- Take ownership of assigned parts of the product roadmap and decide what features to build based on user needs and business goals.

- Identify improvements and new product ideas.

- Write clear product documents, user stories, and acceptance criteria.

- Manage sprint planning, backlog, and product releases.

- Work closely with engineering and data teams to deliver features on time.

- Track timelines, risks, and dependencies.

- Collaborate with leadership, healthcare experts, and customers to align product direction.

- Create workflows, use cases, and user journeys.

- Maintain product documentation and release notes.

- Prepare product demos, presentations, and internal materials.

- Work with data teams to define AI/ML use cases and ensure outputs meet business needs.

- Use SQL or Python to check data, validate assumptions, and support product decisions.

- Ensure product features and AI outputs meet healthcare standards and expectations.

- Use AI tools to improve efficiency in documentation and product workflows.

- Manage trackers, documentation, and product metrics.

- Monitor product performance, adoption, and feature usage.

- Support roadmap planning and prioritisation.

- Continuously improve product processes and workflows.

Requirements :

- 5 - 8 years of experience in Product Management.

- Experience working on technology, SaaS, AI, analytics, or data products.

- Strong experience in writing product documents and managing requirements.

- Ability to work between business teams and technical teams, translating needs clearly.

- Strong analytical thinking and problem-solving skills.

- Comfortable working in a fast-paced environment.

- Must have experience in Pharma, Healthcare, or Life Sciences.

- Good understanding of healthcare workflows and industry practices.

- Basic working knowledge of SQL or Python is preferred.

- Experience working in startups or dynamic environments is a plus.

- Familiarity with healthcare regulations (like HIPAA, GxP, FDA guidelines).

- Understanding of data systems, APIs, or cloud platforms (AWS, GCP) is preferred