Assistant Director, Informatics & Data Engineering
Determine the strategic direction regarding the use and practical applications of clinical information technology within the Student Health Center (SHC), and the University’s public health function. Engage staff to ensure optimization of clinical application solutions that enable the delivery of safe, effective, and high quality patient care.
Manage the entire project life cycle for health information system design and implementation initiatives for an integrated ambulatory health system. In partnership with the SHC Associate Director, Information Technology, plan and manage multiple medium to large scale projects, using resources from NYU Student Health Center Information Technology (SHC IT), clinical, and vendor teams.
Provide subject matter expertise sufficient to translate clinical data into information, actionable knowledge, and reporting in the daily medical and counseling practices. Research and recommend new applications and solutions for strategic and tactical clinical needs.
Serve as secondary liaison to the clinical user community and SHC/NYU leadership by providing direction and education on clinical information technology initiatives, especially concerning the SHC electronic health record (EHR) system. As designated by the SHC Governing Body, serve as the Health Information System official for compliance with external AAAHC accreditation standards.
Qualifications:Required Education:
Bachelor's Degree in Computer Science, Information Management, Information Systems, Information Technology, Electrical Engineering.
Preferred Education:Master's Degree in Computer Science, Information Management, Information Systems, Information Technology, Electrical Engineering, Business Administration.
Required Experience:5+ years of progressively responsible experience in health informatics and data engineering. Experience with first, design and implementation of information systems in health care; and second, leading complex, interdisciplinary projects that include various health care providers, administrators, and information system professionals.
Demonstrated experience in designing and developing architectural/data solutions in Enterprise Data Warehouse environment using SQL.
Preferred Experience:5+ years Previous experience in higher education environment and/or previous experience in healthcare organization, experience with HIPAA, HITRUST, SOC 2, and GDPR. Previous experience with a wide range of development tools: Databricks, Airflow, REST, Aptible, Docker, Terraform, Spark, Kafka, Fivetran, AWS (S3, Lambda, Kinesis, Aurora, Glue).
Knowledge and experience in Microsoft SQL, Oracle SQL, Snowflake, PostgreSQL, Tableau. Previous experience in Iterative and/or Agile methodologies.
Required Skills, Knowledge and Abilities:Demonstrated strong knowledge of entity relationship diagram modeling and dimensional data modeling. Strong analytical, process flow, interviewing, and problem-solving skills; ability to understand technology concepts (application and infrastructure architecture).
Ability to provide relevant, understandable technical advice to a non-technical audience. Knowledge of current and emerging information technologies and systems including systems development, data engineering (ETL/ELT pipelines), data warehousing, a variety of operating systems, and large database applications.
Proficient in Structured Query Language (SQL) and Python.
Preferred Skills, Knowledge and Abilities:Advanced programming skills in SQL and Python. Knowledge of NYU’s enterprise systems such as UDW+. Familiarity with technologies / methodologies including AWS, Mulesoft, Tableau, sqlDBM and Data Vault.
Additional Information:In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $140,000.00 to USD $160,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
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