Data Management Director manages the planning, designing, and developing of an organization's databases. Develops policies and procedures to lead and manage a team of database engineers. Being a Data Management Director designs and modifies procedures to ensure the performance, scalability, and security of databases. Monitors and optimizes database performance to ensure efficient data retrieval and processing. Additionally, Data Management Director evaluates existing database design to determine necessary updates and collaborates with stakeholders to determine future organizational needs. Requires a bachelor's degree. Typically reports to a director. The Data Management Director typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. To be a Data Management Director typically requires 3+ years of managerial experience. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. (Copyright 2024 Salary.com)
To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day.
The Yale/Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE) is a leading national outcomes research center dedicated to transforming healthcare for the betterment of people and society by leveraging data, analytics, and technology. We have assembled a talented, multidisciplinary group who are committed to developing solutions to the practical needs of medicine and healthcare. Our organization combines the highest academic ideals with a pragmatic approach that emphasizes the production of useful knowledge. We are distinguished by our creativity, dedication, experience, and skills, and our commitment to having our work make a tangible difference to patients, the public, and society. For additional information on CORE, please visit our website: www.medicine.yale.edu/core The Associate Director, Data Management and Analytics (DM&A), is responsible for managing and growing a team of professional statisticians and data managers in developing and implementing strategies to support the analytic needs of CORE grants and contracts. Reporting to the Director, Healthcare Analytics, this individual provides direction on statistical analyses performed by the team, by modeling workflow, terminology, business rules and specification of technology requirements utilized in research. Also uses knowledge of statistical theory, health services research, technical skills, including broader and business operations, to make recommendations to bring best practices to CORE projects, champions high standards and cutting-edge analytic approaches, and assists with shaping COREs capabilities toward future work, talents, and clients. Functions at a high level in a multi-disciplinary team environment, is a problem solver and strong communicator, and demonstrates leadership. The list of accountabilities is not intended to be all-inclusive and may be expanded to include other duties that management may deem necessary from time to time. The duties of this position can be carried out remotely if this meets the business need of CORE. Flexible work schedules and telecommuting are available if needed and /or desired.
EEO/AA/Disability/Veteran
EDUCATION
Master of Science in statistics, biostatistics or bioinformatics required. Doctorate in statistics, biostatistics or related field preferred.
EXPERIENCE
5 to 7 years of experience in statistical analysis of health outcomes research data required and prior experience managing/supervising/mentoring a group of data analysts. Proficiency in key statistical techniques (predictive modeling such as linear regression, logistic regression, Poisson regression and survival analysis, design of experiments, hierarchical modeling, Bayesian analysis, Machine learning methods, and other advanced statistical techniques) required. Proficient in SAS and R programming and in analysis of large clinical and administrative claims databases required. Extensive experience with Centers for Medicare and Medicaid Service (CMS) administrative claims data and big data analytics preferred. Hands-on experience with clinical data preferred. Experience working with strict timelines and deliverables on government contracts preferred. Other experience includes demonstrated technical experience, excellent writing and verbal communication skills, and demonstrated competencies in analytical skills. Prior management and mentorship experience. Demonstrated experience collaborating with other government contractors or independent non-government agencies that support outcomes measure work preferred.
LICENSURE
N/A
SPECIAL SKILLS
Advanced statistics, SAS and R Programming skills. Demonstrated managerial/supervisory, and strong communication skills along with a portfolio of demonstrated technical experience.
PHYSICAL DEMAND
N/A
Position is co-terminus with funding and fully funded by our grants and contracts.