Mount Sinai Hospital

Associate Director of Data Science Analytics

Mount Sinai Hospital$149K — $238K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a relevant field or ASA/FSA Actuarial certification required
  • 10+ years of analytics development experience in healthcare settings
  • 2+ years of experience in a leadership role for analysts or interns
  • Proficiency in data mining tools such as SQL, R, Python
  • Strong familiarity with Business Intelligence tools like Tableau

Responsibilities

  • Collaborate with stakeholders to guide analytics project lifecycles
  • Lead a diverse team on analytics projects and routine reporting
  • Develop staff understanding of population health and related analytics
  • Analyze multiple data sources including claims, clinical, and financial
  • Identify and gather necessary data for reporting and BI needs
  • Create actionable insights through advanced statistical methods
  • Communicate effectively with stakeholders and enhance data quality

Benefits

  • Health, dental, and vision insurance
  • Retirement savings plan with employer match
  • Professional development opportunities
  • Flexible work hours and possible remote work options
  • Generous paid time off and holidays
Full Job Description
Job Description

The Manager of Data Science Analytics collaborates with stakeholders from across the organization and leads a team of analysts to develop sophisticated analytics that provide information, insights, and BI (Business Intelligence) solutions that contribute to sound strategic planning, decision-making, goal setting, and effective performance measurement. The Manager will be a leader in the Population Health Analytics organization and display a focus on the broad mission of MSHP to improve healthcare for our patients and providers.

Responsibilities

  1. Partner with stakeholders from Clinical, Managed Care and/or Commercialization departments who will look to your expertise related to analytics to help drive the end-to-end analytics project lifecycle.
  2. Lead a team of data scientists, analysts, actuaries and other team members on analytics projects and routine reporting.
  3. Help develop staff to better understand population health, specialized risk arrangements, clinical programs, forecasting and financial modeling and performing analysis to inform business decisions.
  4. Analyze issues using enrollment, claims, clinical, medical management, financial and other corporate data, and information from both modeled internal data as well as disparate internal and external sources. Also help staff develop better analysis skills, understanding use cases and their value to the organization.
  5. Work with departmental staff to identify requirements for reporting and / or business intelligence tools.
  6. Identify necessary data, data sources and methodologies.
  7. Collect, organize, integrate, analyze, and interpret data.
  8. Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that you effectively communicate to your stakeholders.
  9. Clearly communicate data issues to the recipients and work to improve data quality where possible within the analytical models you create. Feed data quality issues back to IT or identified data stewards to assist in our quest for high quality data.
  10. Develop and present reports, analyses and findings to senior management and others as scheduled or requested.
  11. Takes a proactive role as lead for internal stakeholders, understands their needs and translates them into reporting and analytic solutions.
  12. Effectively communicates with stakeholders and customers and ensures all requests are properly triaged, recorded and tracked.
  13. Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
  14. Develops and maintains project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies. Tracks and reports progress. Keeps stakeholders apprised of project status and implications for completion.
  15. Prepares clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
  16. Shares development and process knowledge with other managers and analysts to assure redundancy and continuously builds a core of analytical strength within the organization.
  17. Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.
  18. Other duties as assigned


Qualifications

Education Requirements
  • Minimum of a masters degree in a relevant field of study or ASA/FSA Actuarial certification
  • At least ten (10) years of analytics development experience for a health provider, health plan or accountable care organization
  • PhD, ASA/FSA, MD or DO program may be substituted for 3 years of experience
  • At least two (2) years of experience formally or informally leading other analysts or interns to build and deploy analytic deliverables.
  • Strong data mining skills using tools like SQL, R, Python, etc.
  • Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences. Experience with a wide variety of analytical or statistical methods.
  • Strong working knowledge of Business Intelligence products (Tableau)
  • Excellent oral and writing skills; ability to communicate effectively with varying audiences.
  • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, and meet deadlines.
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively.
  • Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing complex techniques or programs in a dynamic environment

Additional Skills and Qualities
  • Knowledge of the New York State Medicaid and CMS Medicare regulations and related reporting requirements, such as STARS, QARR, MMCOR, MEDS, RAPS and HEDIS is a strong plus.
  • Experience working in a health plan or health system highly valuable.
  • Experience working in healthcare provider analytics related to revenue modeling, managed care contracting, population management, case management, clinical or financial decision report

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $149,526.00 - $238,854.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, E01 - Partner MSO Services - MSH, Mount Sinai Hospital

About Mount Sinai Hospital

Mount Sinai Hospital is a hospital network based in New York City. It was founded in 1852 and is one of the oldest and largest teaching hospitals in the United States. The hospital has been ranked among the top hospitals in the country by U.S. News & World Report and is known for its excellence in patient care, research, and education. Mount Sinai Hospital is affiliated with the Icahn School of Medicine at Mount Sinai and has a staff of over 7,000 physicians, nurses, and other healthcare professionals.
Learn more about Mount Sinai Hospital
Size
42,000 employees
Industry
Founded
1997

Similar Jobs

More Jobs at Mount Sinai Hospital

More Healthcare Jobs

Find similar Associate Director of Data Science Analytics jobs: