Data Manager

New York City/ Hybrid
September 2022
Full time, Regular, Exempt
Reports to
Senior Research Associate/Data Manager

Founded in 1968, the Guttmacher Institute is a global leader in advancing sexual and reproductive health and rights. Through a unique and interrelated program of high-quality research, evidence-based advocacy and strategic communications, the Institute works to generate new ideas, encourage enlightened public debate, and promote sound policy and program development; its overarching goal is to ensure the highest standard of sexual and reproductive health and rights for all people worldwide. The Institute is engaged in building a more inclusive, transparent and equitable organization.

Position summary

The Data Manager (DM) is responsible for providing expertise and support for the Research Division’s data acquisition, storage, management, analysis, archiving and IT functions. Reporting to the Senior Data Manager, the DM works with a broad range of individuals within the division and across divisions to ensure data integrity and that project management milestones are achieved. The Data Manager ensures that our work is high quality, mission aligned, and can drive the change in sexual and reproductive health and rights field we endeavor to see in partnership with the communities most affected. 

Technical Responsibilities and Oversight:

  • Support data management, programming and analyses functions; 
  • Perform simple to complex analyses and tabulations using a range of data files to support a range of domestic and international research projects;
  • Perform advanced data management tasks, including processing large datasets with complex sample designs, merging data files, preparing national demographic and social science datasets for analyses, and transposing and restructuring data files; 
  • Support fielding staff in the optimal use of data collection programs (e.g., Qualtrics) to expedite data processing and management;
  • Develop efficiencies in the analysis pipeline by developing standard centralized programming for commonly used datasets;
  • Serve as a liaison in cross-divisional communications on data related issues; 
  • Support the identification, selection, troubleshooting, and licensing management of software related to data management, programming, analyses, and computational reproducibility;
  • Assist in proposal development by providing information on available data sources; 
  • Support version control processes (e.g., Git);

Data Management Core  

  • Work in collaboration with other Research Cores, the Research Administration Team, and senior management to prioritize data management and information needs;
  • Develop and implement process improvements in data management core operations;
  • Maintain relationships with research project leads to identify data management needs, process gaps, or areas for improvement;
  • Oversee archiving of project materials in consultation with project managers;
  • Maintain and document Guttmacher’s historical collection of survey data and project files.

Data Management Training and Quality Monitoring

  • Support the ongoing transformation of our data management and programming systems and processes and establish protocols under the direction of the Data Management and  Computational Reproducibility Cores;
  • Ensure continuous improvement in data management best practices and documentation;
  • Provide staff trainings, skill maintenance and continuing education in data management, programming, and analyses;
  • Create technical training manuals for staff to ensure computational reproducibility (e.g., programmatic export of tables and figures), consistency in programming approaches, and statistical best practices;
  • Manage response to external requests for Guttmacher data, monitor and track outcomes of data sharing;
  • Perform other job-related duties as requested.

Qualifications and skills

Skills and demonstrated experience with the core responsibilities is valued over the type of degree(s) or a specific number of years of experience.

  • Competitive candidates will likely possess a minimum of 5 - 7 years of work experience as a data manager and data management trainer, or a bachelor’s degree in a related discipline and 5 years of progressively responsible related work experience, or a Master’s degree in a relevant field (e.g., data science, statistics, biostatistics, epidemiology, infomatics) and a minimum of 3 years of progressively responsible related work experience.
  • Demonstrated high level of experience in data management using a range of software programs and documentation is required.
  • Advanced proficiency cleaning and coding survey data using Stata and/ or  R required.   Some experience with Stata preferred.
  • Knowledge of survey design, weighting and sampling and experience processing large domestic and international datasets (NSFG, U.S. Census and Natality, DHS, MICS) desirable.
  • Proficiency with statistical programming is required and familiarity with SQL desirable.
  • Experience with Markdown for creating technical training manuals is desirable.
    • Ability to rapidly learn new advancements in the field plus a strong commitment to supporting staff professional development.
    • Ability to write technical documentation and training manuals in clear, user-friendly language.                             
    • Experience working with large teams across multiple projects.
    • Excellent communication skills including oral, written, and interpersonal skills.
    • Demonstrated ability to successfully engage with diverse teams.
  • Professionalism and ability to work efficiently and independently.
  • Ability to plan ahead, prioritize competing demands, anticipate needs and solve problems.
  • Excellent organizational and management skills.
  • Provide consistently accurate work.
  • Commitment to advancing diversity, equity and inclusion.
  • Experience in the sexual and reproductive health field a plus.
Salary and benefits

Salary starting at $92,000 and will commensurate with experience.  Excellent benefits that include medical, dental, vision and life insurance; vacation, personal and sick time, paid parental leave; tuition reimbursement; commuting subsidy; and 401(k) with employer match. The Guttmacher Institute strives to provide the training and support staff need to be successful in their positions and to grow professionally.  

Please note that telephone inquiries will not be acknowledged. No agencies, please.

The Guttmacher Institute seeks to foster a diverse, inclusive, and equitable environment, where every employee’s unique talents are valued and recognized as an asset to the achievement of our mission.


How to Apply

To apply, submit resume and cover letter here.

Please note that telephone inquiries will not be acknowledged. No agencies, please.

Guttmacher is an Equal Employment Opportunity employer  

The Guttmacher Institute seeks to foster a diverse, inclusive and equitable work environment, where employees’ talents are valued and recognized as an asset to the achievement of our mission. We endeavor to make the application process accessible to all users. If you need assistance learning about or applying to our employment opportunities, please contact our human resources department at (212) 248-1111 or [email protected].