Scheduled Hours

37.5

Position Summary

Reporting to the Executive Director, Networks and Innovation, the Director, Data Management and Analytics will define overall data management strategy, oversee design, implementation and maintenance of data and create annual work plans for IRN shared data services with metrics.

Job Description

• Defines the overall data management strategy for the Innovation Research Networks, including data governance policies, data quality standards, and data architecture to ensure data integrity and accessibility. Works closely with IRN co-directors to understand their data needs and align data analytics initiatives with IRN research objectives. Ensures compliance with data privacy regulations and establishes processes to manage data access and security. Designs and delivers training programs and resources to facilitate a culture of mutual understanding and compliance across the IRNs.
• Oversees the design, implementation, and maintenance of data warehouses, data lakes, and other data storage systems. Leads IRN-wide data-related projects from initiation to completion, including budgeting, resource allocation, and project timelines.
• Prepares annual workplans for IRN shared data services, with milestones, metrics and associated budgets. Tracks and analyzes project metrics for evaluation and provides recommendations for improvements/efficiencies in the delivery of IRN shared data services.
• Promotes a culture of high performance and continuous improvement. Establishes and monitors staff performance and professional development goals, conducts annual performance appraisals as required. Convenes and leads weekly meetings with data management, analytics and visualization core staff to align across all tasks, tracks status, develops/reassesses timelines and prioritizes activities.
• Prepares quarterly progress/status reports for the Executive Director, Networks and Innovation and co-directors of each IRN, and other reports and presentations as required.
• Performs other duties as assigned.

Working Conditions:
Job Location/Working Conditions

• Normal office environment
• Work Location: 4300 Duncan Avenue, St. Louis MO (as of 7/1/25)
• Ability to travel to various on- and off-campus locations

Physical Effort

• Typically working at desk or table
• Repetitive wrist, hand or finger movement

Equipment

• Office equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Master's degree

Certifications:

No specific certification is required for this position.

Work Experience:

Relevant Experience (8 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

Required Qualifications:

• Master's degree in Computer Science, Statistics, Engineering, Applied Mathematics, Information Technology or a related field.
• Eight years of managerial experience in data management and analytics.

Preferred Qualifications:

• Ten years’ or more experience working with multi-disciplinary research teams in a research-intensive university setting.
• Experience working in public health research highly desirable.
• Experience identifying and executing fit-for-purposes cloud-based data solutions using technologies like AWS, Azure, Data Bricks, Snowflake, or other AI/ML platforms like Dataiku.
• Understands best practices across data lakes, data warehouses and data analytics.
• Excellent interpersonal skills, both in-person and virtually.
• Ability to be effective in a fast-paced environment and to meet deadlines.
• Ability to multitask, prioritize changing needs and work under pressure.
• Ability to exercise a high degree of autonomy, using strategic skills in staff planning, initiative, and problem-solving.
• Demonstrated ability to develop alliances and coordinate shared interests of all parties.
• Excellent oral and written communication skills.
• Ability to work with different constituencies in the university and external public and private organizations.

Preferred Qualifications

Education:

No additional education beyond what is stated in the Required Qualifications section.

Certifications:

No additional certification beyond what is stated in the Required Qualifications section.

Work Experience:

No additional work experience beyond what is stated in the Required Qualifications section.

Skills:

Applied Mathematics, Computer Science, Data Analysis, Data Analysis Management, Data Analytics, Database Analytics, Data Engineering, Data Mining, Data Modeling, Data Science, Data Solutions, Data Visualization, Engineering Studies, Information Technology (IT), Public Health Research, Research Process, Statistics

Grade

G16

Salary Range

$96,000.00 - $169,300.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

• Up to 22 days of vacation, 10 recognized holidays, and sick time.

• Competitive health insurance packages with priority appointments and lower copays/coinsurance.

• Take advantage of our free Metro transit U-Pass for eligible employees.

• WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

• We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.

• WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO/AA Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.