Senior Data Design and Analytics Manager

Einstein

New York (NY)

On-site

USD 120,000 - 150,000

Full time

6 days ago
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Job summary

Albert Einstein College of Medicine seeks a Senior Data Design and Analytics Manager to lead data systems development, optimization, and governance across clinical, research, and operational domains.

The role manages a team of data scientists, implements ML and AI-driven solutions, and drives enterprise-grade dashboards using Power BI and SSRS on a secure Azure-based platform.

Qualifications

  • Bachelor’s or Master’s degree in a related field or equivalent work experience.
  • Minimum 5 years of experience in solution architecture, BI, data analytics, and enterprise application development in healthcare/academic settings.
  • Strong skills in SQL Server, T-SQL, Python, C#, ASP.NET MVC/.NET Core, JavaScript, SSIS, SSRS, and Power BI.

Responsibilities

  • Design scalable data infrastructure and end-to-end data workflows.
  • Develop secure internal web applications and dashboards for clinical analytics.
  • Lead ML/AI model development for clinical and operational insights.
  • Collaborate with cross-functional teams to align data solutions with institutional needs.

Skills

SQL Server
T-SQL
Python
C#
ASP.NET MVC/.NET Core
Power BI

Education

Bachelor’s or Master’s degree in Computer Science/Information Systems/Healthcare Informatics

Tools

SSIS
SSRS
Azure DevOps
Epic Clarity

Job description

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.

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.
Additional Information

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.

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