Product Owner II at World Education Services leading Salesforce enhancements and operations. Focused on driving improvements, Agile execution, and stakeholder collaboration.
About the role
- AI/ML Product Manager leading AI/ML product strategy and roadmap at Vanguard. Collaborating with diverse teams to deliver impactful solutions for clients.
Responsibilities
- Lead product management for multiple AI/ML products, or one highly strategic product, with cross-divisional impact
- Define and own the end-to-end product lifecycle, from strategy and planning through delivery, adoption, and continuous improvement
- Partner closely with engineering, data science, design, risk, legal, and business stakeholders to design, build, and improve AI/ML technical solutions
- Translate market research, user insights, and client feedback into clear product vision, features, and requirements
- Guide planning, development, and implementation of new AI/ML products, including defining target markets and implementation approaches
- Use qualitative and quantitative analysis to assess performance, improve user experience, and inform future product direction
- Coach and support technical product teams on product management best practices and shared learnings
- Ensure clear, consistent communication, including product messaging, documentation, and customer or stakeholder outreach
- Contribute to business planning, prioritization, and investment decisions to ensure alignment with organizational strategy
- Participate in modern engineering practices, including development, continuous integration, and automated deployment
- Support special projects and other responsibilities aligned with the role, as needed
Requirements
- At least 8 years of experience in AI/ML product management or closely related roles
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related technical field; a master’s degree is a plus
- Experience across the AI/ML product lifecycle, including user-centered design, market analysis, stakeholder engagement, and implementation planning
- Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud Platform), machine learning frameworks (for example, TensorFlow or PyTorch), and analytics tools
- Strong critical thinking, problem-solving, and time-management skills
- Comfort collaborating in cross-functional, agile teams and synthesizing complex data into actionable insights.
- Certifications are valued but not required; examples include Certified Scrum Product Owner (CSPO), AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, or Pragmatic Product Management
Benefits
- Health insurance
- Professional development opportunities
- Flexible working model
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