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Rarr Technologies
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Product Manager Data & AI

Product Manager Data & AI

Rarr Technologies

4 - 7 years

13 - 17 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Product management Product launch Automation HIPAA Market intelligence Agile Healthcare data visualization Stakeholder management Analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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.

Ai, Ml Lifecycle, Data Pipelines, Integratons

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