Senior Product Manager(Mobility Data Platform)

The role

This person will plan a Data and Context Platform used by multiple products. They will determine platform functions and priorities while validating usability through actual use cases.

What you will do

• Identify data usage purposes, common requirements, and technical constraints of various product organizations.
• Establish the Mobility Data Platform's product vision, scope, roadmap, and performance metrics.
• Determine priorities based on user value, reusability, technical feasibility, and impact.
• Define common data and functions to be provided to multiple products.
• Structure alternatives and trade-offs to lead product decision-making.
• Plan platform functions and workflows for writing, inspecting, searching, and managing Data Definitions.
• Convert user journeys and service scenarios into data, facts, inferred states, context, and action requirements.
• Define common Data Definition, Naming, Data Model, Schema, and Interface Requirements with engineering organizations.
• Select representative vehicle software and product use cases to validate platform value.
• Reflect discovered data gaps and technical constraints into product requirements and roadmaps.

Required qualifications

• 7 or more years of experience in Product Management, Platform Product Management, Data Product Management, or equivalent in the IT/Tech field.
• Experience planning and leading the application of platforms, data products, internal tools, or reusable technical functions used by multiple products or engineering organizations.
• Understanding of Data Model, Schema, Metadata, Interface, and Data Flow to discuss specifications and design documents with engineering organizations.
• Ability to analyze data meaning and structure from different domains and systems and specify them into common Data Definition and Product Requirements.
• Experience organizing ambiguous or conflicting requirements into alternatives and decision items to lead consensus among product, engineering, and domain organizations.
• Ability to convert services and product use cases into necessary data and context requirements.
• Understanding of Data and AI System structures and constraints to discuss requirements and trade-offs with engineering organizations.

Nice to have

• Experience planning or developing products that combine hardware and software such as Automotive Software, Robotics, IoT, or Connected Devices.
• Experience planning or managing end-to-end data flows where data generated from devices is used across multiple products and services via platforms and clouds.
• Experience designing or operating common Data Definition, Semantic Model, or Data Governance standards used by multiple organizations.
• Experience planning personalized, recommendation, or AI Agent-based products using data and context, or defining context and execution methods for agents.
• Experience understanding generative AI and AI Agent operation and limits, and designing agent-based workflows to automate repetitive tasks or improve product prototypes.

Before you apply

• A 3-month probation period may apply.
• Reference checks may be conducted with the applicant's consent after the interview process.
• Do not include prohibited information such as resident registration number, family relations, marital status, salary, photo, or physical conditions in the application.

About the company

42dot creates a Data Foundation that connects various data generated from Vehicles, Connected Devices, and Cloud with consistent meanings for use by Vehicle Software, Cloud Data Platforms, and various products.