Program Manager

Aquent (United States)

Campbell (CA)

Presencial

USD 90.000 - 120.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Aquent is seeking an analytically driven operations analyst in the San Francisco Bay Area to optimize validation processes for autonomous testing programs. You will leverage data, AI tools, and efficient workflows to ensure robust resource supply and mileage fulfillment across testing depots.

You will generate leadership-ready summaries, coordinate across multiple testing teams, and help sites prepare for testing activities. This role emphasizes on-site collaboration and travel as needed.

Formación

  • Must be based in the San Francisco Bay Area.
  • Associate’s or Bachelor’s degree in Business Analytics, Operations Management, Data Science, or a related field (or equivalent practical experience).
  • 2+ years of experience in operations support, data analysis, operational coordination, or technical operations.
  • Strong analytical background with a proven ability to manipulate, analyze, and interpret operational data to inform decision-making.
  • Demonstrated experience building formulas, pivot tables, and reporting templates.
  • Proficiency in leveraging AI tools (e.g., LLMs, AI assistants) to draft documentation, analyze data, automate repetitive tasks, or optimize workflows.
  • Willingness and ability to travel (15-30% expected travel) and comfort working directly on-site from operational vehicle depots as needed.
  • Advanced proficiency with Google Workspace applications, including Google Sheets, Docs, Slides, and Calendar.

Responsabilidades

  • Analyze daily operational data, track fleet and resource fulfillment metrics, and identify trends or bottlenecks.
  • Generate clear and concise performance summaries for operational leadership with actionable insights.
  • Utilize AI tools to accelerate reporting, synthesize findings, and streamline communications.
  • Identify and implement workflow efficiencies through AI-assisted optimization, automating repetitive tasks.
  • Provide hands-on operational coordination across testing teams and depots.
  • Facilitate smooth handovers and ensure sites are prepared for testing activities.
  • Collaborate with site operations leads and cross-functional teams to optimize resource use and meet targets.

Conocimientos

Data analysis
Operations coordination
AI tools
Google Workspace
Reporting templates
AV testing familiarity

Educación

Bachelor’s degree in Business Analytics, Operations Management, Data Science, or related field

Herramientas

SQL
BigQuery

Descripción del empleo

Aquent, a leading talent solutions partner, is excited to support a pioneering autonomous driving technology company dedicated to making transportation safe and accessible for everyone. This innovative organization is at the forefront of developing self-driving technology that will revolutionize how people and goods move. As a key contributor, you will play a critical role in ensuring the continuous safety and reliability of this groundbreaking technology, directly impacting the future of mobility.

About the Role: Driving Operational Excellence and Innovation

We are seeking a highly analytical and proactive individual to join a dynamic team focused on optimizing validation operations. This pivotal role is not just about coordination; it's about leveraging data and cutting-edge AI tools to drive efficiency, streamline workflows, and ensure rigorous testing targets are met. You will be instrumental in enhancing the robustness of resource supply and mileage fulfillment for critical testing programs, directly contributing to the safety and reliability of advanced self-driving systems. If you thrive in a fast-paced environment where your analytical skills and innovative approach can make a tangible difference, this is an exceptional opportunity to shape the future of autonomous technology.

Key Responsibilities:
  • Analyze daily operational data, track fleet and resource fulfillment metrics, and identify trends or operational bottlenecks to inform strategic decision-making.
  • Generate clear and concise performance summaries for operational leadership, providing actionable insights.
  • Utilize modern AI tools, including Large Language Models (LLMs) and AI assistants, to accelerate operational reporting, synthesize complex findings, and streamline internal communications.
  • Identify and implement workflow efficiencies through AI-assisted optimization, automating repetitive tasks where possible.
  • Provide hands-on operational coordination across various testing teams and operational depots.
  • Facilitate smooth operational handovers and ensure sites are fully prepared for testing activities.
  • Collaborate closely with site operations leads, supervisors, and cross-functional teams to ensure the efficient utilization of validation resources and the achievement of testing targets.
Required Qualifications:
  • Must be based in the San Francisco Bay Area
  • Associate’s or Bachelor’s degree in Business Analytics, Operations Management, Data Science, Logistics, Engineering, or a related field (or equivalent practical experience).
  • 2+ years of experience in operations support, data analysis, operational coordination, or technical operations.
  • Strong analytical background with a proven ability to manipulate, analyze, and interpret operational data to inform decision-making.
  • Demonstrated experience building formulas, pivot tables, and reporting templates.
  • Proficiency in leveraging AI tools (e.g., LLMs, AI assistants) to draft documentation, analyze data, automate repetitive tasks, or optimize workflows.
  • Willingness and ability to travel (15-30% expected travel) and comfort working directly on-site from operational vehicle depots as needed.
  • Advanced proficiency with Google Workspace applications, including Google Sheets, Docs, Slides, and Calendar.
Preferred Qualifications:
  • Familiarity with SQL.
  • Experience working within autonomous vehicle (AV), robotics, automotive, or high-tech testing environments.
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