Hiring.Camp

VP, Chief Data & Analytics Officer

Deckers Brands

·

2 days ago

Salary
$267k – $361k
Location
Goleta, California, United States of America
Workplace
Hybrid
Type
Full-time
Department
Administration
Seniority
VP
Closing date
Today
Source
Workday

Description

 At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us. 

Job Title: VP, Chief Data & Analytics Officer
Reports to:  Chief Digital & Data Officer
Location: Goleta, CA - Hybrid

Typically 3 times per week in office, Tuesday – Thursday

The Role

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.

Your Impact

  • 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.

Who You Are

  • 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

What We'll Give You –

  • Competitive Pay and Bonuses - We’ve created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they’re valued.

  • Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.

  • Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees’ needs to get out, get healthy and come back stronger than ever.

  • Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras

  • Growth and Development - Deckers Brands was built on the idea of pursuing passion. That’s why we offer extensive opportunities and support for personal and professional development.

  • Health and Wellness - There’s nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.

 

$267,200.00 - $360,700.00

 

The salary range posted reflects the estimated minimum and maximum target for new hire salaries for this role in:

Goleta, California

 

Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process.

Equal Employment Opportunity
Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.

Skills

Machine LearningData ScienceData EngineeringAgile

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