VP, Data and Analytics (Remote US)

Responsibilities

• Lead a data function responsible for data infrastructure, engineering, governance, and analytics for HarperCollins across North America.
• Build a cohesive team of leaders across data disciplines and design the organization for accelerated delivery and future scalability.
• Own the enterprise data strategy, focusing on modernizing and converging data architecture on Microsoft Fabric.
• Engage and consult with senior leadership in IT and across the business to ensure data strategy deliverables align with business needs.
• Oversee the execution of data transformation, migrating existing solutions and reporting platforms to the Fabric platform to simplify the data estate.
• Optimize data quality and the delivery of analytics solutions through governed data products, DataOps, engineering standards, and observability.
• Manage and extend a portfolio of consulting and vendor partners to access specialized skills and knowledge.
• Foster effective partnerships between the data function and data science, solutions, engineering, and operations teams globally.
• Prepare the data function for AI integration by organizing and presenting data semantically to enable effective agent integration with the enterprise platform.
• Partner with the SVP for Data, Engineering, and Architecture on long-term strategy and roadmap development.

Qualifications

• 15+ years of experience in Data and Analytics roles.
• 5+ years of experience leading data teams specifically managing high-volume, high-complexity ERP data.
• Proven ability to devise strategic goals within a complex business environment and motivate teams to achieve them.
• Capability to envision how data creates value for the business in the future and communicate this to audiences across the company.
• Exceptional ability to engage, influence, and collaborate with stakeholders at all levels to align business priorities with technical execution.
• Fluency in modern data and analytics platforms, including Lakehouse architectures, infrastructure, data modeling, pipelines, and BI tools.
• Extensive experience with Microsoft’s cloud data platform components and their evolution into Fabric.
• Strong background in delivering complex data engineering solutions with rigorous technical standards.
• Demonstrated experience leading enterprise-level data transformations and organizational change.
• Strong understanding of the analytical potential of AI and its integration with enterprise data platforms.
• Experience with JD Edwards (JDE) integrations is highly preferred.
• DAMA-DMBOK certification or similar data management accreditation is an advantage.

Pay

The salary range for this position is $240,000-$260,000.