Role overview

Experience

1. 5-10 years of product management experience, with preferred experience in healthcare domain (RCM will be a big advantage).

2. Technical Acumen: A strong grasp of data engineering, data science and machine learning principles is fundamental. Experience in implementing GPT, LSM, LAM with proven track record in implementation of Agentic AI, LLM in live use cases

3. Experience in driving product roadmap for Modern data platform, understanding of Datalake, Datalakehouse, ETL/ELT, Data Streaming, Cloud Platforms, Python/PySpark/Scala.

4. Experience in integration of AI within Data Platform

5. Strategic Thinking: The ability to align product strategies with overall business goals while identifying opportunities for growth.

6. Communication Skills: Effective communication with both technical and non-technical stakeholders is essential for successful collaboration.

7. Agile Methodologies: Familiarity with agile practices helps manage iterative development and rapid prototyping.

8. Familiarity with HIPAA or other US health regulatory and compliance standards.

9. Familiarity with HL7, FHIR and other US health data standards.

10. Strong analytical and problem-solving skills; comfortable working with structured and unstructured healthcare data.

11. Ability to engage with clinical professionals and understand medical terminology and workflows.

Specific Job Knowledge, Skill and Ability

1. Strong product management, project management skills

2. Strong stakeholder management, strategic acumen to drive product roadmap

3. Passion for mentoring and guiding others

4. Strong written and verbal communication skills

5. Ability to keep security, maintainability, and scalability in mind with the solutions built

6. Possess excellent interpersonal communication skills and an aptitude for continued learning

Duties and Responsibilities

1. Partner with business stakeholders and technology leadership to understand requirements for modern Data Platform and RCM products

2. Define and measure success of AI/Data initiatives through adoption, accuracy, efficiency gains, and business value delivered

3. Define product vision and develop product roadmap driving AI centric products, features and aligning Data Platform needs

4. Bridge the gap between AI/data science and business operations by contextualizing technical possibilities into RCM and healthcare workflows

5. Manage product and technology transformation, aligning technology roadmap for products with AI vision

6. Define ROI and value proposition for new product and features

7. Lead and participate in agile ceremonies for Data Platform and AI scope of each product

8. Collaborate with Data Scientists and Product development teams in creating a unified product lifecycle

9. Foster an environment of accountability between engineering team members and between engineering teams and business stakeholders

10. Adhere to the Code of Conduct and be familiar with all compliance policies and procedures stored relevant to this position

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