Senior Data Design and Analytics Manager

Albert Einstein College of Medicine; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Albert Einstein College of Medicine is seeking a Senior Data Design and Analytics Manager in New York to lead data systems supporting clinical, research, and operational initiatives. You will oversee a team of data scientists, develop ML/AI solutions, and deliver actionable insights through secure, scalable data platforms.

You will design and optimize data pipelines, dashboards, and internal applications, collaborating with physicians, researchers, and IT to align data strategies with

Qualifications

• Bachelor’s or Master’s degree in CS/Info Systems/Healthcare Informatics or equivalent work experience.
• Minimum 5 years of experience as a Solution Architect with expertise in BI, data analytics, data engineering, and enterprise app development in healthcare/academic environments.
• Advanced proficiency in SQL Server, T-SQL, PL/SQL, Python, C#, ASP.NET MVC/.NET Core, JavaScript, SSIS, SSRS, Power BI; strong data engineering and enterprise app development skills.
• Demonstrated expertise in data visualization, statistical analysis, and AI/ML model development in healthcare contexts.
• Familiarity with Epic Systems (Clarity, Caboodle, Hyperspace) and EHR data workflows; experience with Azure, CI/CD, and SSO preferred.
• Familiarity with AI-assisted development tools such as Claude, Codex, GitHub Copilot; strong problem-solving 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.

Responsibilities

• Design and maintain robust SQL Server databases and infrastructure to support data analytics, dashboards, internal web apps, and portals.
• Develop and manage ETL workflows to ingest data from Epic Clarity, Snowflake helix (AWS), Banner, Oracle, and other systems into departmental SQL Server databases.
• Lead the development of interactive dashboards and reports using SSRS, Power BI, and other BI tools for leadership, researchers, and clinicians.
• Create, enhance, and maintain secure, scalable internal web applications using ASP.NET technologies; lead modernization by migrating legacy Web Forms to .NET Core MVC.
• Apply ML and AI techniques for clinical prediction models and operational insights.
• Leverage AI-assisted development tools to improve software development, documentation, automation, and analytics workflows.
• Automate data pipelines and recurring reports using SSIS/SSRS to improve efficiency and reliability.
• Ensure data integrity, governance, security, and compliance across analytics workflows.
• Collaborate with physicians, researchers, finance, IT, and clinical ops to align data solutions with institutional needs.
• Provide data support for academic research, including cohort identification, clinical outcomes, and data visualization.
• Document data systems and architecture to ensure scalability and knowledge continuity.
• Engage with leadership to advance the learning health system mission of the Department of Medicine.
• Manage a team of data scientists in hiring, mentoring, and performance; drive ML/AI solutions for advanced analytics.

Skills

SQL Server

T-SQL

PL/SQL

Python

C#

ASP.NET MVC/.NET Core

JavaScript

SSIS

SSRS

Power BI

Data engineering

Education

Bachelor’s or Master’s degree in CS/Info Systems/Healthcare Informatics

Tools

Azure DevOps

Azure

CI/CD pipelines

Epic Clarity/Caboodle/Hyperspace

Job description

POSITION RESPONSIBILITIES

Key responsibilities include designing scalable data infrastructure, managing end-to-end data workflows, developing secure internal web applications and administrative portals, implementing modern authentication solutions, creating enterprise-grade dashboards, and fostering a data-driven culture across the department. The manager also supports academic research, clinical operations, and administrative planning by delivering actionable insights through sophisticated data solutions.

Duties and Responsibilities:

• Design and maintain robust SQL Server databases and infrastructure to support data analytics, dashboarding, and internal web applications, and administrative portals.
• Develop and manage ETL workflows to extract, transform, and load data from Epic Clarity, Snowflake helix (AWS), Banner, Oracle, and other healthcare systems into departmental SQL Server databases for analytics and reporting.
• Lead the development of interactive dashboards and custom reports using SSRS, Power BI, and other BI tools to support department leadership, researchers, and clinicians.
• Create, enhance, and maintain secure, scalable, and user-friendly internal web applications using ASP.NET Web Forms, ASP.NET Core MVC, C#, SQL Server, and related Microsoft technologies. Lead application modernization initiatives by migrating legacy ASP.NET Web Forms applications to the latest .NET Core MVC platform, collaborating with IT infrastructure, database, and cloud teams to support web servers, database servers, and enterprise system integrations.
• Apply statistical, machine learning, and AI techniques (e.g., regression, decision trees, neural networks) for clinical prediction models and operational insights.
• Leverage AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, or similar technologies) to improve software development, documentation, automation, and analytics workflows.
• Automate data pipelines and recurring reports using tools such as SSIS and SSRS to improve efficiency and reliability.
• Ensure high standards of data integrity, governance, security and compliance across all analytics workflows.
• Collaborate closely with cross-functional teams including physicians, researchers, finance, IT, and clinical operations to align data solutions with institutional needs.
• Provide data support for academic research projects, including cohort identification, clinical outcome analysis, and data visualization.
• Document data systems, architecture, and custom applications to ensure long-term scalability and knowledge continuity.
• Engage with Vice Chair for Clinical Trials and Learning Health Systems to advance learning health system mission of the Department of Medicine
• Manages a team of data scientists including hiring, mentoring and performance; manages team to develop and implement machine learning and AI-driven solutions to support advanced clinical analytics and decision-making.
• Perform other duties as assigned

QUALIFICATIONS

• 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, and 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, and, and 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.

Salary Verbiage

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine 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.

Minimum Salary Range

USD $120,000.00/Yr.

Maximum Salary Range

USD $150,000.00/Yr.

ABOUT US

The Senior Data Design and Analytics Manager plays a pivotal role in leading the development, optimization, and oversight of data systems that drive clinical, research, and operational initiatives within the Department of Medicine. 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.