Sr Director, Data Engineering at GNC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

0.0

Posted On

01 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, Data Governance, Cloud Platforms, ETL Processes, Data Integration, Data Warehousing, Data Modeling, Analytics, AI, Machine Learning, Team Leadership, Process Improvement, Problem Solving, Communication, Collaboration

Industry

Retail

Description

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 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. Environmental Factors & Working Schedule: * Hybrid work environment, 4 days in-person attendance (Pittsburgh, PA) in addition to ability to work remotely. * Regularly required to stand; walk; sit; use hands or fingers to handle or feel; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear * Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. * Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. * Specific vision abilities required by this job include long periods of computer screen usage, close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus * The noise level in the work environment is usually low/moderate *To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. QUALIFICATIONS: * 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

The Sr. Director, Data Engineering will lead the enterprise data engineering function, overseeing the design, development, and optimization of the data infrastructure. This role involves managing a team of data engineers and architects while collaborating with cross-functional stakeholders to enable data-driven decision-making.