Data & Product Strategy Manager(3-6 Years)

Job Description Manager – Data Product & Strategy About the Role We are looking for a Data Product & Strategy Manager to work closely with the leadership team across a ₹4,000 Cr+ annual revenue business spanning three strategic domains — IoT, IQ (CPaaS), and UCLM (Unified Campaign Lifecycle Management). The business operates across a wide range of products, technologies, customer segments and markets, creating significant opportunities for new product innovation, revenue growth and operational improvement. This role will act as a strategic anchor across the portfolio — bringing together market intelligence, business data, product thinking and structured problem-solving to identify high-impact opportunities and convert them into actionable business propositions. The person will work closely with leadership to evaluate strategic ideas, develop new product concepts, build business cases, synthesise complex information and drive alignment for investment and execution. A key part of the role will also be to look across domains, identify patterns in business performance and customer behaviour, and determine what can be replicated or scaled across the portfolio to create new revenue pools and strengthen market leadership. What You Will Do Key Responsibilities 1. Business Analytics & Insights Develop a data-driven view of business performance across IoT, CPaaS and UCLM; track key metrics, identify trends and surface risks/opportunities. Use data to challenge assumptions, identify root causes and provide actionable insights to support leadership decisions. 2. Strategy & Product Innovation Identify and evaluate strategic opportunities through market, customer and competitor research; develop strategic briefs, business cases and recommendations for senior leadership. Identify opportunities for differentiated products, partnerships and new revenue pools leveraging Airtel’s unique assets and capabilities. 3. Data Product Development Translate business problems into data/AI product opportunities, use cases and requirements; assess feasibility and define success metrics. Work independently with SQL/Python and data teams to analyse data, build prototypes/POCs and validate product hypotheses. 4. Cross-Portfolio Strategy Identify patterns across IoT, CPaaS and UCLM including successful products, customer behaviours, pricing and GTM approaches Connect insights across businesses to identify horizontal opportunities and drive scalable solutions and market leadership. What We Are Looking For Core Requirements 3–7 years of experience, preferably in strategy, management consulting, data consulting, product strategy, product management or a similar problem-solving role. Structured problem-solving ability. Excellent written and verbal communication skills, with the ability to create compelling leadership narratives. Independently conduct research, analysis and build recommendations. Data & Analytical Skills The candidate should be self-sufficient with data and should not need to depend entirely on analysts for basic analysis. Functional proficiency in: Excel, SQL, Python Databases and data structures. Statistical and analytical concepts. Tools for data visualization and interpretation Building analytical models to support business decisions. The expectation is not that the candidate is a data engineer or hardcore data scientist. Rather, they should be able to tread from a business question to data analysis to insight and finally to recommendation independently. Product Development Skills Understanding of product development lifecycle with Agile framework. Ability to translate customer/business problems into product opportunities. Experience defining product requirements, use cases and success metrics. Understanding of technology and data products sufficiently well to work with engineering and data teams. Ability to assess product feasibility, scalability and commercial potential.