Job
Description
You will be responsible for leading the development of data services and AI products at Delhivery. Your main responsibilities will include: - Product Ownership: - Define and execute the roadmap for data-as-a-service (DaaS) capabilities, data APIs, and other data-centric solutions. - Translate operational challenges into data and model-driven opportunities. - Partner with data scientists to prioritize, scope, and validate models for measurable business outcomes. - Cross-functional Collaboration: - Act as a bridge between engineering, operations, and data consumers. - Work closely with different teams to understand real-world constraints and ensure AI systems are grounded in operational reality. - Translate analytical and business needs into clear data requirements and user stories. - Evangelize the use of shared data assets for consistency and trust in reporting and models. - Insight & Impact: - Define success metrics and track adoption of data solutions. - Build mechanisms for data observability and feedback loops to improve data accuracy and usability. - Identify monetization opportunities for internal or external data products. Qualifications required for this role: - 3-5 years of experience in Product Management, preferably in data platform, infrastructure, or AI/analytics products. - 2+ years in AI-focused product management in B2B2C, B2B, or B2C space. - Deep understanding of LLMs, AI Agentic Platform, Generative AI, and Predictive AI models. - Strong analytical and problem-solving skills with the ability to define clear KPIs and value measures for data initiatives. - Ability to collaborate effectively with engineering, analytics, and compliance stakeholders. - High degree of independent drive. - Bonus: Experience with AI/ML data readiness, metadata management, or supply chain logistics domain knowledge. You will be responsible for leading the development of data services and AI products at Delhivery. Your main responsibilities will include: - Product Ownership: - Define and execute the roadmap for data-as-a-service (DaaS) capabilities, data APIs, and other data-centric solutions. - Translate operational challenges into data and model-driven opportunities. - Partner with data scientists to prioritize, scope, and validate models for measurable business outcomes. - Cross-functional Collaboration: - Act as a bridge between engineering, operations, and data consumers. - Work closely with different teams to understand real-world constraints and ensure AI systems are grounded in operational reality. - Translate analytical and business needs into clear data requirements and user stories. - Evangelize the use of shared data assets for consistency and trust in reporting and models. - Insight & Impact: - Define success metrics and track adoption of data solutions. - Build mechanisms for data observability and feedback loops to improve data accuracy and usability. - Identify monetization opportunities for internal or external data products. Qualifications required for this role: - 3-5 years of experience in Product Management, preferably in data platform, infrastructure, or AI/analytics products. - 2+ years in AI-focused product management in B2B2C, B2B, or B2C space. - Deep understanding of LLMs, AI Agentic Platform, Generative AI, and Predictive AI models. - Strong analytical and problem-solving skills with the ability to define clear KPIs and value measures for data initiatives. - Ability to collaborate effectively with engineering, analytics, and compliance stakeholders. - High degree of independent drive. - Bonus: Experience with AI/ML data readiness, metadata management, or supply chain logistics domain knowledge.
