VESC PVT Product Engineer

In this role… 

This role focuses on the development and maintenance of comprehensive Verification & Validation (V&V) Key Performance Indicator (KPI) dashboards. These dashboards are designed to be intuitive, providing critical insights into V&V readiness and quality trends for both the internal V&V team and CVS executive management. The position involves close collaboration with the CVS data management team to establish and maintain robust data connections, ensuring seamless integration with other relevant organizational dashboards. All dashboard creation and deployment must adhere to Ford's compliant toolchain.

• Tailored to V&V Goals Dashboards are customized to align with the specific strategic objectives and informational needs of executive management. This ensures that the data presented is directly relevant to their decision-making processes.
• Simplicity and High-Level Overview Recognizing that executives have limited time, the dashboards prioritize simplicity by presenting only essential information and avoiding an overcrowded display. They provide a quick "temperature check" of V&V performance rather than overwhelming detail.
• Organized for Insight Information is structured to naturally draw the executive's attention to the most important and actionable insights. This often means placing the most critical metrics and KPIs at the top, following natural reading patterns.
• Clear Visual Design Intuitive dashboards utilize clear and easy-to-understand charts, graphs, and other visualizations. Consistent color schemes enhance readability and highlight critical insights without distraction. Accessibility is also considered in color choices.
• Focus on Key Performance Indicators (KPIs) The dashboards center around V&V readiness and quality trends, which serve as crucial KPIs. These indicators are presented in a simplified, easily digestible format, allowing executives to quickly grasp the health and performance of V&V activities.
• Actionable Insights and Storytelling Beyond just presenting data, the dashboards are designed to provide actionable insights. They aim to tell a compelling story, guiding decision-making by highlighting opportunities, identifying risks, and indicating areas that require immediate attention or adjustment.
• Real-time Data and Interactivity Dashboards are powered by real-time data to ensure executives have access to the most current information, enabling timely and informed decisions. Interactive elements, such as drill-down capabilities, allow executives to explore specific details if needed, transforming static data into a dynamic tool.
• Proactive Information The dashboards are designed to be proactive, helping executives understand not just past performance but also current trajectory, allowing them to anticipate future needs and make timely adjustments or pivots to their strategies.

What you'll do…

1. Data Collection and Integration: Gather data from various sources, ensuring its accuracy and completeness. Integrate data from disparate systems to create a unified data source for analysis.
2. Data Cleaning and Preparation: Clean and preprocess data to ensure it's suitable for analysis. This involves handling missing values, removing duplicates, and transforming data into a usable format.
3. Data Analysis: Use statistical methods and data analysis tools to interpret data and extract actionable insights. This involves identifying trends, patterns, and correlations that can inform business decisions.  Create scripts to connect data from V&V tool chains (e.g Jira, Jama, Testrail, dSpace, NI, ECUTest, Github, and etc). 
4. Dashboard Development: Design and create interactive dashboards using tools like Tableau, Power BI, or similar platforms. These dashboards should provide clear, intuitive visualizations of data that stakeholders can easily understand.
5. Performance Monitoring: Develop key performance indicators (KPIs) and metrics to monitor business performance. Ensure that dashboards are updated in real-time or at appropriate intervals to reflect the latest data.
6. Collaboration with Stakeholders: Work closely with business stakeholders to understand their data needs and ensure that dashboards and reports meet those requirements. This involves regular communication and feedback loops to refine analytics solutions.
7. Reporting: Generate regular and ad-hoc reports to provide insights into various aspects of business performance. Tailor reports to meet the needs of different departments and management levels.
8. Data Governan