PMT Engineer - Analytics and Automation

BorgWarnerAuburn Hills, MI
$100,800 - $141,750

About The Position

In this position, you will be responsible for ideating, developing and deploying automation framework, tools and processes. You will develop KPI dashboards in Power BI or similar tools. You will drive adaption of AI enabled tools and workflows. You will lead solution discovery initiatives that leverage latest automations and AI models. Support the analysis, design, development, and improvement of AI-driven and automated business processes, including identifying opportunities and evaluating innovative technologies Contribute to implementing business use cases and prototypes with Microsoft platform - Copilot, Power Automate, and Power Apps, including data preparation, quality checks, documentation, and basic analysis Multi-Tool Data Integration Expertise: Ability to connect, extract, transform, and consolidate data from Jira, Polarion, SharePoint/ShareDocs, Bitbucket, and other engineering tools into a common analytics model. Design and maintain executive, BU-level, project-level, and engineering KPI dashboards with drill-down capability, automated refresh, and self-service reporting Assist with research on Data Science, AI, and Process Automation, and support testing, validation, and optimization of AI models, workflows, and automation solutions Collaborate in cross-functional projects, manage assigned tasks independently, and support internal communication and knowledge sharing on analytics, AI, and automation initiatives Support user adoption and change management through demos, trainings, and guidance, ensuring all solutions meet governance, security, and compliance requirements

Requirements

  • Strong Python, REST API, SQL, Power Query, and JQL capabilities to automate data collection and transformation
  • Bachelor's Degree in Computer Science (or equivalent) required
  • 4-6 years of development experience
  • Strong enthusiasm for AI, AI Agents, Automation, and Digital Transformation, supported by initial academic or hands-on experience
  • Basic understanding of LLMs, generative AI, prompt engineering, and AI-assisted workflows
  • Experience with Microsoft Copilot, Power Platform (Power Automate, Power Apps), cloud-based AI services, or RPA/automation tools
  • Strong problem-solving abilities, service- and solution-oriented thinking, and the ability to work independently and in a structured manner after onboarding
  • Strong oral and written communication skills; effectively communicates with peers, supervisors and customers

Nice To Haves

  • Master's Degree preferred

Responsibilities

  • Ideating, developing and deploying automation framework, tools and processes
  • Developing KPI dashboards in Power BI or similar tools
  • Driving adaption of AI enabled tools and workflows
  • Leading solution discovery initiatives that leverage latest automations and AI models
  • Supporting the analysis, design, development, and improvement of AI-driven and automated business processes, including identifying opportunities and evaluating innovative technologies
  • Contributing to implementing business use cases and prototypes with Microsoft platform - Copilot, Power Automate, and Power Apps, including data preparation, quality checks, documentation, and basic analysis
  • Connecting, extracting, transforming, and consolidating data from Jira, Polarion, SharePoint/ShareDocs, Bitbucket, and other engineering tools into a common analytics model
  • Designing and maintaining executive, BU-level, project-level, and engineering KPI dashboards with drill-down capability, automated refresh, and self-service reporting
  • Assisting with research on Data Science, AI, and Process Automation, and supporting testing, validation, and optimization of AI models, workflows, and automation solutions
  • Collaborating in cross-functional projects, managing assigned tasks independently, and supporting internal communication and knowledge sharing on analytics, AI, and automation initiatives
  • Supporting user adoption and change management through demos, trainings, and guidance, ensuring all solutions meet governance, security, and compliance requirements
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