Sr Director, Data Engineering

General Nutrition Centers•Pittsburgh, PA

52d•Hybrid

About The Position

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.

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field; advanced degree preferred or related field or equivalent combination of experience.
7+ years or progressive IT management experience with 5+ years in leadership roles.
10+ years of experience in development, data engineering, integration or other associated data related disciplines required.
Experience in data management, governance, integration and data engineering roles.
Proven track record in data platform modernization, specifically technologies like Azure Data Factory (ADF), Google (Data Fusion and Dataflow), Boomi, Snowflake, Databricks, or equivalent.
Hands on experience with cloud platforms (specifically Azure and/or GCP).
Experience leading process improvement and technology efforts.
Exceptional analytical and problem-solving skills.
Deep understanding of how to implement data governance and data integration.
Expertise in metadata management, data quality, and semantic layer integration.
Strong oversight, decision-making, and communication skills.
Experience with MDM tools and data modeling software.
Experience acting as a evangelists and steward for the capabilities of data within the organization.
Strong group facilitation and team building skills.
Excellent written skills required for preparation of process documentation, deliverables, proposals, and statements of work.
Excellent verbal, interpersonal and presentation skills.

Responsibilities

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 improvement and assesses benefits/costs/impacts for potential solutions.
Develops a strong working relationship with other managers within IT and with business partners.
Promotes cooperation between the business, development, and the data teams.
Additional duties as assigned.