Lead Data & AI Platform Product Manager

Vrijwilligers Service Punt

United States

Hybrid

USD 84,000 - 142,000

Full time

2 days ago
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Job summary

VSP Vision is seeking a results-driven Senior Product Manager to build data, analytics, and AI enabled products across business units. You will define the product vision, create roadmaps, and lead cross-functional teams to deliver trusted, scalable solutions that drive measurable enterprise outcomes.

You will mentor junior PMs, manage governance and data quality considerations, and partner with business lines to maximize adoption and value.

Qualifications

  • Define product vision and strategy for data, analytics, and AI products.
  • Lead cross-functional teams to deliver product initiatives.
  • Create PRDs and strategy documents for data products and governance.
  • Promote enterprise adoption and measurable business value.
  • Communicate plans to management and stakeholders.

Responsibilities

  • Lead creation and delivery of data platforms and analytics products.
  • Define roadmaps and communicate plans internally and externally.
  • Mentor associate product managers and teams on data practices.
  • Evaluate product performance, adoption, and value against outcomes.
  • Balance trade-offs across speed, governance, cost, and complexity.
  • Collaborate with business and tech stakeholders to improve decisions.

Skills

Data analytics
AI-enabled products
Strategic vision
Cross-functional leadership
Agile product management
Communication skills
Influence & negotiation
Data governance
Problem solving
Mentoring

Education

Bachelor's degree in CS/DS/Statistics/Marketing/Business/Engineering
MBA (desirable)

Job description

VSP Vision is seeking a results-driven Senior Product Manager to build data, analytics, and AI enabled products across business units. You will define the product vision, create roadmaps, and lead cross-functional teams to deliver trusted, scalable solutions that drive measurable enterprise outcomes.

You will mentor junior PMs, manage governance and data quality considerations, and partner with business lines to maximize adoption and value.

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