Senior Manager, Data Analytics - OIT at Emory University

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Project Management, Business Intelligence, Data Management, Healthcare Data, Cloud Analytics, Data Governance, Agile Methodologies, ETL Processes, Data Mapping, Technical Standards, Metadata Maintenance, Collaboration, Research Data Management, Biomedical Informatics, Emerging Technologies

Industry

Higher Education

Description

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description This position leads highly complex technical teams that may include Business Analysts, Project Managers, Information Architects, Data Analysts, and Database Administrators. KEY RESPONSIBILITIES: Oversees projects to deliver quality applications and components within scope, on time, and within budget and compliance requirements. Ensures that informatics systems support and advance the research objectives and mission of the department. Proactively identifies emerging technologies, develops proof-of-concepts, and promotes the adoption of these technologies. Develops new subject areas in business intelligence tools based on physical data sources and user requirements. Creates strategies for managing and maintaining data standards and metadata. Applies biomedical informatics standards, methodologies, and principles to meet research program needs, objectives, and outcomes. Forms tactical strategies to meet client goals and develops reporting infrastructure to support multiple client needs. Produces architecture documentation for current and proposed informatics solutions. Establishes collaborative relationships with subject matter experts and becomes an expert in assigned data sets. Follows standard operating procedures and HIPAA regulations. Develops standard operating procedures related to technical standards and data quality. Develops strategies for managing complex data sets through consistent data standards and metadata maintenance. Creates standard templates for data product documentation related to current and future data analytics solutions. Performs other related duties as required. MINIMUM QUALIFICATIONS: A Bachelor's degree and seven years of related experience, OR an equivalent combination of education, training, and experience. IT experience in a healthcare or university setting is preferred. Experience in designing data management solutions within a variety of system environments. Technical certification is preferred. PREFERRED QUALIFICATIONS: Knowledge of clinical research data, EHR systems, or neuroscience/brain health datasets, certification in Epic Cogito preferred, but not required. Experience in an academic medical center or research setting with understanding of healthcare data governance and regulatory frameworks for research. Experience with OMOP Common Data Model (CDM) and data mapping - including mapping from source systems to OMOP standardized vocabularies, ETL processes for OMOP transformation, and experience with USAGI tool for vocabulary mapping preferred. Research data request management - experience coordinating and fulfilling data requests from researchers, managing data access approvals, and facilitating collaborative research data sharing. Experience with cloud analytics and data warehouse platforms such as AWS, Microsoft Azure, Snowflake, or similar. Experience with CI/CD, version control (Git), and agile methodologies, including Jira NOTE: Tasks related to this position can be performed remotely with only occasional visits to an Emory University location. Eastern (EST) time zone business hours may apply. Emory reserves the right to change this status with notice to employee. Emory does not approve as a primary work location in the following states; NJ, AK, and HI, any U.S. Territories or outside of the United States. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Responsibilities

This position leads complex technical teams to oversee projects that deliver quality applications and components. It also involves developing strategies for managing data standards and producing architecture documentation for informatics solutions.