Product Lifecycle Optimization Data Project Lead

Role Summary:

The Data Capabilities Project Manager will be a key project leader driving Data and IT capabilities development that are required by the PLO team to optimize product lifecyle. With deep expertise in data science and IT systems, this specialist will design, deliver and lead the development of tools and architectures needed by PLO to make the right decisions, as well as maintain and upgrade existing capabilities. With a strong focus on speed of execution, he/she will automate analytical activities, link existing data across the company and introduce AI capabilities where applicable. The role will also lead and/or sponsor IT projects for PLO with deep expertise/influence, anticipating issues and mitigating them with the relevant project manager.

Key responsibilities will include project management, proactive identification of needs and solutions, data analytics, IT architectures and applications development, working with cross-functional teams, managing resources by influence, thought leadership to drive PLO related IT/Data capabilities development. The associate will be responsible for all analytical capabilities used or needed by PLO, from design to implementation to maintenance. He/she will also explore the use of advanced technologies and techniques (AI, modeling) in the context of platforming and benchmarking.

The associate will work globally with PLO, Data Science teams, Data Architects and other relevant functions, in all regions. He/she will also lead external work with IT contractors where applicable.

Role & responsibilities:

• IT and Data Analytics: with a strong focus on speed of execution, develop required architectures, tools and applications, based on Benchmarking, Platform Analytics teams and Program Manager's needs. Present to leadership developed capabilities and created value, gather feedback and implement improvements.
• Maintain, with the help of relevant functions and resources, existing applications. Fix identified bugs and identify, define and implement required upgrades, following an agile development approach.
• Explore how to use AI to automate benchmarking analytics, optimize future platforms definition. Lead the integration of these tools to our standard operating process where relevant.
• Ensure continuous alignment and communication with Data Science and IT teams, to leverage internal knowledge and re-use existing data. Keep identifying new sources of truth usable to automate analytics and PLO scenarios quantification.

Preferred candidate profile

• 7 or more years of IT and/or data science
• Experience in applications development (C++, python, R, .Net)
• Experience in database development and querying (SQL, AWS, data pipelining, big data)
• Experience with marketing, R&D, manufacturing and finance datasets
• Ideally, experience in a global role, interfacing with multiple stakeholders in different time zones
• Exhibits a very high degree of professional proficiency in an appropriate discipline
• Good understanding of tire designs and manufacturing process

High level of curiosity for new, unexplored paths, including AI and agility in approach