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Manager - Advanced Analytics

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Penske Transportation Solutions
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    AI Engineer, IT Project Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps.
  • Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments.
  • Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI).
  • Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity.
  • Ensure applications and environments are available and supported as per agreed SLAs.
  • Enforce best practices and compliance with AI Governance principles.
  • Follow IT practices in security, licensing, source code management, incident management, and architectural standards.
  • Delegate and assign tasks to onshore and offshore technical resources.
  • Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members.
  • Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs.
  • Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions.
  • Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management.
  • Identify skill gaps within teams and develop plans to bridge them.
  • Foster collaboration among associates and within work groups.
  • Use dashboards and metrics to prioritize work and ensure project milestones are met.
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