Product Owner (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Owner (AI): Defining the vision, roadmap, and success metrics for AI products within a healthcare enterprise with an accent on translating business needs into actionable AI requirements. Focus on managing the end-to-end backlog, ensuring Responsible AI compliance, and driving adoption of AI/ML solutions.
Location: Remote, must be based in Mexico and legally authorized to work there
Company
is a healthcare company pioneering innovations at the intersection of health, material, and data science to improve patient lives.
What you will do
- Define and own the vision, roadmap, and success metrics for assigned AI products and capabilities.
- Translate business needs into actionable AI requirements, owning the backlog of epics, features, and user stories.
- Prioritize the product backlog to maximize business value while balancing technical feasibility, risk, and compliance.
- Define and track measurable outcomes, including value realization, model accuracy, latency, and cost to serve.
- Embed Responsible AI and compliance by design, incorporating security, privacy, and ethical requirements.
- Serve as the primary business-facing owner to align stakeholders and drive post-release adoption.
Requirements
- 7+ years of job-related experience (or 11+ years with a High School Diploma/GED).
- 5+ years of experience as a Product Owner, Business Analyst, or Product Manager delivering AI/ML or analytics solutions in an enterprise environment.
- Demonstrated experience translating business needs into technical requirements for AI/ML use cases.
- Strong understanding of AI/ML concepts, including model lifecycle, training vs. inference, and performance metrics.
- Experience managing backlogs using Agile methodologies with a focus on iterative delivery.
- Must be legally authorized to work in Mexico without sponsorship.
Nice to have
- Experience supporting AI/ML use case discovery, intake, and feasibility assessments.
- 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.
Culture & Benefits
- Work at the intersection of health, material, and data science.
- Collaborative environment working with diverse global teams.
- Focus on empathy and compassion in developing healthcare solutions.
- Competitive pay and benefits regularly benchmarked against industry peers.
- Remote work flexibility.
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