Responsibilities:
• Work closely with stakeholders and domain specialists to understand their needs, challenges, and objectives, and translate them into actionable use cases and product requirements.
• Collaborate with the data science team to identify, prioritize, and develop data science products that address key business opportunities and challenges.
• Lead the full development lifecycle from ideation to delivery, ensuring timely and high-quality product releases.
• Manage all Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, to drive iterative development and continuous improvement.
• Drive product strategy and roadmap planning in alignment with business goals and stakeholder needs.
• Serve as a subject matter expert on technical aspects of the product, providing guidance and support to team members, stakeholders, and domain specialists.
• Keep abreast of industry trends, emerging technologies, and best practices to inform product development and innovation.

Qualifications:
• Proven experience in technical product management, preferably in the healthcare industry.
• Strong understanding of the development lifecycle and Agile methodologies, with hands-on experience running Scrum ceremonies.
• Ability to ideate, innovate, and drive the development of data science solutions to complex business problems.
• Familiarity with cloud platforms such as Azure, data warehousing technologies like Snowflake, and data processing frameworks like Databricks.
• Proficiency in SQL and Python is preferred but not required.