, our Technology team is blazing a trail by providing content distribution services to thousands of publishers with key initiatives around business intelligence, machine learning, continuous integration and omnichannel. We support diverse people and technology that highlights innovation through SaaS platforms, metadata, cloud, and containerization. Our teams are agile, and emphasize authenticity, creativity, and transparency upon 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. If you are an IT professional who strives to deliver results through collaborative partnerships, understands what drives business, and enjoys working in a connected culture, we can’t wait to meet you!

The ideal candidate will have the following 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 experience with at least 2 of the following languages: C++, Java, C#, Ruby, Angular, Bootstrap, Python
• 8 years of experience with SOA, integration, 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, Predictive / Prescriptive Analytics

Key Responsibilities:

• Establishes and maintains the technical strategy and architectural vision of the organizations software development and/or engineering functions.
• Plans and leads development of new software and/or product enhancements.
• Evaluates technical feasibility, design optimization and production issues.
• Partners with business to identify new solutions and/or improvements to existing solutions to yield measurable business value.
• Works to resolve issues articulated by management or other teams and ensure the resulting software meets the organizations standards of quality and performance.
• Leads the development of software plans and schedules ensuring on-time delivery of all scheduled milestones and requirements.
• Directs the analysis and preparation of systems feasibility studies, design of new systems and programs, and revision of existing systems and programs.
• Directs coding, testing, installation and maintenance of all business and scientific applications programs.
• Develops systems design standards and quality control standards for engineers.
• Develop, budget, and execute comprehensive roadmaps assigned to application/software teams
• Directly manages, mentors, and leads technology managers and their engineering associates
• Interfaces regularly with key customers to develop a deep understanding of customer needs – both articulated and unarticulated
• Works with external third parties to assess partnership opportunities and external requirements
• Facilitate development of the core positioning and messaging for the applications/software
• Partners with peer leaders to advance responsible AI and machine learning adoption, contributing to governance frameworks for model use, data quality, and ethical deployment.
• Leads the data engineering function, including the enterprise data platform (lakehouse architecture, data pipelines, and data products), ensuring trusted, high-quality data supports operational and analytical needs.
• Owns and…