Sr Director, Data Engineering

About GNC

Since 1935, GNC has been a global leader in health and wellness innovation, inspiring people to achieve their goals with a trusted and dynamic range of products. As #TeamGNC, we prioritize our consumers, constantly collaborating and developing new ideas to deliver cutting-edge solutions. Our team is passionate about driving change and turning aspirations into actions. We believe that good health is the greatest gift, and there's nothing more rewarding than helping others achieve it. Join us in empowering others to Live Well!

What We’re Looking For:

At GNC we embrace a “Live Well” philosophy, fostering a dynamic environment where innovation meets passion.  Whether someone is an athlete or just starting to focus on their health, we want to deliver the cutting-edge products they deserve. We are looking for an individual who is excited and eager to play a pivotal role in driving excellence in the health and wellness industry. This position offers the opportunity to engage in a collaborative environment where you will make a personal impact every day. 

GNC is seeking an experienced and strategic Senior Director of Data Engineering to lead our enterprise data engineering function and drive the design, development, and optimization of our data infrastructure. This leader will play a critical role in shaping our data ecosystem, ensuring that our platforms, pipelines, and governance frameworks enable actionable insights and data-driven decision making across the business.

The ideal candidate is a hands-on technical leader who brings deep expertise in modern data architectures (cloud, streaming, and warehouse), experience leading high-performing teams, and a passion for scaling data capabilities that support analytics, AI, and digital transformation initiatives.

What You’ll Do:

This is a Full-Time Salary Position

The Sr. Director, Data Engineering provides vision, strategy, leadership, planning and management for the organization’s data architecture. The position will have deep technical expertise with the latest technologies and strong organization management skills along with a proven track record of leading organizations for the data transformation journey. The position will oversee the organization's overall data strategy, ensuring seamless data integration, robust business intelligence solutions, and enterprise data warehousing. This role involves leading a team of internal data engineers and architects as well as external partners while additionally collaborating with cross-functional stakeholders to enable a resilient, reliable data-informed decision-making process.

• Lead and evangelize a global Master Data Management transformation effort to select, implement, and deliver critical system to data dictionary, governance, and integration.
• Experience in modern data management platforms like Azure Data Factory (ADF), Google (Data Fusion and Dataflow), Boomi, Snowflake, Databricks, or equivalent.
• Structure, mentor, and manage a high-performing data solutions and engineering team and establish an effective data organization structure.
• Develops and implements an organizational-wide data strategy.
• Provide necessary guidance to ensure successful execution and maintenance of production processes that include data integration, data warehouse, analytics, and other data tools and infrastructure
• Direct the design, development, and maintenance of the enterprise data infrastructure including data warehouse, data lake, governance, and integration.
• Leads evaluation, selection and implementation of tools to satisfy IT and business requirements.
• Lead the creation and optimization of ETL processes for efficient data extraction, transformation, and loading.
• Lead data modeling efforts to support analytics, reporting, and AI/ML readiness
• Ensure seamless data integration across systems and applications.
• Lead modernization efforts from legacy systems to modern platforms
• Establishes and fosters the Data Governance process.
• Define and enforce data governance policies, standards, and procedures.
• Foster a culture of continuous improvement, accountability, and collaboration.
• Maintain relevant skills and understanding with the capabilities of emerging technologies and data trends, evaluating their applicability to the organization
• Ensures the highest quality products are delivered to end users through flawless execution on initiatives.
• Develops and implements methods and appropriate automation allowing the organization to scale.
• Collaborate with functional area and technical stakeholders to understand data needs, translating those needs into actionable data solutions
• Identifies areas for improvemen