Senior Quality Data Support Manager

Michelin

Senior Quality Data Support Manager at Michelin shaping data-driven strategies and leading data projects. Collaborating on quality systems and advanced analytics to enhance product performance and customer satisfaction.

Posted 7/7/2026full-timeGreenville • South Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, analytics, and visualization, with a strong focus on delivering actionable insights and driving strategic initiatives. Proficient in leading projects, collaborating with cross-functional teams, and ensuring compliance with data governance standards.

Highest-signal resume keywords

Data Management & ArchitecturePower BI Dashboard DesignSQL ProgrammingPython ProgrammingData Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingDAX ProgrammingAutomation ScriptingForecasting TechniquesData Pipeline SupervisionQuality Systems ManagementProcess ImprovementAI Tools KnowledgeData Lakes Experience

Soft Skills

Problem-SolvingOrganizational SkillsCommunication SkillsLeadershipInitiative

Tools & Technologies

Power BIDatabricksPower PlatformsData Governance StandardsQuality Data Capture Tools

Industry Keywords

Data-Driven StrategiesProduct PerformanceCustomer SatisfactionTire Retread ProcessMarket Action Coordination

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

From leading multi-functional projects to building modern, data-driven tools, this job is all about creating momentum.
One part of the day may involve designing a Power BI dashboard or automating a key process; another may involve aligning leaders across functions, breaking down silos, and driving initiatives that improve efficiency, visibility, and overall performance.
Our team doesn’t just support the business—it helps shape it.
By influencing leaders, introducing new ways of working, and delivering solutions that create real results, this person becomes a key driver of change across the organization.
This role offers the opportunity to shape data-driven strategies that directly impact product performance and customer satisfaction.
You will work in a collaborative environment with innovative tools and technologies, while influencing key decisions at a leadership level and leading key quality projects.
Advanced analytics & forecasting 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.
Data Management & Architecture 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.
Quality Systems & Governance 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.
Collaboration & Leadership 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.
Continuous Improvement Share standard methodologies internally and externally.
Identify and implement new methods and technologies to enhance data analysis capabilities.
Automation & Visualization 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.
Basic Programming Develop coding in DAX, SQL, and Python.

Requirements

What you’ll need

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

Benefits

Comp & perks

Career Growth : Personalized development plans, mentorship, and cross-functional opportunities.
Unique career paths and opportunities for advancement.
Inclusive Culture : Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized.
Option to join one of our Connected Communities.
Innovation-Driven : Work on projects that matter—from sustainable materials to digital transformation.
Community Impact : Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.