Senior Quality Data Support Manager

Michelin•Greenville, SC

2d•Onsite

About The Position

The Sr. Quality Data Support Manager serves as a transformation leader for the Quality and Technical organizations, partnering directly with department heads to drive innovation and elevate performance. Each day is about turning ideas into action—leading multi-functional projects, building data-driven solutions, and implementing tools that simplify how teams work and make decisions. It’s a fast-paced, high-visibility role where you influence leaders, connect teams, and deliver real, measurable impact across the business. If you enjoy solving problems, leading change, and seeing your work make a difference, this role puts you right at the center of it; come join our team! This position is based at our headquarters is in Greenville, SC, conveniently located within driving distance to east coast beaches, the Blue Ridge Mountains and large cities like Atlanta and Charlotte. The mild climate, charming downtown, and impressive culinary scene are just a few of the perks of living here. Our 1,400 corporate employees take pride in thinking globally to help our US and Canadian workforce while acting locally to uplift and enhance our local communities. We are driven to be the employer of choice for people looking for a career with respect and purpose.

Requirements

Bachelor’s Degree in Computer Science, Data Analytics, or min of 3 yrs equivalent experience.
A minimum of two years’ practical exposure to data lakes, data governance, data system structures, Databricks, Power platforms, building AI agents; and ability to set up flows.
Two or more years of hands-on programming experience with SQL or Python, and DAX or equivalent experience.
Analytical mind and business insight with a problem-solving approach.
Practical experience in leading and managing projects.
Strong organizational and communication/networking skills.
Initiative and drive for results.

Nice To Haves

Direct tire product knowledge, including tire retread process and/or design is a plus.
Knowledge of AI tools is highly regarded.

Responsibilities

Develop and refine statistical models to forecast trends and identify quality risk points.
Perform complex analyses to solve problems and guide strategic actions.
Deliver insights through compelling storytelling and actionable recommendations.
Identify, collect, clean, and prepare relevant data to meet complex or multi-functional needs.
Supervise data pipelines, gathering, architecture, and accessibility.
Ensure operational service guarantees.
Manage trending audit results and follow-up actions for operational guarantees.
Track and communicate process, method, and product changes.
Ensure compliance with data governance standards, including security, integrity, and confidentiality.
Act as liaison with analysts and assistance in quality data capture and surveillance.
Support or lead market action coordination with Product Manager.
Serve as a member of the Product Performance Leadership Team.
Train and mentor junior analysts and assist field employees in developing data analysis skills.
Share standard methodologies internally and externally.
Identify and implement new methods and technologies to enhance data analysis capabilities.
Create scripts and tools to automate repetitive tasks and optimize response times.
Design dashboards and reports using Power BI and Databricks for critical metric visibility.
Develop coding in DAX, SQL, and Python.

Benefits

Personalized development plans
mentorship
cross-functional opportunities
Unique career paths and opportunities for advancement
Inclusive Culture
Diverse, supportive environment where competencies, contributions and behaviors are recognized
Option to join one of our Connected Communities
Innovation-Driven projects
Community Impact
Sustainable business practices
balancing the needs of customers and communities