Vinodhini Pandiselvan
Staff Digital Product Manager | Staying Adventurous | Data & Analytics | Delivering Innovative Digital Solutions for Automotive
- Role
- Staff Digital Product Manager at Rivian and Volkswagen Group Technologies
- Location
- Detroit, MI, US
- LinkedIn followers
- 500 followers
About Vinodhini Pandiselvan
I’m a Staff Product Manager at Rivian VW technologies, leading strategic initiatives in the Data & Analytics space to drive smart manufacturing and digital transformation. I manage factory performance dashboards, orchestrate real-time data ingestion into enterprise data lakes, and drive adoption of AI/ML-driven agents to enhance predictive maintenance, operational efficiency, and shop floor automation.Previously at Ford, I brought together my M.S. in Electrical & Computer Engineering and 6+ years of hands-on experience across embedded systems, software product development, and connected vehicle technologies. I led full product lifecycles—defining product strategy, writing technical specs and epics, and delivering market-ready features for advanced driver-assistance systems (ADAS), vehicle connectivity, and in-vehicle infotainment.My expertise spans:* IoT & Edge Computing* Connected & Autonomous Vehicle * Agile & SAFe Methodologies* Product Roadmapping* Software Development Lifecycle* Human-Machine Interfaces (HMI)* Data Engineering & KPI DashboardsI thrive in cross-functional, global teams, driving collaboration across software, hardware, UX, and manufacturing engineering to deliver scalable, user-centric solutions that meet real-world needs.Passionate about mobility innovation, sustainable tech, and the future of autonomous and electrified vehicles - I’m always looking to push boundaries and build what\'s next.
Experience
Staff Digital Product Manager
Rivian and Volkswagen Group Technologies
Jan 2025 — Present · Palo Alto, CA, US
Define and drive product roadmap for manufacturing data analytics platforms supporting real-time factory performance monitoring* Lead development of scalable data pipelines for ingestion, processing, and storage in enterprise data warehouses (e.g, Databricks, Snowflake)* Collaborate with data engineers and scientists to integrate AI/ML models for predictive maintenance and anomaly detection* Design and manage interactive dashboards and KPIs using BI tools (e.g, Tableau, HEX) for operational insights* Own requirement gathering, writing epics/user stories, acceptance criteria, and managing agile ceremonies with cross-functional teams* Partner with manufacturing, software, and IT teams to ensure seamless integration with MES, ERP, and IoT sensor networks* Monitor system performance and drive continuous improvements in data quality, latency, and reliability* Ensure compliance with data governance, security standards, and industry regulations in data handling and analytics
Education
Anna University Chennai
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
2011 — 2015
Wayne State University
Master's degree, Electrical and Computer Engineering
2015 — 2017
Skills
- Ubuntu
- Simulations
- Strategic Planning
- C
- Programming
- C++ Language
- Machine Learning
- Python
- Event Planning
- Matlab
- Visual Studio
- Plc Programming
- Unity
- Pcb Design
- Microsoft Office
- Sql
- Linux
- C++
- Ibm Doors
- Drive for Results
- Simulink
- Vivado
- Graphical User Interface (Gui)
- Algorithms
- Customer Service
- Microcontrollers
- Testing
- Autocad
- Automation
- Electrical Engineering
- Creativity
- Embedded Systems
- Management
- Ros
- Image Registration
- Foreign Languages
- Mplab
- Project Management
- Aurdino
- Dvp&R
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