Associate Product Manager

Role Overview

• Our colleague in this role will lead and directly manage key parts of the Medha Analytics product vision, development, and execution. This role is vital in the broader vision of running highly automated and efficient healthcare systems. In addition, the role will also be responsible for evangelising the technical platform and data assets across the company to achieve buy-in to the platform and understand if the intended impact is delivered. This product role is part of the Advanced Analytics AI division at Narayana Health.
• This role requires close collaboration with other product managers, data engineering, functional teams, and the technical teams of various underlying applications.
• The right candidate will be able to understand a platform product vision and be capable of blending the needs of different technical business groups into a well-formed technical product platform. Furthermore, this person will have a diverse background and a demonstrable track record of successfully building and managing scaled, high-quality, innovative data platforms and technical services for internal or external customers. The right candidate must be a self-motivated team player who can contribute to the overall business objectives of the organisation.
• This role directly supervises the Business/Data Analyst team (Analysts and Senior Analysts) that delivers analytics models, dashboards, and AI agent/bot automation for the business.

Job Responsibilities

Product Platform Delivery

• Plan and lead the implementation of analytics products on the Medha Analytics Platform.
• In partnership with the data engineering team, product team, and quality assurance team, prioritise and lead product feature development.
• Define, communicate, and proactively analyse bottlenecks, and ensure adherence to product delivery SLAs.
• Propose multiple potential solutions for complex or new problems or processes, and make objective recommendations as to which direction should be taken.
• Provide transparency and recommendations on project trade-offs, and provide dependency coordination.
• Perform with a wide degree of latitude on creative solutions.
• Continually assess and integrate internal external customer feedback and business metrics.
• Stay on top of market trends to determine new or enhanced product capabilities that positively impact business objectives.

Team Leadership Analyst Management

• Directly supervise the Business/Data Analyst team (Analysts and Senior Analysts), who deliver analytics models, dashboards, and AI agent/bot automation for the business.
• Act as the bridge between the product and the analyst team - break down product requirements into well-scoped tasks and set priorities for analysts to execute against.
• Review analyst deliverables (dashboards, models, KPIs/metrics, AI agents and bots) for technical quality, accuracy, and adherence to delivery SLAs before they reach stakeholders.
• Plan team capacity and allocate work across analysts and senior analysts against delivery priorities and SLAs.
• Coach and mentor analysts on technical growth (SQL, Python, BI tooling, AI/GenAI automation and bot development).
• Remove blockers and resolve escalations on behalf of the team, coordinating with data engineering, QA, and other functional/technical teams.

Candidate Requirements

Education

• BE / B.Tech in Computer Science or a related technical discipline, or its equivalent.
• PGDM from a leading management institute (good to have).

Experience

• 6 years experience in a technical Product Management team, working very closely with analysts and database teams, or as an individual contributor.
• A minimum of 4 years of experience in the analytics tech stack, Data Transformation and Data Visualisation, AI Automations, Data Science tools, and Gen AI frameworks.
• Experience directly managing or leading a team of data/business analysts is a plus - this role owns people management for the analyst team, not just project delivery.

Key Skills

• Ability to balance hands-on technical review with delegation - knows when to guide analysts versus when to step in directly.
• Demonstrated data-driven decision-making capabilities, with strong analytical skills to influence product decisions.
• Experience taking direction and input from multiple sources and creating a shared product vision.
• Demonstrated ability to work on a diverse scope of projects requiring detailed analysis, creative/practical problem-solving, and sound judgment.
• Project management experience on analytics/data intelligence projects, including capacity planning and workload allocation across a team.
• Strong communication skills.

Technical Skills

• Hands-on experience with analytics product implementation, data analysis, implementation solutioning, and data governance.
• Comfortable working with Big Data technologies, building and designing products that utilise both real-time and batch data streams.

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