Role : Technical Product Owner

Exp : 8-13 yrs

Location : Bangalore / Noida (Hybrid)

Responsibilities:

• 5+ years of experience in product management or technical product ownership, specifically within healthcare data engineering or a similar domain.
• Strong understanding of healthcare data standards (e.g., HL7, FHIR, ICD, CPT) and healthcare workflows.
• Experience working with data engineering tools and platforms (e.g., ETL tools, data lakes, cloud platforms like AWS, Azure, GCP).
• Hands-on experience with Agile methodologies and managing cross-functional teams.
• Knowledge of data security, privacy, and regulatory frameworks in healthcare (HIPAA, GDPR, etc.).
• Understanding of Relational, NoSQL and Vector databases (e.g., SQL Server, Oracle, Teradata, PostgreSQL, MongoDB, Cassandra, SingleStore, Pinecone).
• Understanding of Machine Learning frameworks (e.g., Python, Keras, Tensorflow)
• Excellent communication and leadership skills, with the ability to manage multiple stakeholders and translate complex technical concepts into business terms.
• Experience with big data technologies (e.g., Hadoop, Spark) and modern data architectures.
• Strong knowledge of database management systems (SQL, NoSQL).
• Experience with BI and analytics tools (Tableau, Power BI, etc.).

Role Overview:

• Product Vision & Strategy:

1. Define and communicate the vision and roadmap for healthcare data engineering projects, aligning with business goals and customer needs.
2. Prioritize the product backlog based on business value, regulatory requirements, and technical feasibility.
3. Collaborate with stakeholders (clinical, operational, technical, etc.) to gather and refine requirements, ensuring alignment with the organization’s data strategy.

• Healthcare Data Management:

1. Ensure data governance, security, and compliance with healthcare regulations such as HIPAA, GDPR, and other regional healthcare standards.
2. Drive initiatives for data quality, standardization, and enrichment, ensuring that the data meets the accuracy and consistency required for analytics and reporting.

• Collaboration & Communication:

1.    Act as the liaison between business stakeholders, data engineering teams, and healthcare professionals to ensure the successful delivery of data solutions.
2.    Facilitate communication between technical and non-technical teams, translating business needs into technical requirements and vice versa.
3.    Conduct regular stakeholder meetings to provide updates on product progress, challenges, and solutions.

• Agile Development:

1.    Lead Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
2.    Work closely with the development team to break down features into user stories, define acceptance criteria, and ensure timely delivery of tasks.
3.   Continuously groom and refine the product backlog based on feedback and changing priorities.
4.   Test the features as per the acceptance criteria

• Technical Expertise:

1.  Work with data engineers to define data architecture, data models, and ETL processes.
2.  Stay updated on the latest trends and technologies in healthcare data engineering and provide recommendations for improvement or new technology adoption.

Data Integration & Analytics:

1.    Oversee data integration projects, ensuring seamless data flow between multiple sources, including cloud environments, on-premise systems, and third-party healthcare applications.
2.    Collaborate with data analysts and scientists to ensure that the data infrastructure supports advanced analytics, AI, and machine learning use cases in healthcare.

• Compliance & Risk Management:

1.        Ensure that data processing and management adhere to industry standards and regulations (e.g., HIPAA, HITRUST).
2.        Identify potential risks associated with data security and privacy, and work with teams to mitigate these risks.

• Customer Demo:

1.  Showcase the product’s features, benefits, and potential ROI in a way that resonates with different stakeholders (e.g., executives, end-users).
2.   Develop customized product demonstrations that align with the unique needs and pain points of potential customers.
3.   Clearly articulate the value proposition of the product during demos, emphasizing how it solves specific problems and enhances efficiency.

• Excellent knowledge of healthcare (Pharmacy Benefit Management (PBM), claims processing, healthcare. responsible for working cross functionally with Sales, Sales Operations, Sales Support,     Finance, Formulary, Legal and Rebate Operations

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related field.
• Advanced certifications in product management or data-related fields (e.g., Certified Scrum Product Owner, CDMP).