Senior Director - Data Engineering

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Job Overview

The Senior Director - Data Engineering at JCPenney will be responsible for leading the data engineering team to develop and execute innovative data solutions that align with the company's strategic goals. This role involves overseeing the design and implementation of data architecture, ensuring effective data management practices, and driving the use of advanced analytics to foster data-driven decision-making across the organization. The Senior Director will collaborate closely with cross-functional teams to enhance data accessibility, enable real-time analytics, and improve operational efficiencies while maintaining a focus on data integrity and security.

Job Responsibilities

• Lead and mentor a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Design and implement scalable data pipelines and architectures to support complex data transformations and analytics needs.
• Oversee data governance frameworks and data quality processes to ensure the accuracy and reliability of data.
• Work closely with stakeholders to understand data requirements and translate business needs into technical solutions.
• Drive the integration of machine learning and advanced analytics into data engineering practices.
• Manage budgets, resources, and timelines effectively to deliver data projects on schedule.
• Stay updated with industry trends and advancements in data engineering and analytics.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field; Master’s degree preferred.
• 10+ years of experience in data engineering, with a minimum of 5 years in a leadership role.
• Strong knowledge of data modeling, data architecture, and ETL processes.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions and big data technologies (e.g., Hadoop, Spark, AWS, Azure).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and interpersonal skills to engage with technical and non-technical stakeholders.

Technologies & Tools

The Senior Director - Data Engineering will utilize a range of advanced technologies and tools in this position. Key tools include data processing frameworks like Apache Spark and Hadoop, cloud platforms such as AWS and Azure for data storage and analytics, as well as databases like SQL Server, MongoDB, and NoSQL technologies. Additionally, data visualization tools such as Tableau or Power BI may be employed to convey insights derived from complex datasets.

Ideal Candidates

Ideal candidates for the Senior Director - Data Engineering position at JCPenney will possess strong analytical skills combined with a strategic mindset. They should demonstrate exceptional leadership capabilities, along with a passion for mentoring and developing their teams. A successful candidate will also have a proven track record of driving successful data initiatives within large organizations, showcasing a commitment to innovation and excellence in data practices. Moreover, a proactive approach to problem-solving and a strong ability to communicate complex concepts to diverse audiences are essential qualities for this role.