Group Summary :

Magna is more than one of the worlds largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

What You Will Do :

We are seeking a Technical Product Manager to lead the definition, delivery, and scaling of analytical products powered by machine learning and emerging GenAI capabilities. This role will translate business needs into product roadmaps, prioritized backlogs, and production-ready solutions, working closely with data scientists, engineers, architects, business stakeholders, and governance teams.

Major Responsibilities :

- Define and own product vision, strategy, roadmap, and release priorities for analytical, machine learning, and selected GenAI products.

- Partner with business stakeholders and end users to identify high-value problems, validate needs, and translate them into product requirements, epics, user stories, and acceptance criteria.

- Lead the end-to-end product lifecycle from discovery and business case development through MVP, pilot, production rollout, adoption, and value realization.

- Work with data science and engineering teams to shape ML-driven and GenAI-enabled solutions, including appropriate RAG-based use cases, with focus on usability, technical feasibility, and responsible deployment.

- Own the product backlog and delivery cadence; facilitate Agile ceremonies including sprint planning, backlog refinement, reviews, retrospectives, and release planning.

- Lead and coordinate a cross-functional product squad of approximately 4 - 5 team members, aligning dependencies across architecture, engineering, data, security, and business teams.

- Define product success metrics and monitor adoption, product performance, and business impact such as productivity, quality, cost, or cycle-time improvement.

- Communicate roadmap, progress, dependencies, risks, and realized outcomes to senior leaders and cross-functional stakeholders.

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business/Technology Management, or a related field.

- 3 - 5 years of experience in technical product management or product ownership, with demonstrated experience developing analytical or data products, particularly machine learning-enabled solutions.

- Experience delivering AI/ML products across discovery, development, launch, adoption, and continuous improvement stages.

- Experience with GenAI products or use cases is preferred, including familiarity with LLM-enabled applications, RAG, and MCP concepts.

- Agile, Scrum, Product Owner, or Product Management certification is preferred.

Skills :

- Product Management : Ability to create product strategies and roadmaps, manage priorities, develop business cases, write clear requirements and user stories.

- Analytical and ML Products : Sound understanding of the machine learning product lifecycle, data needs, model performance considerations, and deployment dependencies.

- GenAI Concepts : Working understanding of LLM-enabled applications, embeddings, vector search, prompt considerations, and RAG.

- Cloud Platforms : Working knowledge of AWS and Azure platforms.

- Agile Delivery : Hands-on experience with Agile methodologies, Scrum or Kanban practices.

- Tools : Experience with Jira, Azure DevOps, Power BI, Confluence, or equivalent platforms.

Working Conditions :

- No Travel.

AI-Assisted Screening Disclosure :

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Final decisions are always made by the hiring manager and the hiring team.