Product Manager – Data, ML & AI Products
Navikenz
About the role
About the role:
We are looking for an experienced Product Manager to lead the strategy, development, and scaling of data-driven products leveraging Machine Learning (ML) and Artificial Intelligence (AI). This role will work at the intersection of business, data science, engineering, and domain teams to deliver high-impact products that solve complex operational and business problems.
Prior experience in pharmaceutical manufacturing, supply chain, or quality operations is a strong plus, especially in use cases involving process optimization, predictive analytics, compliance, and automation.
Responsibilities:
Product Strategy & Roadmap
• Define product vision, strategy, and multi-quarter roadmap for AI/ML-enabled products.
• Identify high-value use cases leveraging data, analytics, and intelligent automation.
• Translate business outcomes into product features, model capabilities, and platform requirements.
• Own product KPIs including adoption, value realization, and user satisfaction.
AI/ML Product Delivery
• Partner with data scientists to scope ML models (prediction, optimization, NLP, etc.).
• Define data requirements, labelling strategies, model success metrics, and continuous improvement loops.
• Work closely with engineering teams to deliver scalable, secure, production-grade AI products.
• Ensure responsible AI practices including explainability, bias mitigation, and monitoring.
Stakeholder & Customer Collaboration
• Engage with enterprise customers, business leaders, and domain SMEs to understand workflows and pain points.
• Convert insights into clear user stories, PRDs, and prioritized backlogs.
• Facilitate design thinking sessions and product discovery workshops.
Go-to-Market & Scaling
• Support product launch, user enablement, and value measurement.
• Gather user feedback and analytics to drive iteration and continuous improvement.
• Work with sales and marketing teams on product positioning and value propositions.
Requirements:
• Bachelor’s degree in data science or engineering. MBA is a plus.
• 6+ years of overall experience in product management, digital transformation, or technology delivery.
• 3+ years managing data-driven or AI/ML-enabled products in production environments.
• Strong understanding of: • ML model lifecycle (data prep, training, validation, deployment, monitoring)
• Analytics platforms, cloud data stacks, and APIs
• Agile product development practices
• Proven ability to translate business problems into scalable AI solutions.
• Experience in pharmaceutical manufacturing and life sciences operations, and familiarity with regulatory environments (GxP, validation) will be a big plus.
• Excellent communication and stakeholder management.
Work Location: Bangalore & Noida (Hybrid)
Work Experience: 6-10 Years (with 3+ years in data/AI-driven products)
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