Senior Manager, Data Production Operations

T.D. Williamson•Salt Lake City, UT

About The Position

Plans, directs, and coordinates the activities of the Global Data Production Operations Department in accordance with approved policies and quality control procedures. Ensures accurate and timely completion of customer reports. Leads global operations, people, and process improvement while ensuring customer expectations, quality, timeliness, efficiency, and company objectives are met.

Requirements

  • Bachelor’s degree in a technical or operational discipline.
  • Seven to ten years of management or supervisory experience.
  • Valid passport and ability to travel internationally.
  • Excellent verbal and written communication skills.
  • Proficiency with personal computers and Microsoft Word, Access, and Excel at the intermediate level.

Nice To Haves

  • Working knowledge of pipeline engineering challenges and the application of pipeline inspection equipment.
  • High level of expertise using in-line inspection software programs.
  • Thorough understanding of in-line inspection equipment and processes, demonstrated through documented certification.
  • Experience planning and tracking workflow through Data Production.

Responsibilities

  • Lead the Data Production team and Data Production leadership group for the Global Data Production Team.
  • Develop and implement global operational business plans, strategies, and organization design consistent with TDW’s short- and long-term objectives.
  • Evaluate and assign workload globally to ensure metrics and workloads are achieved.
  • Formulate and manage the departmental budget to maximize return on investment.
  • Regularly assess Global Data Production operations for effectiveness, customer satisfaction, compliance with corporate policies, and the need for corrective action.
  • Ensure Data Production certifications remain current and training meets internal and regulatory requirements.
  • Ensure technical proficiency and conduct operations with a focus on quality, timely service, and efficiency.
  • Evaluate monthly Data Production status reports, keep management and staff informed of department activity, and adjust plans as appropriate.
  • Prioritize key customers based on annual run awards and turnaround expectations, develop customer relationships, and manage escalated support needs.
  • Develop and monitor QA/QC KPIs to improve data quality throughout the global organization.
  • Review global production workflows to identify bottlenecks and improve throughput.
  • Collaborate with software development, Data Science teams, and IT to improve inspection software.
  • Identify new developments that can be incorporated into customer service and product offerings.
  • Work with Global Training Support to develop and implement training programs and monitor development.
  • Select, evaluate, develop, and lead employees to maintain a qualified workforce, comply with EEO and Affirmative Action guidelines, and meet company objectives.
  • Set employee objectives; provide constructive feedback; assess performance, training needs, areas for improvement, and growth potential; and ensure development needs are addressed.
  • Develop positive team dynamics to support high performance.
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