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Senior Product Manager - Enterprise Platform Administration

Posted 14 days agoViewed

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💎 Seniority level: Senior, 7+ years

📍 Location: United States

🏢 Company: TetraScience👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceuticalBiotechnologyData ManagementInternet of ThingsLife ScienceData IntegrationSoftware

⏳ Experience: 7+ years

🪄 Skills: AWSSQLCloud ComputingProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsRESTful APIsComplianceData visualizationStrategic thinkingData modelingData analyticsData managementSaaS

Requirements:
  • 7+ years of technical product management experience
  • Strong technical background in cloud computing, identity and access management, ML / AI model management, and enterprise SaaS platforms
  • Proficient in data governance design for including functional metadata management, schema, model management.
Responsibilities:
  • Own the Enterprise Platform Administration area product strategy and roadmap, prioritizing data governance, compliance, and operational intelligence areas.
  • Define and optimize access management, authentication, and audit capabilities in alignment with regulatory requirements.
  • Build relationships with Scientific Technology (IT) customers; understand customer’s processes and objectives; and introduce new ways of doing things better and more productive and solicit feedback
  • Research other industry comparables, and market trends to propose roadmap trade-offs between parity and innovation
  • Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis.
  • Define and measure KPIs to track adoption, performance, and user behavior of platform administration and search capabilities.
  • Develop and validate new concept prototypes.
  • Lead product requirements definition and ensure timely delivery of valuable experiences.
  • Manage area roadmap and work with stakeholders to prioritize initiatives and overall goals with your team
  • Decompose complex use cases and technical requirements into smaller manageable stories by creating and prioritizing a backlog with your engineering team.
  • Assess roadmap / backlog trade-offs, make recommendations informed by stakeholder and technical constraints, and deliver innovation with this in mind.
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