Healthcare Data Engineering Technical Product Owner

3 weeks ago

Louisville, Kentucky, United States Emids Full time

About Emids

Emids is a leading provider of digital transformation solutions to the healthcare industry. We help bridge critical gaps in providing accessible, affordable, and high-quality healthcare by providing digital transformation services, custom application development, data engineering, business intelligence solutions, and specialized consulting services to all parts of the healthcare ecosystem.

The Role

As a Technical Product Owner for Healthcare Data Engineering, you will be responsible for defining and communicating the strategic vision and roadmap for healthcare data engineering initiatives. You will align product goals with business objectives, regulatory compliance, and industry trends. You will also identify opportunities for innovation in data management, analytics, and healthcare interoperability.

Key Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.

Requirements

  • 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).
  • 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).

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