Mission:- Own the definition, deployment, and performance of digital tools supporting Quality processes across the organization.
- Ensure a single source of truth for Quality data, enabling reliable KPIs, audits documents, investigations, and decision-making.
- Drive digital transformation within Quality, aligning IT and digital capabilities (new features, continuous improvement...) with business and regulatory needs. Be proactive to accept and identify new opportunities for efficiency
- Support performance improvement, including reduction of non-quality and warranty costs through effective digital solutions.
- Manage the reliability and evolution of Quality digital tools.
Job Description:Lead the integration and enhancement of digital tools to improve Quality data management and user experience, driving digital transformation and AI implementation to support internal problem-solving teams in resolving customer issues faster and more efficiently on a global scale. Oversee the selection, development, and global deployment of new digital tools, and mentor engineers while collaborating closely with cross-functional teams.
Key Responsibilities:Lead the integration of legacy digital tools that affect quality data sources and enhance existing applications using cutting-edge tools, including artificial intelligence, to improve the user experience for internal problem-solving employees. This will enable them to identify and resolve customer issues faster and more efficiently while standardizing methods and tools globally.
Lead the selection, development, and deployment of new digital tools that are required to satisfy business requirements. This can range from updating current databases to building entirely new ones from scratch.
Uncover both the apparent and underlying costs embedded in existing workflows and implement new tools and solutions that drive company value while reducing time and expenses. Track and quantify the value delivered by each initiative, with a focus on maximizing cost savings and operational efficiency.
Implement production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms to imitate and support the problem-solving team by completing repetitive data seeking tasks and send meaningful notifications with actionable insights to increase the speed at which the team reacts to problems.
Take ownership of critical services, influence technical direction, and mentor engineers while partnering closely with ICT, Engineering, and leadership teams
Identifies data definition, structure, long-range requirements, documentation of database(s), operational guidelines and protection
Assist in establishing database standards and guidelines
Work with ICT to migrate server data and set up data algorithms to normalize and ingest information
Create executive-ready storytelling: clear visuals, concise narratives, and recommendations based on evidence
Generate a book of ideas based on hands-on knowledge of Quality workstreams. Prioritize the ideas based on immediate need and value generation and work to implement successful Proof of Concepts. Collect feedback and present to extended teams before decision is made to expand projects within regions and worldwide.
Deliver results that meet corporate targets, for example: Reduction of warranty cost, project lead-time, and kPPM.
Basic Qualifications:- Bachelor of Science in Computer Science, Information Technology, Data Science, Software Engineering, or a related field
- 10+ years of professional experience leading and delivering customer-centric database development & deployment
- Proven experience in a leadership or lead-analyst role, mentoring junior team members or managing complex analytical projects
- Proficiency in SQL for complex data querying, manipulation, and analysis of large datasets
- Programming skills in a statistical or data science language, such as Python or R
- Proficiency with Business Intelligence and data visualization tools (e.g. Tableau, Power BI, Qlik Sense) to create insightful reports and dashboards
- Exceptional ability to interpret complex technical and financial data, distill key findings, and propose practical solutions
- Excellent verbal and written communication skills with the ability to clearly articulate complex technical analysis to both technical and non-technical audiences, including executive leadership
- Demonstrated ability to lead projects, drive change across cross-functional teams, and influence key stakeholders without direct reporting authority
- Rigorous attention to detail to ensure the accuracy and integrity of all data and analytical reports
- Ability to translate ambiguous business questions into structured analyses and measurable metrics
- Able to multi-task with strict timelines
- A team player with great communication and coordination in a team environment
Preferred Qualifications:- Master of Science in Database Management or Information Systems or B.Sc. in Artificial Intelligence or specific focus or concentration with AI
- 5+ years working in the automotive field with focus on Quality or warranty systems
- Familiarity with warranty management systems (e.g. Global Warranty Management) and enterprise data environments (e.g. data lakes, cloud platforms like AWS, Azure, or GCP)
- Experience with machine learning frameworks and modeling for predictive maintenance or failure prediction
- Prior experience working directly with automotive dealer management systems (DMS) data
- Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration tools
- Familiarity with data relationships and user interfaces using high-level programming languages such as Visual Basic.net, C++, C#, Java, and Python
