Director, Data Strategies

6 days ago

Chicago, United States ECF Data, LLC Full time

Opportunity to define a visionary data agenda that will influence decision making for The Richard L. Duchossois Foundation’s philanthropy for the next decade.

Responsibilities
  • Make working with data easier for everyone who needs it in our organization, including board and staff.
  • Develop a long-term plan that defines the technology, processes, people, and rules required to manage RLDF’s information assets, and establishes a long-term vision for collecting, storing, sharing, and usage of its data.
  • Collaborate with RLDF staff on evaluation and create systems for the seamless flow of data and information throughout the organization in order to inform global-to-granular strategy and decision making.
  • Support overall company success by developing and executing on a vision for extracting value from the data sources RLDF uses in support of its objectives.
  • Continually develop systems and ongoing analyses that add value to RLDF’s core program areas: Strong Families, Veterans and Entrepreneurs.
  • Develop a well-planned data management and analytics plan that allows RLDF to use its information to make informed decisions.

Data Collection & Governance

  • Establish the internal data standards, policies and governance rules that define and control how RLDF data is managed and used.
  • Develop and operationalize a plan to assess what data RLDF should capture, how to consolidate data from numerous sources, collect the data, and manage the data to begin turning it into organizational strategy and action.
  • Create and revise clear and effective data management policies and data documentation to ensure all RLDF staff understand and use data properly, while ensuring these policies comply with all company standards and any applicable laws.
  • Ensure RDLF data is organized and stored as professionally, effectively, and securely as possible.
  • Provide managerial oversight of RDLF’s data.

Data Analytics & Insights

  • Extract pertinent data and build detailed reports for upper management and team members supporting them in their day-to-day duties.
  • Work with the Executive Director and RLDF staff to utilize data to inform organizational and sector-wide strategy.
  • Work with the Executive Director and RLDF staff, Board of Directors, and community stakeholders to apply data to improve the distribution of philanthropic resources in greater Chicago and beyond.
  • Conceptualize, oversee, and manage high-profile data partnership(s) with respected local and national philanthropic and research entities.
  • Prepare and lead frequent public presentations, case studies, and annual reports based on research and quantitative data findings.
  • Serve as an influential connector to continually improve how staff act on RLDF’s data (e.g. predictive analytics, civic innovation and technology, open data, research and evaluation, education economics, public policy, etc.).

Measurement & Evaluation

  • Work with Executive Director and program staff to establish what to measure and evaluate in accordance with the foundation’s own impact goals.
  • Work with program staff to develop a grantee measurement and evaluation methodology that provides grantees agency in identifying their metrics while maintaining accountability to outputs and outcomes.
  • Identify and build all performance and evaluation management systems.
  • Carry out year-over-year assessments on organizational progress against stated goals and report these results to the staff and board.
Skillset
  • Demonstrated success as a results-driven project manager and the ability to multi-task high-stakes projects with multiple players, resources, and deadlines.
  • Familiarity with experimental design, causal analysis and quantitative social science methods.
  • Excellent technology skills preferred, including experience coding in R, Python, or similar language and familiarity with other technology platforms (e.g., GIS, Google tools, Tableau).
  • Deep experience in the collection, secure storage, governance, and analysis of complex data.

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