Define and communicate the strategic vision and roadmap for healthcare data engineering initiatives.
Align product goals with business objectives, regulatory compliance, and industry trends.
Identify opportunities for innovation in data management, analytics, and healthcare interoperability.
Stakeholder Management:
Work closely with business stakeholders, healthcare professionals, data engineers, and IT teams to gather requirements and prioritize features.
Serve as the primary liaison between technical teams and non-technical stakeholders, ensuring clarity in communication.
Present product updates, project milestones, and risks to executives and key stakeholders.
Data Engineering Oversight:
Ensure the technical team delivers high-quality, scalable, and secure data infrastructure.
Guide the design of data architectures and models that support analytics, reporting, and healthcare operations.
Healthcare Data Management:
Ensure compliance with healthcare regulations such as HIPAA, GDPR, HITRUST, and other regional standards for data privacy and security.
Drive efforts around data governance, quality, and standardization across the healthcare data lifecycle.
Oversee the implementation of ETL processes and cloud-based data storage solutions.
Agile Leadership:
Lead Agile product development ceremonies, including sprint planning, backlog grooming, and retrospectives.
Define and prioritize product backlog items, ensuring alignment with business needs and technical feasibility.
Collaborate with the engineering team to break down complex technical requirements into user stories and tasks.
Data Integration & Interoperability:
Oversee data integration efforts from multiple healthcare systems, ensuring interoperability between cloud environments, on-premise systems, and third-party healthcare applications.
Ensure that data engineering solutions enable efficient data exchange, integration, and transformation based on healthcare data standards (HL7, FHIR, ICD, CPT)
Technical Expertise:
Collaborate with technical teams to make informed decisions on data architecture, technologies, and platforms.
Stay current on the latest trends in healthcare data engineering, cloud technologies, and AI/ML applications in healthcare.
Lead discussions on data security, data encryption, and risk management in healthcare systems.
Data Analytics Enablement:
Collaborate with data analysts, data scientists, and BI teams to ensure that data engineering solutions meet the requirements for advanced analytics, machine learning, and predictive modelling.
Ensure that data is structured and accessible for real-time analytics, dashboards, and reports that drive healthcare decision-making.
Data Enrichment & Transformation:
Lead efforts to define and implement data enrichment, transformation, and quality improvement processes.
Ensure the integration of external reference data sources or in-house reference data for advanced data processing.
Oversee the use of third-party applications or tools for data transformation and enrichment.
Compliance & Risk Management:
Ensure that all data processes comply with healthcare regulatory requirements and industry best practices.
Implement data validation, error handling, and auditing procedures to maintain high standards of data integrity.
Work closely with legal, compliance, and IT teams to mitigate data-related risks.
Customer Demo:
Showcase the product’s features, benefits, and potential ROI in a way that resonates with different stakeholders (e.g., executives, end-users).
Develop customized product demonstrations that align with the unique needs and pain points of potential customers.
Clearly articulate the value proposition of the product during demos, emphasizing how it solves specific problems and enhances efficiency.
Use real-world scenarios and case studies to illustrate the product's effectiveness and relevance.
Experience:
8+ years of experience in product management, technical product ownership, or technical leadership roles, preferably in the healthcare domain.
Strong knowledge of healthcare data standards and systems (e.g., HL7, FHIR, ICD, CPT).
Proven experience in healthcare data engineering, including ETL processes, data pipelines, and cloud-based data solutions (AWS, Azure, GCP).
Solid understanding of healthcare regulations (HIPAA, GDPR, HITRUST) and compliance requirements.
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
Extensive experience with Agile methodologies, leading cross-functional teams, and delivering complex projects.
Experience with data engineering tools, cloud platforms, and big data technologies (Hadoop, Spark, Kafka).
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 skills, with the ability to manage and influence multiple stakeholders.
Experience with modern cloud data platforms (AWS, Azure, GCP) and tools such as Databricks, Snowflake, or similar.
Experience with business intelligence (BI) and data visualization tools (Tableau, Power BI).
Understanding of data governance frameworks and master data management (MDM).
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).