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About the Role
The Senior Data Design and Analytics Manager leads the development, optimization, and oversight of data systems for clinical, research, and operational initiatives. This role manages a team of data scientists and is responsible for developing and implementing machine learning and AI-driven solutions to support advanced clinical analytics and decision-making.
Responsibilities
- Design and maintain robust SQL Server databases and infrastructure.
- Develop and manage ETL workflows from various healthcare systems into departmental SQL Server databases.
- Lead the development of interactive dashboards and custom reports using SSRS, Power BI, and other BI tools.
- Create, enhance, and maintain secure, scalable, internal web applications using ASP.NET technologies.
- Lead application modernization initiatives by migrating legacy applications to .NET Core MVC.
- Apply statistical, machine learning, and AI techniques for clinical prediction models and operational insights.
- Leverage AI-assisted development tools to improve workflows.
- Automate data pipelines and recurring reports using SSIS and SSRS.
- Ensure high standards of data integrity, governance, security, and compliance.
- Collaborate with cross-functional teams to align data solutions with institutional needs.
- Provide data support for academic research projects.
- Document data systems, architecture, and custom applications.
- Engage with Vice Chair for Clinical Trials and Learning Health Systems to advance learning health system mission.
- Manage a team of data scientists, including hiring, mentoring, and performance.
- Develop and implement machine learning and AI-driven solutions.
- Perform other duties as assigned.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Healthcare Informatics, or a related field or equivalent work experience.
- Minimum 5 years of experience as a Solution Architect with expertise in business intelligence, data analytics, data engineering, and enterprise application development within healthcare or academic environments.
- Advanced proficiency in SQL Server, T-SQL, PL/SQL, Python, C#, ASP.NET MVC/.NET Core, JavaScript, SSIS, SSRS, Power BI.
- Strong experience in data engineering, ETL development, BI, and enterprise application development.
- Demonstrated expertise in data visualization, statistical analysis, and AI/ML model development in healthcare contexts.
- Familiarity with Epic Systems (Clarity, Caboodle, Hyperspace) and electronic health record data workflows preferred.
- Experience working with cloud platforms such as Microsoft Azure, Azure DevOps, CI/CD pipelines, and enterprise authentication technologies (SSO) preferred.
- Familiarity with AI-assisted development tools such as Claude, Codex, GitHub Copilot, or similar technologies.
- Excellent problem-solving, communication, and collaboration skills.
- Ability to manage multiple projects independently in a fast-paced, research-oriented environment.
- Prior experience supporting clinical or academic research initiatives in a medical institution is strongly preferred.
Skills
- SQL Server
- T-SQL
- PL/SQL
- Python
- C#
- ASP.NET MVC
- .NET Core
- JavaScript
- SSIS
- SSRS
- Power BI
- Data Engineering
- ETL Development
- Business Intelligence
- Enterprise Application Development
- Data Visualization
- Statistical Analysis
- AI/ML Model Development
- Microsoft Azure
- Azure DevOps
- CI/CD pipelines
- SSO
- Claude
- Codex
- GitHub Copilot
Experience Level
- Senior
- 5 years
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- USD $120,000.00/Yr.
- USD $150,000.00/Yr.
About the Company
- Albert Einstein College of Medicine