Automation & Data Ops Associate

PVH (Tommy Hilfiger/Calvin Klein)

Austin (TX)

On-site

USD 65,000 - 90,000

Full time

14 days+

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Job summary

Roku is seeking a Systems Operations Associate to help deliver scalable improvements to our content delivery platform. You will partner with business stakeholders and engineering teams to optimize workflows, ensure data integrity, and support governance and compliance across core systems.

You’ll participate in planning, translate findings into specifications, and drive automation to reduce risk and improve throughput in a fast-paced environment.

Qualifications

Responsibilities

  • Serve as a partner to business stakeholders and technical teams, understanding their workflows to identify opportunities for improved data accuracy, consolidation, and process efficiency
  • Own the accuracy and integrity of business operations data across core systems, ensuring stakeholders are working from a single, reliable source of truth
  • Support data governance and compliance requirements, including SOX and audit readiness, in partnership with legal, finance, and product teams
  • Complete quarterly gap analyses of as-is and to-be processes, translating findings into functional specifications for product and engineering
  • Collaborate with product and engineering leadership to design and improve in-house systems supporting business operations reporting, data consolidation, and workflow automation
  • Participate in sprint planning to prioritize enhancements and net-new feature requests across owned product roadmaps
  • Identify manual, error-prone, or duplicative workflows and drive automation initiatives that reduce risk and increase operational throughput
  • Support stakeholders in testing and validation of new product features, data models, and workflows
  • Develop and maintain documentation and training materials to

Job description

Roku is seeking a Systems Operations Associate to help deliver scalable improvements to our content delivery platform. You will partner with business stakeholders and engineering teams to optimize workflows, ensure data integrity, and support governance and compliance across core systems.

You’ll participate in planning, translate findings into specifications, and drive automation to reduce risk and improve throughput in a fast-paced environment.

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