Associate Technical Architect

Technical Application Manager\- Data Collection

Role Overview

The Technical Application Manager will become a member of the GCS Data Collection Delivery Team and oversee the portfolio of Connected Truck applications within this team, ensuring operational excellence, integration, and alignment with organizational objectives. This role requires strong technical expertise, ownership, and the ability to manage complex systems across global teams, including outsourced partners.

Key Responsibilities

Application Operations \& Monitoring: Ensure smooth functioning of applications, proactively monitor performance, and address issues promptly.

Incident \& Problem Management: Proactively lead resolution of incidents and problems engaging multiple teams and vendors and providing solutions within set time limits.

Component Insight: Maintain dashboards and reports for data quality tracking.

Data\-Driven Decision Making: Use analytics to identify issues, propose solutions, and measure improvements based on truck data and identify anomalies or missing information.

Assess the impact of incomplete data on customers.

Prioritization \& Planning: Apply to MoSCoW methodology and other frameworks to manage requirements and deliverables effectively.

Problem Resolution \& Mentorship: Lead structured problem\-solving (e.g., Root Cause Analysis, 8D, DMAIC) and mentor team members.

Cross\-Cultural Collaboration: Facilitate integration of outsourced teams through cultural awareness, structured onboarding, and continuous feedback.

Stakeholder Communication: Maintain transparent and timely communication with internal and external stakeholders.

Continuous Improvement: Stay updated on emerging technologies and best practices relevant to team and/or department. Instances where the candidate introduced automation or innovative solutions to improve operations activity

Vendor Management: Manage relationships with third\-party vendors to ensure service requirements are met.

Risk Assessment: Proactively identify technical and operational risks related to applications through data analysis and dashboard

Technical Experience

• 7 years of technical support experience in an IoT environment.

• Proven automotive knowledge and basic understanding of functional vehicle behavior

• Fundamental understanding of data streaming

• Solid knowledge of high\-frequency data transmission concepts such as Confluent, Apache Kafka

• Working knowledge of CAN networks, e.g. dbc\-files, can\-interfaces, wiring harnesses, hex and binary calculation)

• Understanding of SAE J1939 and FMS standards

• Analytical \& Problem\-Solving: Strong analytical and problem\-solving skills with a structured approach to issue resolution (e.g., Root Cause Analysis, 8D, DMAIC).

• Data\-Driven Decision Making: Demonstrated ability to leverage data analytics tools and techniques to identify issues, propose solutions, and measure improvements.

• Strong data analysis skills (SQL, Python, Power BI, Snowflake, Tableau).

• Deep knowledge of truck sensor data, telematics, and fleet management systems.

• Ability to interpret and correlate data issues with real\-world truck operations.

• Expertise in IT Service Management

• Broad hands\-on experience with Agile (SAFe) methodologies.

• Digital \& Security Awareness: 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.

• Tools: Proficiency in Microsoft Office tools (Visio, Word, Excel, PowerPoint) and operational tools such as ServiceNow.

• Excellent communication skills for cross\-functional and multicultural teams working in different timezones.

• Ownership: Self\-driven, proactive, and able to influence, mentor, and lead in a matrix organization.

Diagnostics

Data Streaming \& IoT Architecture, CAN Bus \& Vehicle Protocols, Data Analysis \& Querying, Incident \& Problem Management, \&