Senior Quality Data Support Manager

Responsibilities

• 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.

• 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.