Required Qualifications
- 8+ years of experience in technical product management, preferably in healthcare, data platforms, or ML/AI systems.
- Strong understanding of data analytics architecture, data modeling, and ML/LLM pipelines.
- Experience working with cross-functional engineering teams in an agile environment.
- Proven ability to manage ambiguity and drive clarity in complex systems.
- Excellent communication skills and ability to influence without authority.
- Ability to support product development via efficient and effective project management practices.
- Organize engineering and analytics teams around complex development projects, ensuring that the right level of process (not too little, not too much) is put in place to ensure delivery excellence.
- Able to work with stakeholders to define project objectives, scope, and requirements. This involves understanding business needs, identifying key metrics, and translating them into actionable project plan.
- Flexible to adjust plans and strategies as project requirements evolve.
- Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams.?
- Support engineering and data science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business.??
- Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability and quality.??
- Ability to contribute to best practices and efficient practices
- Adapt and champion Agile methodologies and Lean practices in product development.??
- Highly organized and skilled in managing multiple tasks, priorities, and deadlines. This includes creating project plans, setting milestones, tracking progress, and ensuring timely delivery.
- Support the establishment and maintenance of release-management, product planning and launch frameworks.?
- Able to identify potential risks and develop strategies to mitigate them. This involves assessing risks, creating contingency plans.
- Ability to operate in an ambiguous and fast-paced environment.??
- Experience with ServiceNow, Jira, Confluence, Tableau
Preferred Qualifications
- Healthcare industry knowledge