VP, Application Services
Core
Executive-level leadership for software engineering, software architecture, data engineering, and artificial intelligence teams, ensuring platforms deliver measurable business outcomes in the global book supply chain.
Role type
VP, Application Services (Technical Leadership)
Builds
SaaS platforms, metadata solutions, cloud infrastructure, containerized applications, and enterprise data products (lakehouse architecture, pipelines) for publishers, retailers, libraries, and educators.
Domain
Publishing & Content Distribution / Software Engineering & Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Technical strategy & architectural vision, managing diverse engineering teams in matrix organizations, SOA & integration, big data management (MDM), SaaS product lifecycle, Business Intelligence, Data Visualization, Machine Learning, Predictive/Prescriptive Analytics, Cloud & AI/ML trends integration, Engineering culture & developer experience, Technology investment case construction.
Preferred skills
None explicitly stated as preferred (all listed as minimum qualifications).
Technologies
C++, Java, C#, Ruby, Angular, Bootstrap, Python, MDM, Lakehouse architecture, Data pipelines.
Responsibilities
Establish and maintain technical strategy and architectural vision; Plan and lead development of new software and product enhancements; Evaluate technical feasibility and design optimization; Partner with business to identify solutions yielding measurable value; Resolve issues articulated by management to ensure quality and performance; Lead development of software plans and schedules; Direct analysis of systems feasibility and design of new/revision of existing systems; Develop systems design and quality control standards; Develop, budget, and execute comprehensive roadmaps; Directly manage, mentor, and lead technology managers and engineering associates; Interface with key customers to understand needs; Work with external third parties to assess partnership opportunities; Facilitate core positioning and messaging for applications; Partner to advance responsible AI/ML adoption and governance; Lead the data engineering function including enterprise data platform; Own and advance engineering culture including developer experience and talent practices; Construct and present technology investment cases to executive audiences; Monitor evolving technology landscape and integrate developments into strategy.
Seniority
Executive (VP), hands-on IC leadership