Senior Data Officer

Ewing Marion Kauffman Foundation; Kansas City (MO); On-site; USD 120,000 - 150,000; Full time

Job summary

Ewing Marion Kauffman Foundation seeks a Senior Data Officer to implement data strategy and translate data insights into policy and program impact. You will collaborate with the Research, Learning, and Evaluation team and Foundation associates to advance equitable outcomes through rigorous data analysis.

Responsibilities include managing datasets, building analyses and reports, and guiding data governance while ensuring GDPR and FERPA compliance. Based in Kansas City, MO with potential travel.

Qualifications

• Bachelor’s or master’s degree in applied data science, computer information systems, or computer science with data science knowledge.
• Data science or CS training or certification preferred.

Responsibilities

• Analyze existing datasets and recommend data deliverables aligned with strategic priorities and data quality.
• Build relationships with local professionals in institutional research, school accountability, and related areas.
• Recommend data management approaches to inform citywide learning and measure impact.
• Gather community feedback to identify data needs and adjust data agenda accordingly.
• Track ad-hoc data requests and propose new data products addressing recurring needs.
• Advise on AI and automation tools to improve reporting and efficiency across the Foundation.
• Ensure compliance with GDPR, FERPA, PII, and CPA in data practices.

Skills

Data analysis

Communication

Project management

SQL

Python

R

Tableau

Power BI

Excel

Git

Education

Bachelor’s or Master’s in data science, CIS, or CS with data science knowledge

Data science training or certification

Tools

SQL

Python

R

Tableau

Power BI

Git

AWS cloud

Job description

RESPONSIBILITIES
Reporting directly to the Director of Research, the Senior Data Officer (SDO), implements data strategy as developed in partnership with the Research, Learning, and Evaluation (RLE) team, and operationalizes data analysis to inform policy and local activities. This role works closely and collaborates with other RLE team members and Foundation associates, in alignment with the Foundation’s mission, vision, and strategic priorities.

Specific Responsibilities Include:

• Analyze existing datasets held or licensed by the Foundation and recommend data deliverables while considering: 1) fit with the
• Foundation’s strategic priorities and research agenda, 2) sustainability, 3) data quality, 4) rigor, and 5) data justice.
• In partnership with RLE leadership, build strong relationships with local professionals who do “best-practice” work in institutional research, school accountability, assessment, school attendance and engagement, community data, business licensing, or others who are aligned with our strategic priorities.
• Recommend data management approaches that inform citywide learning and measure impact.
• Regularly gather community feedback related to the Foundation’s research and data agenda to identify emerging and ongoing data needs and make adjustments based on this input.
• Track ad-hoc data requests from external stakeholders, identifying themes, and recommending new data products and deliverables that address consistent needs.
• Consult about artificial intelligence and automation tools that improve internal and external reporting, and efficiency. This may include vendor landscape analyses to identify vendors who can advance the Foundation’s research and data practices.
• Support the Foundation’s data strategy and operations while complying with GDPR, FERPA, PII, and CPA standards.

EDUCATION AND EXPERIENCE
Education: Bachelors or master’s degree in applied data science, computer information systems, or computer science with data science knowledge, required or equivalent years of experience. Data science, or computer science training or certification, preferred.

Work Experience: At least five years of progressive experience in data-driven, applied social science activities, including data science, analytics, visualization and consulting across complex organizations.

Travel: This position may require some business travel.

QUALIFICATIONS
Incumbents for this position must be highly motivated, capable of self-direction, and able to work collaboratively in a team. Incumbents must exhibit a keen sense of responsibility and enjoy working with multiple demands, shifting priorities, and constant change.

• Demonstrated passion for advancing equitable and transformative solutions for the communities served by the Foundation, with clear alignment to the Kauffman Foundation’s credo, racial equity, diversity, and inclusion commitments, and strong ethical judgment.
  Familiarity with and interest in the Foundation’s substantive focus areas, such as regional economic development, entrepreneurship, and economic mobility.
• Proven ability to work effectively within and across diverse teams, and with stakeholders at all levels from a wide range of industries and backgrounds.
• Excellent communication skills, including strong interpersonal, written, and listening abilities; able to distill complex ideas into clear, concise, and actionable recommendations.
• Strong analytical, critical thinking, and problem-solving skills; able to translate open-ended questions into clear analytical plans and independently produce high-quality analyses, reports, and presentations.
• Familiarity with industry-standard datasets related to businesses, industries, and employment (e.g. BLS, U.S. Census Bureau, and related federal, state, and local data products, including an understanding of their strengths and limitations.
• Experience addressing common real-world data issues (e.g., coverage gaps, suppression, small cell sizes, data quality) using practical and defensible approaches; ability to apply an equity lens through appropriate disaggregation and contextualizing findings for impacted communities.
• Experience conducting quantitative analyses such as descriptive statistics, exploratory data analysis, predictive modeling, and spatial analysis, and translating findings into accessible visual and written outputs.
• Experience with statistical software, programming languages, and/or business intelligence tools such as R, Python, SQL, and working with APIs; familiarity with cloud environments (e.g., AWS) is a plus.
  Experience building reproducible analytic workflows (e.g., scripted data pulls via APIs reusable code, version control such as Git, and clear documentation) to support ongoing and repeatable analysis.
• Proficiency working with disparate datasets and coordinating data from diverse sources; comfort with database structures, data dictionaries, and data documentation.
• Demonstrated ability to manage multiple projects, prioritize effectively, and meet deadlines, with strong organizational skills, attention to detail, and understanding of project management tools and technology.
• Strong Excel skills (e.g., formulas, statistical analysis, PivotTables) and proficiency with standard productivity tools (e.g., Microsoft Office, Box, Slack); experience with Tableau or Power BI and Salesforce preferred.

NON-DISCRIMINATION
The EMKF provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or any other protected category under applicable law.

Please note that this role is Kansas City, MO based and associates must reside in the Kansas City metropolitan area.