Product Manager - Data & AI Solutions

Essential Duties and Responsibilities:

The Product Manager (Data Products & Services) is responsible for the strategic lifecycle management, development, and commercialization of the organization's data-centric portfolio. The primary objective of this role is to establish a foundational data product ecosystem that enables enterprises to leverage their information assets for advanced business analytics and Artificial Intelligence (AI). The Product Manager is accountable for architecting a flexible product catalogue with diverse offerings to augment requirements across cloud, hybrid, and on-premise environments. The Product Manager will curate a strategic data portfolio designed to simplify the enterprise data experience, seamlessly orchestrating and monetizing every stage of the data lifecycle

1.Strategic Product Lifecycle & Catalogue Management

• Formulate and execute a long-term roadmap for the data product portfolio that supports diverse deployment models, including Cloud-native, On-premise, and Hybrid opportunities.

• Productize a comprehensive data product catalogue that facilitates organizational diversification, ensuring technical compatibility across various infrastructure environments.

• Manage the complete product development lifecycle, from initial market feasibility and conceptual design to formal launch and continuous lifecycle evolution.

2. End-to-End Data Journey Monetization

• Design and implement data solutions that enable the monetization of the entire data value chain, encompassing ingestion, curation, governance, and insights.

• Establish the fundamental technical architecture required for enterprises to transition raw data into high-value assets for business analytics and AI integration.

• Transform bespoke data engineering designs into standardized, "Sales-Ready" product modules to optimize delivery efficiency and organizational margins.

3. Vertical Domain Specialization

• Position and customize specialized data solutions for industry segment needs (such as Healthcare, Manufacturing, Logistics and Smart Cities)

• Develop industry-specific data schemas, compliance frameworks, and visualization layers that address the unique regulatory and operational requirements of these sectors.

• Collaborate with strategic engagement teams to identify domain-specific business frictions that can be addressed through standardized, repeatable data products.

4.Commercial Enablement & GTM Strategy

• Define authoritative pricing strategies, margin benchmarks, and licensing models that support the broad commercialization of the data portfolio.

• Develop comprehensive Go-To-Market (GTM) toolkits, including value proposition frameworks, ROI calculators, and sales enablement materials for customer engagement teams

• Partner with solution architects to ensure that standardized data products serve as the verified building blocks for complex, multi-pillar strategic transformations.

Education and/or Work Experience Requirements:

• Bachelor's degree Data Science, Information Systems, Business Strategy, or a related field. Relevant professional certifications in Product Management or Data Engineering (e.g., Azure Data Engineer) are highly desired.

• Minimum 8–10+ experience in Data Product Management, Data Strategy, or Senior Data Engineering within a technology-led environment.

• In-depth knowledge of modern data stacks (e.g., Microsoft Fabric, Databricks, Snowflake), Data Fabric/Mesh architectures, and on-premise data infrastructure.

• Proven experience in designing data foundations specifically engineered to support downstream Business Analytics and AI/ML workloads.

• Demonstrated ability to architect data solutions tailored for the specific industrial use case.

• Proven capability to launch and manage products that translate business complexities into profitable business models and scalable product catalogues.

• Ability to drive consensus across sales, architecture, and delivery teams to ensure the adoption of standardized products.

• Strong capability to synthesize market requirements into a technical roadmap that balances innovation with commercial viability