Equipment Content & Data Supervisor

Duties/Responsibilities:

• Provide overall leadership and direction for SIGMA's Listing and Template/Data functions, establishing priorities, performance expectations, quality standards, and departmental objectives.
• Provide direct leadership, coaching, and development to the Listing Lead and employees within this team.
• Partner with the Listing Lead to ensure effective execution of day-to-day listing/template activities while maintaining accountability for overall quality, productivity, turnaround time, and departmental performance.
• Oversee the development, maintenance, and continued expansion of SIGMA's equipment template database, manufacturer/model library, OEM documentation, technical specifications, and related equipment-data resources.
• Establish and continuously improve workflows and quality-control processes across listing, template development, and equipment-data activities.
• Develop and monitor key performance indicators for listing and template/data operations, including productivity, accuracy, turnaround time, template utilization/development, backlog, and efficiency improvements.
• Identify opportunities to improve efficiency and scalability through technology, automation, standardized processes, and improved data sourcing.
• Collaborate with the Listing Lead to identify training, development, staffing, and resource needs within the Listing function.
• Partner cross-functionally with departments to identify project needs and expected timelines.
• Provide leadership with regular updates regarding departmental performance, strategic initiatives, resource needs, challenges, and opportunities for improvement.
• Lead departmental planning and recommend changes to structure, staffing, processes, systems, and technology necessary to support organizational growth.

Knowledge, Skills and Abilities:

• Strong organizational, analytical, communication and problem-solving skills
• Proven capacity to manage competing departmental priorities and systematically organize workloads.
• Independent problem-solver capable of steering complex, technical data landscapes.
• Advanced expertise in automated data extraction methods, audit frameworks, and data management tools.
• Broad understanding of equipment, manufacturing, or related technical domains.
• Lead-by-example leadership philosophy.

Education and Experience:

• Bachelor’s degree in Business, Data Management, Information Systems, or a related field.
• 7+ years of experience in product data management or technical content operations, with a focus on data quality and strategic technical contribution.