About the Role
Director of Enterprise Data Engineering – Digital and Technology Partners – Remote
- Location: US
- Categories: Information Technology
- ID: 3016788
Description
Director of Enterprise Data Engineering – Digital and Technology Partners – Remote – Req#3016788
The Director of Enterprise Data Engineering is a key part of the enterprise data & analytics leadership team. This role will develop and execute the data engineering portion of our refreshed enterprise data strategy to address both the short-term needs of today and long-term innovative goals of Mount Sinai Health System. This role will touch all aspects of Mount Sinai Health System’s different data and analytics consumers who include executives, data scientists, analysts, researchers, clinicians, operators, administrators and more.
Responsibilities
Duties and Responsibilities
Team Leadership, Data Engineering Development and Management
- Lead, mentor, and manage a diverse data engineering team, fostering a collaborative and productive environment while focusing on the team’s professional growth and effective project delivery.
- Participate in the design, implementation, and maintenance of a robust Data Lakehouse architecture, ensuring its scalability, security, and alignment with healthcare’s standards.
- Develop a high-performing data ingestion framework.
- Oversee the development of ETLs and data models to support the creation of operational, clinical, strategic, and research-focused analytics use cases.
- Coordinate and manage both on-site and offshore data engineering teams, ensuring seamless communication, efficient workflow, and adherence to project timelines and quality standards.
- Facilitate the integration and utilization of APIs for seamless data exchange, while ensuring compliance with data privacy regulations like HIPAA.
Data Governance, Policy Development, Performance Monitoring and Data Quality Assurance
- Establish and uphold data governance frameworks and policies, ensuring data integrity, compliance with healthcare regulations, and security across all data systems and platforms.
- Responsible for our data governance software/services, bringing (or developing) the necessary expertise to evaluate and implement the system to enable data quality measurement and improvement through scripts and data stewardship. This also includes the deployment of enterprise data catalog, lineage, business glossary and data stewardship workflows.
Collaboration and Stakeholder Engagement
- Actively collaborate with cross-functional teams and senior management, ensuring data engineering initiatives support organizational objectives and maintain strong external partnerships for technology solutions.
- Work closely with third party consultants, contractors, and offshore resources to ensure effective communication and collaboration between organizations, such as leading morning huddles.
Qualifications
- Bachelors degree in Business Administration and/or Information Systems with course work in Computer Science or equivalent; Masters preferred.
- 5 years of progressive information systems management experience preferably in a health care field.
- Prefer 10+ years of experience in healthcare systems, including significant exposure to data management, analytics, and engineering in a healthcare setting.
- Exceptional people skills: adept at engaging effectively with diverse skill sets and personalities across various organizational levels.
- Advanced analytical, problem-solving, and decision-making abilities, with history of addressing challenging technical and organizational issues.
- Highly organized and detail-oriented, with a proven ability to prioritize workload, meet strict deadlines, and manage multiple projects concurrently.
- Excellent communication skills, both verbal and written, with proficiency in crafting clear and persuasive narratives for various audiences.
- Experience with Electronic Health Records (EHR) systems, displaying a deep understanding of their integration, functionality, and data structures within a healthcare setting.
- Knowledge of healthcare data standards, such as HL7, FHIR, and ICD-10.
- Knowledgeable in current data security practices and compliance standards relevant to healthcare, such as HIPAA.
- Experience with data integration and interoperability within healthcare environments, including proficiency in developing and utilizing APIs for data exchange between healthcare systems.
- Expertise in at least one public cloud platform (e.g., AWS, Azure, GCP) and proficiency with modern data processing and engineering tools.
- Experience building ETL workflows in different platforms (Pentaho, Azure Data Factory, Azure Fabric, Databricks).
- Experience with version control systems like Git for managing code and collaboration.
- Experience with data visualization and BI tools such as Tableau, Power BI, and Plotly.