About The Position

As the VP, Head of Technology, you will be the primary architect and engineering leader for a high-growth business division at Wiley. This role is designed for a "builder-leader"—someone who remains hands-on with the latest AI-assisted development tools while possessing the veteran experience to manage global engineering teams and deliver enterprise-grade systems. You will lead the technical execution of a strategic business model focused on maximizing advertisement revenue, scaling proprietary database products, and launching a premier Research Intelligence Platform. You will bridge the gap between complex data engineering and commercial strategy, directly shaping how Wiley masters and merges massive-scale public data with high-value private assets.

Requirements

  • The "Data Master": 10+ years of experience in software engineering, with a proven track record of building large-scale pipelines that aggregate, clean, and master disparate data sources into "Golden Records."
  • AI-Native Development: Deep, hands-on familiarity with LLMs and modern developer productivity tools. You must demonstrate how tools like Claude and Cursor can be used to significantly increase engineering output.
  • Offshore Excellence: Extensive experience managing offshore or distributed teams, with the ability to maintain high velocity and architectural integrity across time zones.
  • Enterprise Veteran: Proven ability to deliver systems that meet SOC2 Type II, ISO 27001, and GDPR/CCPA compliance standards, particularly when handling sensitive private partner data.
  • Cloud Expert: Expert-level understanding of cloud-native data warehousing (Snowflake/Databricks), Vector Databases (Pinecone/Weaviate), and Infrastructure as Code (Terraform/Pulumi).
  • Languages & Tools: Python, SQL, Cursor, Claude/Anthropic API, LangChain/LlamaIndex, and Agentic Frameworks (e.g., CrewAI).
  • Data Architecture: Spark/Flink, Airflow/Dagster, and Medallion data structures.
  • Infrastructure: AWS or Azure, Docker/Kubernetes, and Zero-Trust security environments for offshore collaboration.

Responsibilities

  • Data Mastering: Design and oversee the architecture for ingesting massive-scale public datasets and seamlessly merging them with proprietary private data to create unique, defensible insights.
  • Modern Engineering Leadership: Drive a high-velocity development culture by integrating cutting-edge AI-assisted coding workflows (e.g., Cursor, Claude) to accelerate the delivery of complex data pipelines.
  • Enterprise Delivery: Own the end-to-end lifecycle of large-scale SaaS products, ensuring they meet rigorous enterprise standards for security, uptime, and scalability.
  • Cloud & AI Strategy: Manage a robust, cloud-native infrastructure (AWS/Azure) designed for heavy data processing, Medallion Architecture, and RAG (Retrieval-Augmented Generation) systems.
  • Global Team Management: Lead and mentor a hybrid engineering organization, with a specific focus on optimizing workflows, code quality, and security protocols across offshore development teams.
  • Strategic Collaboration: Partner directly with the General Manager to align technical roadmaps with business milestones, ensuring the division's AI-powered vision is realized.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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