Product management is undergoing a fundamental shift. Traditionally centred on understanding customer needs, defining roadmaps and coordinating development, the role is increasingly shaped by artificial intelligence (AI), data analytics and the ability to translate technology into measurable business outcomes. As organisations build more intelligent, personalised products, product managers must combine customer understanding, technical fluency and commercial judgement.
This shift is reflected in industry data. Deloitte’s 2026 report found that 62% of Indian enterprises surveyed had deployed AI at scale in product development. Productboard’s State of AI in Product Management report also found that 96% of product teams use AI regularly, highlighting its growing role in product management.
From building features to delivering value
AI and generative AI are changing product development at every stage. Teams can use AI to analyse customer feedback, identify unmet needs, accelerate ideation and prototyping, and personalise user experiences. Post-launch analytics can help them understand behaviour, improve engagement and anticipate customer expectations.
Yet faster development does not automatically produce better products. Product managers must determine whether an AI-enabled feature solves a genuine customer problem, supports business objectives and delivers measurable results. A feature that attracts initial interest but fails to improve retention, conversion or satisfaction may add complexity without creating lasting value.
This makes data-driven decision-making essential. Customer interviews and surveys provide qualitative context, while experimentation, behavioural analytics and quantitative research help validate assumptions. Professionals who can interpret these signals are better equipped to prioritise roadmaps, assess product-market fit and direct resources towards initiatives with the greatest potential.
The evolving skill set of product managers
As AI becomes integral to business operations, product managers must bridge customer needs, technology and business strategy. Beyond collaborating with engineering teams, they need to interpret data, evaluate AI applications and ensure that product decisions support commercial goals. Privacy, security and responsible AI considerations are also becoming integral to product development.
The evolving role calls for a combination of capabilities:
• Product strategy: Identifying market opportunities, shaping value propositions, differentiating products and developing pricing strategies.
• Customer insights and analytics: Combining research, experimentation and data analysis to guide product decisions.
• AI fluency: Understanding how AI and generative AI can support innovation, personalisation and customer experience.
• Agile development: Prioritising backlogs, testing digital products and adapting to customer feedback.
• Business and ethical judgement: Tracking metrics such as customer acquisition cost, lifetime value and conversion rates while accounting for responsible AI practices.
These skills are relevant to product managers and product owners, as well as business and data analysts, technology professionals and product marketing managers seeking to advance into broader product responsibilities.
Upskilling for an AI-driven business environment
Developing these capabilities requires more than familiarity with AI tools. Professionals must understand how to apply them, evaluate their outputs and connect technological possibilities to customer and business outcomes. Structured executive education can help bridge this gap by integrating product strategy, analytics, AI and practical application.
The Executive Programme in Data Driven Product Management in the Age of AI by the Indian Institute of Management Lucknow (IIM Lucknow) offers a learning pathway for professionals looking to strengthen these capabilities. The 10-month online programme covers:
• Product strategy and AI: Data governance, AI and generative AI fundamentals, product differentiation, business models and pricing.
• Customer research and analytics: Qualitative and quantitative research, design thinking, Python or R, regression and clustering.
• Product development and growth: Customer journey analysis, personalisation, agile methodologies, product testing, forecasting and marketing ROI.
• Digital platforms and responsible AI: Digital business models, legal compliance, intellectual property and AI ethics.
Learning is reinforced through real-world case studies and a capstone project. The programme also includes a three-day networking and campus immersion at IIM Lucknow’s Noida campus. Participants meeting applicable requirements are eligible for IIM Lucknow’s Executive Alumni Status and receive an IIM Lucknow certificate.
Programme details
• Start date: December 18, 2026
• Duration: 10 months
• Format: Online, with a three-day campus immersion
• Fee: ₹2,35,000 + GST
As AI reshapes how products are conceived, developed and scaled, product management is moving beyond feature delivery. The ability to unite customer insight, analytical rigour, AI fluency and business strategy will increasingly determine which products create meaningful, measurable value.
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