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Product Manager (AI/ML Solutions)

  • Full Time, onsite
  • Global Bridge InfoTech Inc.
  • Hybrid2-3 DAYS ONSITE PER WEEK, United States of America
Salary undisclosed

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Product Manager (AI/ML Solutions)

FULLTIME WITH CLIENT

***We need product managers who have worked on AI/ML/Data science projects. We dont need project manager/product owners.***

Job Details:

We are seeking a seasoned Product Manager with a deep understanding of AI/ML solutions. This role is pivotal in ensuring the successful deployment and governance of AI/ML models at scale for our Fortune 500 clients. The ideal candidate will have experience as a data scientist or in leading data science teams, coupled with strong stakeholder management capabilities.

Key Responsibilities:

  • Stakeholder Management: Manage relationships with internal and external C-suite executives, ensuring alignment in deploying AI/ML models at scale.
  • End-to-End Implementation: Oversee the full spectrum of data management, including Data Quality, Model Deployment, Model Governance, and Model Quality.
  • Advisory Role: Serve as a trusted advisor for implementing AI/ML solutions tailored to client needs, specifically Fortune 500 companies.
  • Team Leadership: Mentor and guide junior Data Product Managers to ensure best practices and strategic alignment within the team.
  • Strategic Business Management: Engage confidently with existing clients, ensuring smooth delivery and continuity in business. (This is not a sales role).
  • Communication & Negotiation: Demonstrate exceptional communication skills and the ability to negotiate effectively with senior stakeholders.

Qualifications:

  • Proven background in data science or leading data science teams.
  • Extensive experience in stakeholder management, particularly in deploying AI/ML models.
  • Confidence in engaging with C-suite executives both internally and externally.
  • Strong negotiation skills and the ability to provide advisory input on AI/ML solutions.
  • Experience in overseeing AI/ML model governance and data quality management.
  • Excellent leadership and mentoring skills
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