Product Manager – Data, ML & AI Products

Navikenz; Bengaluru; Presencial; INR 2 000 000 - 3 000 000; Tempo integral

Resumo da oferta

A leading technology firm is seeking an experienced Product Manager to drive the strategy and scaling of AI/ML-enabled products. The ideal candidate will have over 6 years of experience in product management and a strong background in data-driven product development. Responsibilities include defining product vision, collaborating with data scientists, and supporting go-to-market strategies. Experience in pharmaceutical manufacturing is a plus. This role promises engagement with cutting-edge technologies and strategic initiatives.

Qualificações

• 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, analytics platforms, and Agile product development practices.

Responsabilidades

• Define product vision and strategy for AI/ML-enabled products.
• Partner with data scientists to scope ML models and define data requirements.
• Support product launch, user enablement, and value measurement.

Conhecimentos

Product management

Data-driven product development

Stakeholder management

Machine Learning

Artificial Intelligence

Agile practices

Data analysis

Formação académica

Bachelor’s degree in data science or engineering

MBA

Ferramentas

Cloud data stacks

Analytics platforms

APIs

Descrição da oferta de emprego

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

• 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.
• 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 Experience: 6-10 Years (with 3+ years in data/AI-driven products)