Data Processing Manager - KinaTrax

7 Minutes ago • 5 Years +
Project Management

Job Description

The Data Processing Manager is a strategic and operational leader responsible for overseeing the execution, performance, and continuous improvement of KinaTrax’s Data Processing team. This role owns team structure, delivery accountability, and stakeholder communication, while driving scale through efficiency, automation, and cross-functional alignment. The Manager plays a critical role in building a high-performing team culture that meets the demanding data delivery needs of professional sports organizations.
Good To Have:
  • Background in sports tech, biomechanics, or motion capture
  • Familiarity with tooling or automation for data QA or visualization
  • Experience with remote team management and asynchronous communication
  • Understanding of cloud storage, version control, or scripting (e.g., JSON/XML)
Must Have:
  • Manage a growing team of Data Processing Assistants, Coordinators, Supervisors, and Leads
  • Set team expectations, performance goals, and professional development plans
  • Support hiring, onboarding, and long-term team capacity planning
  • Foster a collaborative, inclusive, and high-accountability culture
  • Define and evolve operational processes to ensure consistent, high-quality data delivery
  • Monitor throughput, turnaround time, and accuracy to track team performance
  • Partner with Development, TechOps, and Field Service teams to plan and implement tooling or process changes
  • Lead implementation of new workflows, tools, or rollouts across the data processing team
  • Own operational performance reporting for internal stakeholders and leadership
  • Act as the escalation point for complex data delivery issues or client-impacting problems
  • Communicate with client success and field teams to align expectations and delivery standards
  • Evaluate data delivery trends and root causes of failure to guide improvements
  • Identify opportunities to automate workflows and reduce manual effort
  • Ensure knowledge documentation is up to date and aligned across shifts
  • Implement QA and audit checkpoints to ensure long-term quality and reliability
Perks:
  • A collaborative and energetic environment that values curiosity, communication, and problem-solving
  • Opportunities to work with cutting-edge sports technology used by top-tier clients
  • The chance to make your mark on internal tools, processes, and product support systems
  • A team that genuinely supports each other and loves what they do

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About the Role

The Data Processing Manager is a strategic and operational leader responsible for overseeing the execution, performance, and continuous improvement of KinaTrax’s Data Processing team. This role owns team structure, delivery accountability, and stakeholder communication, while driving scale through efficiency, automation, and cross-functional alignment. The Manager plays a critical role in building a high-performing team culture that meets the demanding data delivery needs of professional sports organizations.

Key Responsibilities

Team Leadership & Development

  • Manage a growing team of Data Processing Assistants, Coordinators, Supervisors, and Leads
  • Set team expectations, performance goals, and professional development plans
  • Support hiring, onboarding, and long-term team capacity planning
  • Foster a collaborative, inclusive, and high-accountability culture

Operational Strategy & Oversight

  • Define and evolve operational processes to ensure consistent, high-quality data delivery
  • Monitor throughput, turnaround time, and accuracy to track team performance
  • Partner with Development, TechOps, and Field Service teams to plan and implement tooling or process changes
  • Lead implementation of new workflows, tools, or rollouts across the data processing team

Stakeholder Communication & Reporting

  • Own operational performance reporting for internal stakeholders and leadership
  • Act as the escalation point for complex data delivery issues or client-impacting problems
  • Communicate with client success and field teams to align expectations and delivery standards

Continuous Improvement & Innovation

  • Evaluate data delivery trends and root causes of failure to guide improvements
  • Identify opportunities to automate workflows and reduce manual effort
  • Ensure knowledge documentation is up to date and aligned across shifts
  • Implement QA and audit checkpoints to ensure long-term quality and reliability

We’d Love to See:

  • 5+ years of experience in operations, technical delivery, or team leadership roles
  • Experience managing or leading technical teams in a high-throughput or client-facing environment
  • Strong understanding of data workflows, QA, or motion capture processes
  • Analytical mindset with the ability to interpret KPIs and drive decisions based on metrics
  • Experience working cross-functionally with product, development, or support teams
  • Proven ability to balance strategic planning with hands-on team management

Nice-to-Haves:

  • Background in sports tech, biomechanics, or motion capture
  • Familiarity with tooling or automation for data QA or visualization
  • Experience with remote team management and asynchronous communication
  • Understanding of cloud storage, version control, or scripting (e.g., JSON/XML)

Why You’ll Love Working Here

  • A collaborative and energetic environment that values curiosity, communication, and problem-solving
  • Opportunities to work with cutting-edge sports technology used by top-tier clients
  • The chance to make your mark on internal tools, processes, and product support systems
  • A team that genuinely supports each other and loves what they do

About Us

We’re a sports technology company focused on high-fidelity data collection and analysis to help elite sports teams make game time decisions. We work closely with clients in real-time environments to ensure reliable, efficient delivery of technical solutions. Innovation, collaboration, and operational excellence are at the core of everything we do.

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