VP, Chief Data & Analytics Officer
About The Position
The VP, Chief Data & Analytics Officer will lead the design and development of next-generation data platforms and analytical capabilities to enable data-driven insights and decision-making across Deckers Brands. This role is responsible for establishing and maintaining a centralized data ecosystem, delivering decision-ready data, and building machine learning and AI analytics to support business growth. We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.
Requirements
- Bachelor’s degree in Statistics, Software Engineering, Computer Science, Data Science, or related field.
- 15+ years of progressive data engineering/analytics experience and leadership roles.
- Proven ability to lead and scale digital and data technologies in a fast-paced, multi-billion organization.
- Experience modernizing technology, establishing data lakes/meshes, and building scalable data services.
- Deep understanding of data in a global, matrixed organization with international experience.
- Hands-on leader with a global mindset and strong organizational capability-building skills.
- Demonstrated ability to drive business results leveraging data-based insights.
- Experience evangelizing data and analytics capabilities to technical and non-technical leadership.
- Successful track record of building and leading data & analytics functions within retail or similar industries.
- Effective recruiter, manager, coach, and developer of high-performing multidisciplinary teams.
- Strategic visionary with a growth mindset, strong EQ, and inclusive stakeholder management.
- Business acumen, tenacity, and architect of best practice ethos.
- Empathetic, humble, agile, and cultivates a culture of psychological safety, inclusion, and belonging.
- Proficient in Agile methodologies, AI, machine learning, statistical analysis, programming, and data architecture
Responsibilities
- Lead the development and implementation of advanced analytical capabilities using internal and external data sources to drive business growth.
- Establish a data operating model with clear roles, responsibilities, and decision-making rights across the enterprise.
- Execute strategic value projects across business units, including Brands, Digital Marketing, Supply Chain, and FP&A.
- Champion a data-driven culture and drive long-term business value through best-in-class analytics.
- Design and execute data pipelines optimizing performance, accuracy, availability, reliability, and security.
- Establish data governance and partner with teams to create necessary data taxonomy.
- Build and maintain data catalog and services, supporting ML/AI analytics.
- Lead a team responsible for developing, executing, and operating data analytics, business intelligence, and ML/AI technologies.
- Manage priorities across multiple stakeholders and lead large-scale data projects in a matrixed organization.
- Identify opportunities to drive strategic consumer value and develop implementation roadmaps.
- Promote an environment that attracts world-class talent and fosters growth.
Benefits
- Competitive Pay and Bonuses
- Financial Planning and wellbeing
- Time away from work
- Extras, discounts and perks
- Growth and Development
- Health and Wellness
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What This Job Offers
Job Type
Full-time
Career Level
Executive
