Data & AI Product Owner

Stellantis•Auburn Hills, MI

23h

About The Position

The Data & AI Product Owner – Purchasing is accountable for defining, prioritizing, and realizing value from Purchasing data and AI products within an assigned business domain. The role ensures that data products are treated as durable business assets, not one‑off reports or projects, and that delivery efforts are aligned to measurable Purchasing outcomes. Acting as the primary interface between business stakeholders and delivery teams, the Product Owner translates domain needs into a clear product roadmap, balancing value, feasibility, and capacity. The role focuses on what should be built and why, while relying on specialized roles to define how it is built.

Requirements

Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or equivalent; Other technical degrees with business background also considered
10+ years of experience in the automotive industry or IT
Strong English verbal and written communication skills
Ability to manage multiple services or initiatives with varying complexity
Proficiency with Microsoft PowerPoint, Excel, and Word
Ability to work effectively across global teams and organizational levels
Proven ability to lead cross-functional teams and drive purchasing strategies in a fast-paced environment
Strong negotiation, analytical, and problem-solving skills
Highly proactive and visionary, with a track record of driving innovation and continuous improvement
Ability to communicate effectively with international teams and suppliers

Responsibilities

Define and maintain the product vision and roadmap for assigned Purchasing data products
Prioritize the backlog based on business value, risk, and strategic alignment
Ensure clear articulation of value hypotheses and success metrics
Track adoption and realized business benefits of data and AI products
Act as the single point of accountability for data product demand within the assigned domain
Engage Purchasing stakeholders to clarify needs, priorities, and trade‑offs
Manage expectations and sequencing of delivery based on capacity and value
Translate business needs into structured backlog items with clear acceptance criteria
Partner with delivery teams to ensure shared understanding of requirements
Accept delivered features based on business outcomes and quality standards
Partner with Data Manager to ensure governance requirements are addressed early
Align with Ontology & Data Architecture Lead to leverage approved data structures
Collaborate with CX & Design Lead to ensure usability and adoption
Coordinate with Business Process & Automation Lead to align product delivery with process transformation initiatives