Global Director of Data Operations

Full-timeOn-site
Santa Claravia Maxinsights CareersPosted Sep 30, 2026
Match with my CV

Technical skills

PythonData engineeringQuality Assurance

Methods

Project managementOperations

Role signals

FinanceLegal

About this role

Job Description:

As the Global Director of Data Operations, you will own the entire data operations lifecycle across multiple regions. You will build and lead scalable processes for high-quality, multimodal robotics data collection, annotation, and delivery. Your leadership will ensure our global clients receive training-ready datasets that power the next generation of intelligent robots.

Key Responsibilities

  • Strategy & Leadership: Develop and execute the global data operations strategy, aligning with company goals and client needs in the robotics/AI ecosystem.
  • End-to-End Process Ownership: Oversee the entire data pipeline: planning collection campaigns, managing annotation workflows, implementing quality control systems, and ensuring timely dataset delivery.
  • Team & Vendor Management: Build and lead a hybrid team of internal specialists and external vendors. Set performance metrics, conduct reviews, and foster a culture of quality and efficiency.
  • Quality & Scale: Design and implement systems to scale operations while maintaining stringent data quality standards for model training. Establish key performance indicators (KPIs) for throughput, accuracy, and cost.
  • Cross-functional Collaboration: Act as the primary operations liaison for US-based clients, engineering, and product teams. Communicate requirements, report on progress, and drive process improvements based on feedback.
  • Budget & Compliance: Manage the regional operations budget. Ensure all data collection and handling practices comply with relevant regional regulations and ethical guidelines.

Qualifications

  • Experience: 10+ years in operations, program management, or data management, with at least 5 years in a leadership role. Direct experience in robotics, AI data, autonomous vehicles, or a related technical field is required.
  • Proven Track Record: Success in building, scaling, and optimizing complex operational processes in a fast-paced environment.
  • Leadership: Strong leadership and team management skills, with an ownership mindset to drive projects and targets.
  • Technical Acumen: Ability to understand technical requirements for robotics data (sensors, modalities, formats). Experience with data QA tools, basic scripting (Python), or project management software is a strong plus.
  • Communication: Excellent verbal and written communication skills, with the ability to manage stakeholders at all levels.
  • Strong Plus
  • -
  • MBA or advanced degree.
  • Experience managing distributed or remote teams.
  • Network within the US robotics and AI research community.

What We Offer

  • Competitive salary, equity, and comprehensive benefits.
  • Opportunity to define the data operations standard for an emerging industry.
  • Work with world-leading experts and companies in robotics.
  • Default

Benefits

  • Health insurance
  • Vision care
  • Dental coverage

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401(k)

  • Paid holidays

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PTO (Paid Time Off)

  • Sick leave

Before you apply

  • 1Which parts of your CV prove experience with Python, Data engineering, and Quality Assurance?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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