AI & Data Product Manager (5 to 15 yrs)

AIMLEAP; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading tech solutions provider in India seeks a Mid-Senior Product Manager specializing in AI and data-driven solutions. The ideal candidate will oversee the product lifecycle, define strategic visions, and manage stakeholder engagement. This full-time position requires 5-15 years of experience in product management and a strong technical background in AI/ML technologies.

Qualifications

• 5–15 years experience in product management focusing on AI and machine learning.
• Strong understanding of AI/ML concepts like NLP, supervised/unsupervised learning.
• Certified Product Management credentials are a plus.

Responsibilities

• Define strategic vision for AI and Data products.
• Develop and maintain comprehensive product roadmaps.
• Conduct competitive analysis and user research.
• Lead the full product development lifecycle.

Skills

Product lifecycle management

AI/ML technical expertise

Cross-functional stakeholder management

Analytical mindset

Problem-solving abilities

Education

Bachelor's or master's in computer science or related field

Tools

Tableau

Power BI

Python

SQL

Jira

Confluence

Job description

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Educational Qualifications: Bachelor’s/master's in computer science, Data Science, Engineering, or a related technical/business field.

Notice Period: Immediate joiners preferred

What We Are Looking For:

• 5–15 years of proven experience in product management with a strong focus on AI, machine learning, and data-driven solutions.
• Demonstrated Hands-on experience managing full product lifecycle from ideation, development, and launch to scale.
• Strong technical background in AI/ML, data platforms, scalable architectures, and cloud technologies (AWS, GCP, Azure).
• Deep business acumen with experience in P&L ownership, GTM strategy, and cross-functional stakeholder management.
• Analytical mindset with proficiency in KPIs, dashboards, and product performance metrics using BI tools like Tableau, Power BI, or similar.
• Demonstrates a strong ability to comprehend and influence technical decision-making, while effectively translating complex technical concepts into clear, business-oriented language for stakeholders.
• Exhibits strong problem-solving abilities with a bias for action, balancing immediate priorities with long-term vision while adapting to high-growth and ambiguous environments.

Responsibilities:

• Define and articulate the strategic vision for AI and Data products in alignment with organizational goals and evolving market demands, leveraging robust market research and competitive analysis to identify trends and opportunities.
• Develop and maintain comprehensive product roadmaps, ensuring clear prioritization and balance between technical feasibility, business value, and customer needs.
• Conduct competitive analysis, user research, and discovery to identify gaps, trends, and value opportunities.
• Lead the full product development lifecycle from concept and prototyping through launch and scaling, ensuring all product features consistently meet defined functional, technical, and performance standards.
• Collaborate with engineering teams to architect robust product solutions, including data pipelines and AI/ML integrations—while driving agile development processes, maintaining clear sprints, product backlogs, and delivery timelines.
• Build and execute go-to-market (GTM) strategies, including messaging, positioning, customer engagement, and feedback loops.
• Manage internal and external stakeholders to ensure successful launches and continuous product iterations.
• Define and monitor key performance indicators (KPIs), ROI, and success metrics to guide product decisions and scaling.
• Demonstrates deep technical expertise to effectively guide technology choices—including AI/ML frameworks and data integration pipelines—while fostering clear communication with technical teams and staying abreast of advancements in AI, machine learning, data platforms, and cloud technologies

Qualifications:

• Bachelor's or master's in computer science, Data Science, Engineering, or related field.
• Strong understanding of AI/ML concepts (NLP, supervised/unsupervised learning, computer vision).
• Proficiency in product development methodologies (Agile, Scrum) and tools (Jira, Confluence).
• Experience working with tools and languages like Python, SQL, Tableau, Power BI, or similar.
• Certified Product Management credentials (e.g., Pragmatic, AIPMM, SAFe) are a plus.
• Demonstrates exceptional communication, stakeholder management, and collaboration skills to effectively align cross-functional teams and drive results.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management and Marketing

• Industries

  IT Services and IT Consulting

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