Associate Product Manager - Healthcare IT System

Responsibilities:

- Analyze large and complex healthcare datasets to identify patterns, trends, and opportunities for process improvement.

- Develop actionable insights and recommendations to support strategic and operational decision-making.

- Work with Electronic Health Records (EHR) and other healthcare IT systems to enhance usability and efficiency.

- Ensure compliance with relevant healthcare regulations, standards, and policies.

- Collaborate with clinical and administrative teams to improve workflows and patient outcomes.

- Manage multiple projects simultaneously, ensuring the timely delivery of objectives.

- Develop project plans, track progress, and report on status to stakeholders.

- Coordinate with cross-functional teams to align deliverables with organizational goals.

- Serve as a bridge between technical teams, clinicians, and business stakeholders.

- Translate complex technical and analytical findings into clear, actionable language for non-technical audiences.

- Facilitate workshops, training sessions, and meetings as needed.

- Identify system or process-related challenges and implement effective solutions.

- Provide support in troubleshooting and resolving issues within healthcare IT systems.

- Continuously look for opportunities to streamline workflows and improve efficiency.

Requirements:

- Bachelor's or Master's degree in Healthcare Management, Health Informatics, Data Analytics, Information Systems, or a related field.

- Strong analytical skills with proficiency in data analysis tools (e.g., SQL, Excel, Tableau, Power BI, or similar).

- Excellent communication and interpersonal skills with the ability to work across clinical, technical, and business teams.

- Solid understanding of healthcare systems, clinical workflows, and regulations (HIPAA, ICD, CPT, etc.).

- Demonstrated project management experience, with the ability to handle multiple priorities and meet deadlines.

- Strong problem-solving mindset with a focus on practical, data-driven solutions.