Product Owner - Enterprise AI Center of Excellence

AI Product Owner – Enterprise AI Center of Excellence

As an AI Product Owner – Enterprise AI Center of Excellence, you will collaborate with innovative and diverse people worldwide. You will have the opportunity to:

• Define and own the vision, roadmap, and success metrics for assigned AI products and capabilities, ensuring alignment to enterprise strategy and business unit priorities within a hub‑and‑spoke model.
• Translate business needs into actionable AI requirements by owning the end‑to‑end backlog (epics, features, user stories) across data, models, integrations, and user workflows.
• Prioritize and manage the product backlog to maximize business value, balance impact, technical feasibility, risk, reuse, and compliance while enabling iterative delivery.
• Define and track measurable business and model outcomes (e.g., value realization, adoption, accuracy, latency, cost to serve) to ensure solutions deliver intended results.
• Embed Responsible AI and compliance by design by incorporating security, privacy, regulatory, and ethical AI requirements into acceptance criteria and release gating.
• Serve as the primary business‑facing owner by leading stakeholder alignment, managing expectations, accepting delivered increments, and driving adoption and continuous improvement of post‑release.

Your Skills and Expertise

Minimum qualifications:

• Bachelor’s Degree or higher and at least 7 years of job‑related experience, or High School Diploma/GED and at least 11 years of the same job‑related experience.

In addition to the above requirements, we require:

• 5+ years of experience as a Product Owner, Business Analyst, or Product Manager delivering data, analytics, or AI‑enabled solutions in an enterprise environment.
• Demonstrated experience translating business needs into product requirements, including epics, user stories, and acceptance criteria for AI/ML use cases.
• Strong understanding of AI/ML concepts such as model lifecycle, training vs. inference, data dependencies, and performance metrics sufficient to partner effectively with data science and engineering teams.
• Experience prioritizing and managing backlogs using Agile methodologies, with a focus on value realization, iterative delivery, and stakeholder alignment.
• Excellent written, verbal, and presentation communication skills, with the ability to engage and influence both technical and non‑technical stakeholders.

Additional qualifications that could help you succeed even further include:

• Experience supporting AI/ML use case discovery, intake, and feasibility assessment.
• Knowledge of responsible AI principles, data governance, and compliance frameworks.
• Experience in process mapping, gap analysis, and business case development.
• Background in healthcare, medtech, or other regulated industries.

Location

Remote

Travel

May include up to 10% domestic/international.

Legal Requirements

Must be legally authorized to work in the country of employment without sponsorship for employment visa status.

Supporting Your Well‑being

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.

EEO Statement

Solventum es un empleador que ofrece las mismas oportunidades. Solventum no discriminará a ningún solicitante de empleo por razones de raza, color, edad, religión, sexo, orientación sexual, identidad o expresión de género, origen nacional, discapacidad o estado de veterano.

Privacy Statement

Solventum asegura la protección de la información personal a través de su declaración de privacidad. Al proporcionar datos personales, usted consiente su procesamiento de acuerdo con la política de privacidad de Solventum.

Contact Caution

Todos los correos electrónicos que indiquen oportunidades laborales y que provengan de Solventum tendrán el dominio @solventum.com. Evite mensajes de correos no solicitados fuera de este dominio.