Enterprise Data Platform Director

Role Overview

• Lead the development and execution of enterprise-wide technology innovation strategies, ensuring alignment with organizational goals and measurable outcomes.
• Own the strategic roadmap for the enterprise data platform, guiding capability growth, investment proposals, and delivery of user-centered capabilities.
• Partner with AI, Data Science, Security, Cloud Engineering, and business teams to deliver a resilient, secure, and highly usable data platform that powers analytics, AI, and business systems.
• Make architecture and technology decisions, including reference architectures, build/buy evaluations, vendor selection, and patterns for data ingestion (batch/streaming/CDC), transformation (ETL/ELT), modeling, and serving.
• Define and implement governance policies, oversee platform operations, and ensure integration with application and analytics strategies.
• Foster a product mindset by driving stakeholder engagement, prioritizing initiatives, and communicating progress effectively.
• Manage the innovation pipeline, including resource allocation, budgeting, and the development and delivery of intellectual property that supports business objectives.
• Build organizational capability by coaching and mentoring talent, and develop annual business plans that support strategic objectives.
• Represent the company in industry forums and professional events, promoting the organization’s brand and efforts.
• Cultivate a culture of innovation, accountability, and engagement, ensuring results that make a measurable impact on the organization’s success.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 10+ years of broad and deep experience in technology innovation, data engineering, analytics platforms, or data architecture, including at least 6 years in a leadership role managing resources and teams.
• 5+ years leading enterprise-scale data platforms, fabric/mesh, or data governance programs.
• Advanced expertise in data ingestion (batch/stream/CDC), orchestration, ELT/ETL, data modeling, and serving patterns; familiarity with event/stream platforms and metadata-driven pipelines.
• Hands-on experience with at least one major cloud (Azure, AWS, or GCP), containerization, infrastructure-as-code, and CI/CD practices applied to data platforms.
• Must be legally authorized to work in the job posting country.

Tech Stack

• AWS
• Azure
• Cloud
• ETL
• Google Cloud Platform

Benefits

• Annual Variable Cash Incentive Program (VCIP) bonus 8%
• 401k company match
• Cash Balance Account pension
• Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
• Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services