Manager, Data Driven Quality
About The Position
Lead execution of the data-driven, AI-enabled Quality roadmap by translating defined Quality objectives into team priorities, work plans, and scalable digital solutions that improve transparency, cost efficiency, and decision-making across Quality domains. Drive the creation of lean Quality processes through automation and AI-supported solutions, minimizing manual effort, accelerating response times, and delivering measurable value through scalable AI use-cases, aligned with overhead and long-term cost-optimization targets. Partner with Quality, IT, data governance, and cybersecurity stakeholders to evaluate, recommend, and implement digital tools and platform solutions that support Quality priorities and align with enterprise standards. Manage the development, integration, and continuous improvement of Quality KPI dashboards and reporting frameworks across production, supplier quality, and field monitoring to support proactive risk identification and performance visibility. Develop and maintain automated reporting, escalation workflows, and team processes that provide timely insights and support data-informed decisions by Quality leadership. Build and lead a high-performing Quality AI Center of Excellence, managing Data Engineers & Scientists to design, develop and scale digital solutions, while ensuring cross-alignment and prioritization of Quality use cases with internal and external stakeholders at Scout (e.g. Production, IT), VW Group (Group IT), and Business Units in Quality. Establish an IT-based, cross-functional problem-resolution process — including root cause analysis (RCA), escalation management, and effectiveness tracking of corrective actions. Reduce operational complexity and ensure a lean, consistent approach to issue resolution. Ensure rigorous documentation of quality issues, decisions, and lessons learned, integrating findings into future product and process improvements to solidify Scout’s credibility and readiness through launch and ramp-up.
Requirements
- 7+ years of experience in automotive quality, manufacturing, or engineering, ideally within an OEM environment.
- 3+ years of demonstrated leadership experience with the ability to lead teams and influence cross-functional stakeholders internationally.
- Bachelor’s degree in Industrial Engineering, Quality Management or a related field.
- Proven track record in data-driven quality management, KPI system design, and digital transformation initiatives.
- Certification in Six Sigma (Black Belt preferred) and strong knowledge of quality management systems.
- Strong understanding of production processes, supplier quality, and structured problem-solving methodologies.
- Hands-on experience with data analytics and visualization tools (e.g., Power BI) and automation platforms (e.g., Power Platform).
- Excellent analytical skills with the ability to translate complex data into actionable insights.
- Strong communication and presentation skills, including interaction with senior leadership and executive stakeholders.
Nice To Haves
- Experience with AI / advanced analytics applications in quality or manufacturing environments is strongly preferred.
- International experience in relation with VW Group and German lingual capabilities are a plus.
Responsibilities
- Lead execution of the data-driven, AI-enabled Quality roadmap by translating defined Quality objectives into team priorities, work plans, and scalable digital solutions that improve transparency, cost efficiency, and decision-making across Quality domains.
- Drive the creation of lean Quality processes through automation and AI-supported solutions, minimizing manual effort, accelerating response times, and delivering measurable value through scalable AI use-cases, aligned with overhead and long-term cost-optimization targets.
- Partner with Quality, IT, data governance, and cybersecurity stakeholders to evaluate, recommend, and implement digital tools and platform solutions that support Quality priorities and align with enterprise standards.
- Manage the development, integration, and continuous improvement of Quality KPI dashboards and reporting frameworks across production, supplier quality, and field monitoring to support proactive risk identification and performance visibility.
- Develop and maintain automated reporting, escalation workflows, and team processes that provide timely insights and support data-informed decisions by Quality leadership.
- Build and lead a high-performing Quality AI Center of Excellence, managing Data Engineers & Scientists to design, develop and scale digital solutions, while ensuring cross-alignment and prioritization of Quality use cases with internal and external stakeholders at Scout (e.g. Production, IT), VW Group (Group IT), and Business Units in Quality.
- Establish an IT-based, cross-functional problem-resolution process — including root cause analysis (RCA), escalation management, and effectiveness tracking of corrective actions.
- Reduce operational complexity and ensure a lean, consistent approach to issue resolution.
- Ensure rigorous documentation of quality issues, decisions, and lessons learned, integrating findings into future product and process improvements to solidify Scout’s credibility and readiness through launch and ramp-up.
Benefits
- Competitive insurance including: Medical, dental, vision and income protection plans
- 401(k) program with: An employer match and immediate vesting
- Generous Paid Time Off including: 20 days planned PTO, as accrued
- 40 hours of unplanned PTO and 14 company or floating holidays, annually
- Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
- Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
- Corporate Vehicle Program with: Eligibility for 1 assigned vehicle
- A mobility stipend
- Pay Transparency
- Annual performance bonus program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
