Healthcare Data Engineering Lead

About Emids:

Emids is a leading provider of digital transformation solutions to the healthcare industry, serving payers, providers, life sciences, and technology firms. Our mission is to 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:

Key Responsibilities:

Product Strategy & Vision:

• Define and communicate the strategic vision and roadmap for healthcare data engineering initiatives, ensuring alignment with business objectives, regulatory compliance, and industry trends.
• Identify opportunities for innovation in data management, analytics, and healthcare interoperability, driving business growth and improving patient outcomes.

Stakeholder Management:

• Work closely with business stakeholders, healthcare professionals, data engineers, and IT teams to gather requirements and prioritize features, ensuring effective communication and collaboration.
• Serve as the primary liaison between technical teams and non-technical stakeholders, providing clarity and ensuring successful project outcomes.

Data Engineering Oversight:

• Ensure the technical team delivers high-quality, scalable, and secure data infrastructure, meeting the needs of healthcare data engineering initiatives.
• Guide the design of data architectures and models that support analytics, reporting, and healthcare operations, ensuring data quality and integrity.

Healthcare Data Management:

• Ensure compliance with healthcare regulations such as HIPAA, GDPR, HITRUST, and other regional standards for data privacy and security, protecting sensitive patient information.
• Drive efforts around data governance, quality, and standardization across the healthcare data lifecycle, ensuring data accuracy and reliability.

Agile Leadership:

• Lead Agile product development ceremonies, including sprint planning, backlog grooming, and retrospectives, ensuring effective team collaboration and project delivery.
• Define and prioritize product backlog items, ensuring alignment with business needs and technical feasibility, driving project success.

Data Integration & Interoperability:

• Oversee data integration efforts from multiple healthcare systems, ensuring interoperability between cloud environments, on-premise systems, and third-party healthcare applications, facilitating seamless data exchange.
• Ensure that data engineering solutions enable efficient data exchange, integration, and transformation based on healthcare data standards (HL7, FHIR, ICD, CPT), supporting data-driven decision-making.

Technical Expertise:

• Collaborate with technical teams to make informed decisions on data architecture, technologies, and platforms, ensuring data quality and integrity.
• Stay current on the latest trends in healthcare data engineering, cloud technologies, and AI/ML applications in healthcare, driving innovation and improvement.

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 modeling, supporting data-driven decision-making.
• Ensure that data is structured and accessible for real-time analytics, dashboards, and reports that drive healthcare decision-making, improving patient outcomes.

Data Enrichment & Transformation:

• Lead efforts to define and implement data enrichment, transformation, and quality improvement processes, ensuring data accuracy and reliability.
• Ensure the integration of external reference data sources or in-house reference data for advanced data processing, supporting data-driven decision-making.

Compliance & Risk Management:

• Ensure that all data processes comply with healthcare regulatory requirements and industry best practices, protecting sensitive patient information.
• Implement data validation, error handling, and auditing procedures to maintain high standards of data integrity, ensuring data quality and reliability.

Customer Demo:

• Showcase the product's features, benefits, and potential ROI in a way that resonates with different stakeholders, highlighting the value proposition.
• Develop customized product demonstrations that align with the unique needs and pain points of potential customers, driving business growth.

Experience:

• 8+ years of experience in product management, technical product ownership, or technical leadership roles, preferably in the healthcare domain, with a strong understanding of healthcare data standards and systems.
• Proven experience in healthcare data engineering, including ETL processes, data pipelines, and cloud-based data solutions (AWS, Azure, GCP), ensuring data quality and integrity.
• Solid understanding of healthcare regulations (HIPAA, GDPR, HITRUST) and compliance requirements, protecting sensitive patient information.
• Excellent knowledge of healthcare (Pharmacy Benefit Management (PBM), claims processing, healthcare) and experience 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, ensuring effective project delivery.
• Experience with data engineering tools, cloud platforms, and big data technologies (Hadoop, Spark, Kafka), driving innovation and improvement.
• Understanding of Relational, NoSQL, and Vector databases (e.g., SQL Server, Oracle, Teradata, PostgreSQL, MongoDB, Cassandra, SingleStore, Pinecone), ensuring data quality and integrity.
• Understanding of Machine Learning frameworks (e.g., Python, Keras, Tensorflow), driving innovation and improvement.
• Excellent communication skills, with the ability to manage and influence multiple stakeholders, ensuring effective collaboration and project delivery.
• Experience with modern cloud data platforms (AWS, Azure, GCP) and tools such as Databricks, Snowflake, or similar, driving innovation and improvement.
• Experience with business intelligence (BI) and data visualization tools (Tableau, Power BI), supporting data-driven decision-making.
• Understanding of data governance frameworks and master data management (MDM), ensuring data quality and integrity.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field, with a strong understanding of healthcare data standards and systems.
• Advanced certifications in product management or data-related fields (e.g., Certified Scrum Product Owner, CDMP), ensuring expertise and knowledge.

EEO Statement: Emids is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.