Analytics Program Lead: Cross-Functional Delivery

Stellantis NV; Auburn (AL); On-site; USD 85,000 - 110,000; Full time

Job summary

Stellantis NV is seeking an Analytics Project Manager to lead planning, execution, and delivery of analytics initiatives across our business. You will partner with stakeholders, data engineering, data science, analytics, brand, sales, finance, marketing, and vendor teams to translate needs into clear plans, timelines, and success measures.

The ideal candidate excels at managing multiple analytics projects in a fast-paced environment, balancing priorities with dependencies, and driving

Qualifications

• Bachelor's degree in Business Administration, Data Analytics or a related field.
• Minimum of 5 years of experience in project and/or program management; preferably in analytics, or technology.
• Excellent organization and time management skills.

Responsibilities

• Define project scope, objectives, deliverables, and timing.
• Develop and execute detailed end-to-end project plans.
• Ensure that projects are completed on time and within scope and budget.
• Ensure project delivery adheres to required standards.
• Coordinate activities across multiple stakeholders, teams, and departments.
• Proactively assess potential roadblocks, mitigate risks, and resolve obstacles.
• Track progress and overall performance of project deliverables.
• Own establishment of program timelines, on-time delivery of milestones, and ongoing reporting of the program status.
• Proactively identify when issues arise, timing is off track, or deliverables are at risk; develop a clear action plan to prevent delays.
• Actively manage the interdependencies of each deliverable and their impact on overall program delivery and timing.

Skills

Communication skills

Project management

Cross-functional collaboration

Executive presentation skills

Education

Bachelor's degree in Business Administration

Job description

Stellantis NV is seeking an Analytics Project Manager to lead planning, execution, and delivery of analytics initiatives across our business. You will partner with stakeholders, data engineering, data science, analytics, brand, sales, finance, marketing, and vendor teams to translate needs into clear plans, timelines, and success measures.

The ideal candidate excels at managing multiple analytics projects in a fast-paced environment, balancing priorities with dependencies, and driving