Power BI

Microsoft PowerPoint Knowledge Management Microsoft SharePoint Technical Leadership IT Service Management Emerging Technologies Operational Excellence Operational Efficiency Artificial Intelligence Internet Of Things (IoT) Python For Data Analysis Engineering Design Process Snowflake (Data Warehouse) Documentation Based Coding Data-Driven Decision Making Influencing Without Authority Key Performance Indicators (KPIs) Generative Artificial Intelligence Application Performance Management Eight Disciplines Problem Solving (8D) Tableau (Business Intelligence Software) General Data Protection Regulation (GDPR) Information Technology Infrastructure Library Define Measure Analyze Improve And Control (DMAIC), The Technical Application Manager will join the GCS Data Collection Delivery Team, responsible for managing the portfolio of Connected Truck applications. This role ensures operational excellence, integration, and alignment with organizational objectives. The position requires strong technical expertise, ownership, and the ability to manage complex systems across global teams, including outsourced partners. Responsibilities

• Ensure smooth functioning of applications, proactively monitor performance, and address issues promptly.
• Manage connected vehicle applications and telematics platforms, monitor TCU-to-cloud communications, and support Remote Diagnostics and Over-the-Air (OTA) capabilities to ensure reliable vehicle connectivity and data availability.
• Drive the implementation, rollout, and ongoing support of container-based solutions, coordinating with engineering, infrastructure, and business stakeholders while providing technical leadership and operational ownership.
• Develop and maintain Tableau and Power BI dashboards to monitor data quality, application performance, fleet health metrics, and operational KPIs, enabling data-driven decision making and proactive issue resolution.
• Proactively lead resolution of incidents and problems engaging multiple teams and vendors and providing solutions within set time limits.
• Coordinate Connected Truck components, maintaining clear ownership and integration, and maintaining dashboards and reports to monitor component health, performance, and data quality.
• Use analytics to identify issues, propose solutions, and measure improvements based on truck data and identify anomalies or missing information.
• Apply MoSCoW methodology and other frameworks to manage requirements and deliverables effectively.
• Lead structured problem-solving (e.g., Root Cause Analysis, 8D, DMAIC) and mentor team members.
• Facilitate integration of outsourced teams through cultural awareness, structured onboarding, and continuous feedback.
• Maintain transparent and timely communication with internal and external stakeholders.
• Stay updated on emerging technologies and best practices relevant to team and/or department.
• Manage relationships with third-party vendors to ensure service requirements are met.
• Proactively identify technical and operational risks related to applications through data analysis and dashboards.

Visionary Confluent Leadership Automation Innovation ServiceNow Coordinating Data Quality Communication Data Analysis Cyber Security Trend Analysis Microsoft Excel Problem Solving Microsoft Visio Data Collection Microsoft Office Agile Methodology Technical Support Electrical Wiring Transitional Care Influencing Skills Cloud Technologies SAE J1939 Standard Root Cause Analysis, * 5-7 years of technical support experience in an IoT environment.

• Proven experience managing complex technical applications in automotive or connected vehicle domains.
• Strong analytical and problem-solving skills with a structured approach to issue resolution (e.g., Root Cause Analysis, 8D, DMAIC).
• Demonstrated ability to leverage data analytics tools and techniques to identify issues, propose solutions, and measure improvements.
• Solid knowledge of high-frequency data transmission concepts such as Confluent and Apache Kafka.
• Working knowledge of CAN networks, including dbc-files, can-interfaces, wiring harnesses, and hex and binary calculation.
• Understanding of SAE J1939 and FMS standards.
• Expertise in IT Service Management (Change, Incident, Problem, Knowledge Management) as a practice manager, certified in ITIL V3/V4.
• Broad hands-on experience with Agile (SAFe) methodologies.
• Ability to demonstrate information analysis and leverage current digital tools in a safe and controlled manner.
• Understanding of Cybersecurity principles and GDPR core themes to ensure compliance and data protection.
• Proficiency in Microsoft Office tools (Visio, Word, Excel, PowerPoint, SharePoint).
• Expert in ServiceNow, hands-on experience with tools such as Power BI, Tableau, Snowflake, SQL, Python (for data analysis), and Excel advanced functions for trend analysis and reporting.
• Experience in developing and implementing automation, e.g., scripts, PowerApps.
• Excellent communication skills for cross-functional and multicultural teams working in different time zones.
• Self-driven, proactive, and able to influence, mentor, and lead in a matrix organization.
• Experience with generative AI for automating tasks, improving operational efficiency, and enhancing productivity.
• Bachelor’s or Master’s degree in Computer Science.

Additional Skills & Qualifications

• Experience with OTA software, connected vehicles, or applications.
• Hands-on experience with creating dashboards in Tableau, Power BI, etc.
• Understanding of cloud technologies and data analysis over the CAN interface., Innovation ServiceNow Coordinating Data Quality Communication Data Analysis Cyber Security Trend Analysis Microsoft Excel Problem Solving Microsoft Visio Data Collection Microsoft Office Agile Methodology Technical Support Electrical Wiring Transitional Care Influencing Skills Cloud Technologies SAE J1939 Standard Root Cause Analysis Information Privacy Microsoft PowerPoint Knowledge Management Microsoft SharePoint Technical Leadership IT Service Management Emerging Technologies Operational Excellence Operational Efficiency Artificial Intelligence Internet Of Things (IoT) Python For Data Analysis Engineering Design Process Snowflake (Data Warehouse) Documentation Based Coding Data-Driven Decision Making Influencing Without Authority Key Performance Indicators (KPIs) Generative Artificial Intelligence Application Performance Management Eight Disciplines Problem Solving (8D) Tableau (Business Intelligence Software)

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