VP, Services
Listed on 2026-07-21
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IT/Tech
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 early career experience with hands on coding in 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
- Establishes and maintains the technical strategy and application architecture that provides for the growing demands of the business
- Owns and advances the engineering culture, including developer experience, AI-assisted development tooling, engineering productivity metrics, and talent practices that attract and retain high-performing technologists.
- Develops and presents compelling technology investment cases to executive audiences, translating engineering strategy into business impact terms including ROI, risk, and competitive differentiation.
- Monitors the evolving technology landscape, including AI/ML, cloud, and industry trends, and integrates relevant developments into the engineering strategy and roadmap with appropriate speed and discipline.
- Understands the current application portfolio and determine risk and future direction consistent with the overall long-term IT strategy
- Owns the operational excellence and on-time delivery of the applications portfolio through disciplined processes, clear metrics and accountable teams
- Works with external third parties to assess partnership opportunities and define external requirements
- Set the engineering standards for architecture, quality and delivery, and hold teams accountable to them
- Provides leadership in the 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 both strategic and tactical initiatives across the company
- Knowledge of modern data-platform engineering at scale, lakehouse architecture, data mesh principles, data-product ownership and the modern data stack, with production experience standing up pipelines and governed data products that the business relies on.
- Ability to provide AI/ML leadership through to production, demonstrated experience leading AI/ML product initiatives, including…
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