Lead Analytics and Integration Engineer

Key Responsibilities of the Role:

Analytics Business Intelligence

• Design, develop and maintain scalable analytics solutions using very large and complex datasets.
• Analyse millions of Vehicle Identification Numbers (VINs), warranty claims, dealer repair records, recall campaign information and customer data to identify trends, compliance risks and business opportunities.
• Develop and maintain interactive dashboards using Qlik Sense that provide visibility of recall completion, dealer performance, campaign effectiveness and regulatory compliance.
• Develop executive dashboards, operational reports and performance metrics that support strategic and operational decision-making.
• Translate complex analytical findings into clear, practical recommendations that improve customer safety, dealer performance and operational effectiveness.
• Perform root cause analysis to identify barriers to recall completion and recommend corrective actions.
• Identify emerging trends, risks and opportunities using advanced analytics and predictive techniques where appropriate.

Data Engineering, Integration Automation

• Design, develop and maintain automated Extract, Transform and Load (ETL) and Extract, Load and Transform (ELT)data pipelines integrating multiple enterprise systems.
• Design, implement and support reliable data integrations between Ford enterprise systems and Dealer Management Systems (DMS)to ensure dealers receive timely, accurate and complete recall, safety and emissions campaign information.
• Develop and maintain secure Application Programming Interface (API)integrations and other enterprise data interfaces.
• Monitor data quality, investigate anomalies and implement controls that improve data integrity, reliability and reporting accuracy.
• Develop automated reporting and analytical workflows that improve efficiency, reduce manual effort and support timely business decisions.
• Continuously improve the performance, scalability and resilience of analytics, reporting and integration platforms.

Artificial Intelligence, Innovation Continuous Improvement

• Identify and implement opportunities to responsibly leverage Artificial Intelligence (AI), automation and advanced analytics to improve business processes and operational efficiency.
• Develop AI-assisted workflows that accelerate analytics, reporting, technical documentation and dealer communications while ensuring appropriate governance, validation and human oversight.
• Improve the efficiency, quality and consistency of dealer bulletins, recall publications and customer communications through responsible use of AI-enabled tools.
• Evaluate emerging technologies and recommend practical solutions that improve recall performance, regulatory compliance and customer outcomes.
• Champion a culture of continuous improvement by identifying opportunities to simplify processes, improve data quality, reduce manual effort and enhance business decision-making. Qualifications

• Bachelors degree in Computer Science, Data Analytics, Engineering, Mathematics, Statistics or a related discipline.
• Minimum five years experience in analytics engineering, business intelligence, systems integration, data engineering or advanced analytics.