Executive Director Data Products Big Data & Analytics
Listed on 2026-06-26
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IT/Tech
Data Science Manager, Data Analyst, Data Engineering, Business Systems/ Tech Analyst
Overview
Most data leadership roles focus on improving what already exists. This opportunity is about creating what comes next. The role is the executive leader responsible for shaping the future of data across a complex global business. You will own the vision, roadmap, architecture, operating model, and transformation strategy that determine how data is created, governed, shared, trusted, and leveraged across the enterprise.
You will partner directly with executive leadership to drive initiatives that influence AI adoption, advanced analytics, digital products, operational excellence, and long-term business growth. This is a business transformation leadership role enabled by data.
You will help define how data powers AI, analytics, business decisions, and future innovation for years to come. If you have been looking for a role where you can influence enterprise strategy, build something transformational, and leave a lasting impact on a global business, this is an opportunity to engage in confidential conversations.
Responsibilities- Lead enterprise-wide Data & Analytics strategy
- Drive large-scale data modernization initiatives
- Enable AI & advanced analytics across the organization
- Architect cloud-based big data platforms
- Design real-time and streaming data architectures
- Establish data governance and data quality programs
- Oversee enterprise analytics and business intelligence
- Lead global data engineering and analytics efforts
- Executive Director, Data & Analytics
- Vice President of Data & Analytics
- Head of Data Platforms
- Head of Data Engineering
- Head of Data Products
- VP of Enterprise Data Strategy
- VP of Analytics & AI
- Chief Data Officer (or equivalent)
- Experience leading large-scale data transformation initiatives within global or Fortune 500 organizations
- Ability to build executive alignment, influence stakeholders, manage organizational change, and translate technology investments into measurable business value
- Strong foundation in architecture, engineering, or large-scale data platforms with progression into executive leadership and strategy roles
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