Product Manager –VC(NCS/Job/ 1528)

Key Responsibilities

• Product Strategy & Roadmap
  • Define, own, and evolve the product roadmap for data and AI-driven products, aligned with company goals and customer needs.
  • Prioritize features and initiatives based on business impact, technical feasibility, and market demand.
• Customer-Centric Development
  • Deeply understand user pain points, jobs-to-be-done, and customer workflows through user research, feedback loops, and market intelligence.
  • Translate complex user needs into clear product requirements and user stories.
• Cross-functional Leadership
  • Partner with engineering, data science, UX, and business stakeholders to drive the end-to-end product development lifecycle.
  • Act as the voice of the customer during development, testing, and go-to-market phases.
• Analytics & AI Integration
  • Identify opportunities for AI/ML, data automation, and analytics to enhance product value.
  • Collaborate with technical teams to define models, data pipelines, and measurement metrics.
• Product Launch & Adoption
  • Drive successful product launches, adoption, and usage metrics through collaboration with marketing, sales, and customer success teams.
  • Monitor product performance and continuously iterate based on feedback and data.

Required Qualifications

• 4–7 years of product management experience, ideally in SaaS, B2B, or platform environments.
• Proven experience in building and launching data or AI-driven products.
• Strong technical understanding of data platforms, analytics, and/or ML lifecycle.
• Familiarity with agile methodologies, product lifecycle, and backlog management tools (e.g., Rally, Confluence).
• Exceptional communication, problem-solving, and stakeholder management skills.
• Exposure to healthcare products, clinical workflows, or regulatory environments (e.g., HIPAA, HL7, FHIR).
• MBA or equivalent experie

   

  Key Responsibilities

• Product Strategy & Roadmap
  • Define, own, and evolve the product roadmap for data and AI-driven products, aligned with company goals and customer needs.
  • Prioritize features and initiatives based on business impact, technical feasibility, and market demand.
• Customer-Centric Development
  • Deeply understand user pain points, jobs-to-be-done, and customer workflows through user research, feedback loops, and market intelligence.
  • Translate complex user needs into clear product requirements and user stories.
• Cross-functional Leadership
  • Partner with engineering, data science, UX, and business stakeholders to drive the end-to-end product development lifecycle.
  • Act as the voice of the customer during development, testing, and go-to-market phases.
• Analytics & AI Integration
  • Identify opportunities for AI/ML, data automation, and analytics to enhance product value.
  • Collaborate with technical teams to define models, data pipelines, and measurement metrics.
• Product Launch & Adoption
  • Drive successful product launches, adoption, and usage metrics through collaboration with marketing, sales, and customer success teams.
  • Monitor product performance and continuously iterate based on feedback and data.

•  

  Required Qualifications

• 4–7 years of product management experience, ideally in SaaS, B2B, or platform environments.
• Proven experience in building and launching data or AI-driven products.
• Strong technical understanding of data platforms, analytics, and/or ML lifecycle.
• Familiarity with agile methodologies, product lifecycle, and backlog management tools (e.g., Rally, Confluence).
• Exceptional communication, problem-solving, and stakeholder management skills.
• Exposure to healthcare products, clinical workflows, or regulatory environments (e.g., HIPAA, HL7, FHIR).
• MBA or equivalent experience in business and technology strategy is a plus.
• Experience working with cross-functional global teams and external vendors.
• Knowledge of data platforms, data visualization, and AI/ML frameworks is a plus.

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  nce in business and technology strategy is a plus.
• Experience working with cross-functional global teams and external vendors.
• Knowledge of data platforms, data visualization, and AI/ML frameworks is a plus.