Director of Data & Analytical Products

Celsius•Boca Raton, FL

7d•Onsite

About The Position

If you’re reading this on your way from 5am spin class to festival fast-pass, you’re CELSIUS® — an everyday hustler with the essential energy to aim high, live fit, and go the extra mile wherever your goals take you. Joyful by design, sunny by nature, and unapologetically bold. If your bestie has you saved in their phone as “Icon,” you’re Alani Nu — confident, colorful, and bringing main-character energy to every moment. SoCal in your soul, attitude in your stride. If gravity doesn’t stop you and “impossible” sounds more like “dare you,” you’re Rockstar® — a born rebel, raising the bar with mind-body energy and zero compromise. --- Together, we’re Celsius Holdings, Inc. — a global CPG company united by three powerhouse brands and one incredibly talented team. At Celsius, we pride ourselves on empowering our people. Every employee has stake in our success. We create a collaborative culture built on inclusivity, innovation, and a belief that great ideas can come from anywhere. And we’re on our way to building something bigger: a category where energy isn’t just consumed, it’s lived —where performance meets personality, brand becomes community, and every can crack sparks a statement. This is the future of modern energy. This is Celsius. Ready to take your career to the next level? Join our team and redefine what it means to be energized. Position Overview The Director of Data & Analytical Products will serve as the leader responsible for establishing, evolving and enforcing the overall data strategy, governance, architecture, engineering, and analytics across the organization’s IT landscape. This role will drive data innovation, ensuring that data becomes a true asset in enabling digital transformation, enhancing customer experience, improving operational efficiency, and supporting decision-making at all levels. To be successful, the role will need to unify governance, analytics and data engineering under a product mindset, driving outcomes, adoption and measurable impact across the various business functions. In-Office: Based full-time at CELSIUS® Headquarters in Boca Raton, FL Travel Requirements: This position may require travel up to 25% as business needs dictate. People Management Responsibilities: Role will evolve over time as business needs dictate. The role will start as an individual contributor but will have the ability to hire staff as required to deliver expected outcomes. Role Type: Full Time

Requirements

8-10+ years of experience in data-related roles, including 5+ years in leadership position.
Strong preference for a candidate who has established a data management team.
Bachelor's or Master’s Degree in Computer Science, Information Systems, Data Science, or a related field.
Strong communication skills, both verbal and written.

Nice To Haves

Strong preference for a candidate who has established a data management team.

Responsibilities

Develop and execute the enterprise-wide data strategy in alignment with business and IT objectives.
Lead and inspire cross-functional data teams including data engineering, data science, data governance, and analytics.
Championing a data-driven culture and advocating for data as a strategic business enabler.
Lead a data management and governance software selection process.
Establish and oversee data governance frameworks, including policies for data quality, privacy, access, and lifecycle management.
Ensure compliance with data regulations (e.g., GDPR, CCPA) and industry standards.
Define and manage enterprise data architecture, including cloud data platforms, data lakes, data warehouses, and streaming architecture.
Drive modernization initiatives.
Oversee the design and maintenance of scalable data pipelines and integration services across multiple systems (ERP, CRM, cloud, etc.).
Implement best practices for data ingestion, transformation, and storage.
Partner with business leaders to define KPIs and leverage data to generate actionable insights.
Lead enterprise business intelligence to develop predictive models, dashboards, and self-service analytics capabilities where necessary.
Explore and integrate AI/ML, and other emerging technologies into the organization’s data strategy.
Stay current with industry trends and introduce solutions where appropriate.