Key Responsibilities and Required Skills for Urban Research Manager
💰 $70,000 - $110,000
🎯 Role Definition
The Urban Research Manager leads applied research and analysis to inform city planning, housing, transportation, economic development, and public policy decisions. This role designs and executes mixed-methods studies, administers spatial and statistical analyses, manages research staff and external partners, and converts evidence into actionable policy recommendations, reports, dashboards, and community-facing communications. The Urban Research Manager balances technical rigor (GIS, statistics, data management) with stakeholder engagement and grant/project administration to deliver timely, equitable, and policy-relevant insights.
📈 Career Progression
Typical Career Path
Entry Point From:
- Research Analyst or Research Associate (urban policy, housing, transportation)
- Urban Planner / Junior Planner with research responsibilities
- Policy Analyst within municipal government or a think tank
Advancement To:
- Director of Urban Research or Head of Research & Evaluation
- Chief Planner / Head of Policy and Planning
- Senior Program Director (housing, mobility, community development)
Lateral Moves:
- Data Science Manager (urban analytics)
- GIS Manager or Spatial Data Lead
- Community Engagement or Policy Communications Lead
Core Responsibilities
Primary Functions
- Define and lead the research agenda for urban policy initiatives, translating strategic priorities into annual research plans, deliverables, timelines, and evaluation criteria that inform city planning and program decisions.
- Design and manage mixed-methods studies (quantitative, qualitative, spatial) to evaluate policy impacts—developing study protocols, sampling strategies, survey instruments, interview guides, and data collection plans that prioritize equity and representativeness.
- Lead complex spatial analyses using ArcGIS, QGIS, spatial econometrics, and geoprocessing workflows to map accessibility, land use change, service areas, urban heat islands, displacement risk, and other place-based outcomes.
- Conduct advanced statistical and econometric analyses (regression, causal inference, difference-in-differences, propensity scores, time-series) to quantify program effects and forecast urban trends, using R, Python, or Stata.
- Oversee the design, administration, and analysis of surveys and community feedback mechanisms (online, phone, in-person) including questionnaire development, sampling, quality control, and weighting.
- Manage data architecture and governance for research projects—including building and maintaining spatial and tabular datasets, metadata standards, data cleaning pipelines, and documentation to ensure reproducibility and compliance with privacy requirements.
- Produce high-quality policy briefs, technical reports, peer-reviewed articles, and executive summaries that synthesize research findings into clear recommendations for policymakers and practitioners.
- Create interactive dashboards and data visualizations (Tableau, Power BI, D3.js, R Shiny) to surface KPIs, track program performance, and enable non-technical stakeholders to explore data and scenarios.
- Supervise, mentor, and develop a small team of research staff, analysts, GIS specialists, and interns—assigning tasks, reviewing work products, setting goals, and managing performance reviews.
- Coordinate interdisciplinary teams and external partners (universities, consultants, community organizations) to deliver collaborative research while ensuring methodological consistency and timely outputs.
- Develop and manage project budgets, workplans, contracts, and grant proposals—tracking expenditures, reporting milestones, and ensuring deliverables meet funder and organizational requirements.
- Lead stakeholder engagement and knowledge mobilization—presenting evidence to city councils, advisory committees, community groups, and funders; facilitating workshops and co-design sessions to incorporate lived experience into research design.
- Implement program evaluation frameworks and logic models to measure short-, medium-, and long-term outcomes of urban interventions and track progress against strategic goals and equity objectives.
- Ensure ethical research conduct and regulatory compliance, including Institutional Review Board (IRB) oversight, informed consent protocols, and secure handling of personally identifiable information (PII).
- Translate research findings into implementable policy recommendations, option analyses, and business cases that include fiscal implications, equity impacts, and recommended implementation pathways.
- Lead rapid-response analyses and scenario modeling during crises (e.g., housing shocks, transit disruptions, public health emergencies) to provide timely guidance to decision-makers.
- Develop and apply spatial and non-spatial machine learning or predictive models where appropriate to forecast demand, detect patterns of segregation, or identify priority investment areas.
- Facilitate cross-departmental data sharing, interoperability, and standards—working with IT and data teams to integrate municipal data sources, APIs, and open data platforms.
- Curate and present public-facing research outputs—blog posts, media briefings, infographics, and slide decks—to increase transparency and public understanding of urban issues.
- Track academic and practitioner literature, best practices, and emerging tools in urban analytics to continuously evolve methodologies and maintain subject-matter expertise.
- Design and implement monitoring & evaluation (M&E) systems for pilot programs, including KPIs, data collection schedules, and regular reporting cycles to inform adaptive management.
- Foster inclusive research practices—prioritizing participatory methods, language access, culturally responsive data collection, and equitable representation of marginalized communities in study design and dissemination.
Secondary Functions
- Support ad-hoc data requests and exploratory analyses to inform rapid decision-making and internal planning processes.
- Contribute to the organization’s data strategy and roadmap, recommending tools, workflows, and capacity-building priorities.
- Collaborate with program, policy, and communications teams to translate research outputs into operational plans and stakeholder-facing materials.
- Participate in procurement, vendor management, and contract oversight for external consultants and academic partners.
- Provide training and best-practice guidance on research methods, GIS, and data visualization to internal teams and partner organizations.
- Maintain and update internal knowledge repositories, code libraries, and reproducible analysis templates for cross-team reuse.
Required Skills & Competencies
Hard Skills (Technical)
- Advanced quantitative analysis and statistical modeling (R, Python, Stata, SAS)
- Spatial analysis and GIS proficiency (ArcGIS, QGIS, spatial joins, geocoding, raster/vector analysis)
- Survey design and implementation (questionnaire design, sampling, weighting, online survey platforms)
- Database and data engineering fundamentals (SQL, relational databases, data cleaning pipelines)
- Data visualization and dashboarding (Tableau, Power BI, R Shiny, D3.js) with strong design judgment
- Program evaluation methodologies (logic models, theory of change, M&E frameworks)
- Econometrics and causal inference techniques (difference-in-differences, instrumental variables, panel models)
- Experience with qualitative analysis (thematic coding, NVivo/Atlas.ti, interview and focus group facilitation)
- Project and grant management (budgeting, grant writing, reporting, contract administration)
- Familiarity with data privacy, ethics, and IRB processes; secure handling of PII
- Machine learning or predictive modeling experience (scikit-learn, caret, TensorFlow preferred but not required)
- Knowledge of urban planning, housing policy, transportation systems, or community development practices
Soft Skills
- Strong written and verbal communication—able to translate technical findings into compelling, actionable narratives for diverse audiences
- Stakeholder engagement and facilitation—skilled at building trust with community groups, government officials, and research partners
- Leadership and people management—coaching, delegating, and developing junior staff
- Strategic thinking and problem-solving—prioritizing research investments with an outcomes orientation
- Project management and organization—delivering complex multi-stakeholder projects on time and on budget
- Attention to detail and quality assurance—ensuring methodological rigor and reproducibility
- Equity-centered practice—demonstrated cultural competency and commitment to inclusive research
- Adaptability and resilience—managing shifting priorities and responding to time-sensitive policy needs
- Collaboration and cross-functional teamwork—working effectively across technical and non-technical groups
- Presentation and storytelling—confident public speaker and visual storyteller
Education & Experience
Educational Background
Minimum Education:
- Bachelor’s degree in Urban Planning, Geography, Public Policy, Economics, Statistics, Sociology, Data Science, or related field.
Preferred Education:
- Master’s degree or PhD in Urban Planning, Urban Studies, Public Policy, Geography, City & Regional Planning, Data Science, or a closely related discipline.
Relevant Fields of Study:
- Urban Planning / Urban Studies
- Geography / GIS / Spatial Science
- Public Policy / Public Administration
- Economics / Econometrics
- Data Science / Statistics / Applied Mathematics
- Sociology / Community Development
Experience Requirements
Typical Experience Range: 5–8 years of relevant professional experience in urban research, policy analysis, GIS, or program evaluation.
Preferred:
- 7+ years managing applied urban research projects, supervising teams, or leading evaluations for municipal governments, regional agencies, academic centers, or non-profit research organizations.
- Demonstrated track record securing and managing grants or contracts, publishing applied research, and translating evidence into policy or program change.
- Practical experience working with city datasets (parcel, tax, transit ridership, building permits), and with stakeholders across government, community, and academic sectors.
If you want this tailored into a short job posting, ATS-friendly bulletized requirements, or separated into recruiter and candidate-facing versions, I can generate those variants optimized for SEO and LLM parsing.