The Portfolio Strategy & GIS Manager combines geospatial analytics, business intelligence, and commercial real estate strategy to support data-driven portfolio decisions. This role develops mapping, reporting, and analytics solutions; leads portfolio planning and location strategy; and translates complex business, market, and real estate data into clear, actionable recommendations for clients and account teams. Job Description
Job Description Summary
As a Portfolio Strategy & GIS Manager, you will combine geospatial analytics with portfolio strategy to help account teams, business partners, transaction managers, and clients make better decisions across complex real estate portfolios. You will design, develop, and maintain mapping, data, analytics, and reporting solutions while also supporting portfolio planning, portfolio optimization, location strategy, real estate decision-making, and the development of client strategy documents, including Plans of Record (PORs), Practical Plans, and Business Unit Plans.
This role bridges GIS and location intelligence, business analytics, and portfolio strategy. You will work directly with business partners, transaction managers, brokers, account leaders, and client stakeholders to understand business needs, assess portfolio implications, and translate requirements into clear analysis, mapping, recommendations, and reusable solutions. The role requires someone who can move comfortably between technical delivery and client-facing strategic conversations.
The successful candidate combines strong GIS experience with commercial real estate judgment, business acumen, executive-ready communication, and a practical ability to turn complex information into actionable portfolio plans.
This role will primarily:
Develop and maintain geospatial, reporting, and analytics solutions that improve visibility into portfolio performance, business demand, market conditions, workplace trends, operational metrics, and business outcomes.
Prepare and contribute to client strategy documents, including Plans of Record (PORs), Practical Plans, Business Unit Plans, business reviews, portfolio plans, scenario assessments, and client-ready presentations that connect location intelligence with recommended actions.
Transform, validate, and manage data from multiple sources to support portfolio intelligence, strategy development, forecasting, scenario analysis, and decision support.
Partner with business partners, transaction managers, brokers, account teams, and client stakeholders to understand business requirements, portfolio priorities, timing, constraints, and decision criteria.
Support portfolio planning, location strategy, occupancy analysis, workplace strategy, and transaction decision-making through maps, scenarios, financial and market inputs, and clear strategic recommendations.
Identify opportunities to improve efficiency through automation, standardization, and adoption of emerging technologies, including AI-enabled tools, while supporting the continued evolution of PAG's strategy, analytics, reporting, and geospatial capabilities.
Success in this role looks like:
Stakeholders trust the maps, data, analysis, and recommendations used to support business and real estate decisions.
Portfolio strategy and mapping are connected in a consistent, scalable process from business need through recommendation and execution planning.
Business partners, transaction managers, and account leaders receive clear, timely analysis and practical recommendations they can act on.
Analytics and geospatial solutions become integrated into standard account operations, Plans of Record, portfolio reviews, and decision-making.
Stakeholders use reporting, analytics, and geospatial solutions to support portfolio planning, occupancy strategy, location decisions, transaction priorities, operational performance, and workplace initiatives.
Key Responsibilities
Develop client-ready maps, dashboards, presentations, and reporting solutions that support portfolio performance, portfolio planning, workplace strategy, occupancy trends, operational efficiency, and service delivery using ArcGIS, Power BI, Looker, Tableau, or similar platforms.
Support the development and maintenance of client strategy documents, including Plans of Record (PORs), Practical Plans, Business Unit Plans, portfolio plans, site strategies, business cases, presentation materials, user training, documentation, and continuous improvement efforts.
Build and maintain data pipelines, transformation processes, and data models that support mapping, analytics, portfolio planning, and reporting solutions, with Databricks experience strongly preferred.
Integrate data from internal systems, client platforms, commercial real estate technologies, and external sources.
Develop and maintain ArcGIS Online environments, maps, dashboards, and geospatial data products that support location intelligence, market analysis, portfolio optimization, workplace planning, transaction strategy, and client decision-making.
Identify opportunities to automate repetitive reporting, data preparation, and operational processes.
Leverage AI-enabled tools to improve productivity, accelerate development, and enhance analytics capabilities.
Lead and support working sessions with business partners, transaction managers, brokers, account teams, and clients to understand business needs, test scenarios, align assumptions, and clarify portfolio priorities.
Synthesize technical, market, portfolio, and business information into concise recommendations for both technical and non-technical audiences, including executive and client-facing stakeholders.
Support the development and maintenance of client strategy documents, including Plans of Record (PORs), Practical Plans, Business Unit Plans, portfolio plans, site strategies, business cases, presentation materials, user training, documentation, and continuous improvement efforts.
Qualifications
Must-Have Requirements
3-7 years of experience in GIS, geospatial analytics, commercial real estate strategy, portfolio planning, business analytics, consulting, or a related field, with demonstrated strength in geospatial delivery.
Experience developing maps, dashboards, reporting solutions, presentations, and analytical products used by business and client stakeholders.
Demonstrated ArcGIS expertise, including hands-on experience with ArcGIS Online, ESRI products, spatial data management, web maps, dashboards, and geospatial analysis.
Strong Excel and data analytics skills, including the ability to structure, validate, analyze, and communicate complex portfolio and real estate data; Power Query and Power BI experience is preferred.
Experience preparing, integrating, validating, and maintaining spatial and business data from multiple sources; experience with modern cloud analytics platforms such as Databricks is strongly preferred.
Strong problem-solving, analytical thinking, spatial reasoning, and data interpretation skills, with the ability to connect findings to real estate strategy and recommended actions.
Experience gathering requirements and working directly with business partners, transaction teams, client stakeholders, or senior account leaders.
Ability to translate business requirements into maps, scenarios, technical solutions, portfolio strategies, and clear client-ready recommendations.
Excellent written, verbal, facilitation, presentation, and client-facing communication skills.
Preferred Experience
Experience with Databricks, Delta Lake, Unity Catalog, or modern cloud-based analytics platforms.
Experience using Python for analytics, automation, reporting, or workflow development.
Experience supporting commercial real estate, corporate real estate, portfolio planning, location strategy, transaction management, workplace strategy, occupancy management, facilities management, or related business functions.
Experience partnering with business leaders and transaction teams to develop practical portfolio recommendations, sequencing, and implementation plans.
Experience developing client strategy documents such as Plans of Record (PORs), Practical Plans, Business Unit Plans, portfolio plans, site strategies, market assessments, scenario analyses, business cases, or executive-level real estate recommendations.
Experience within consulting, professional services, or client-facing environments, with confidence facilitating discussions and presenting recommendations.
Experience leveraging AI-enabled tools such as Microsoft Copilot, Claude, Gemini, ChatGPT, or similar technologies.
Experience working with enterprise reporting, operational analytics, portfolio analytics, workplace analytics, or business performance management.
Technology & Tools
Microsoft Office Suite required, including advanced Excel skills and strong data analytics capabilities, plus proficiency in PowerPoint and Word.
Google Workspace (Sheets, Docs, Slides) strongly preferred.
Power Query and Power BI are preferred; experience with Looker, Tableau, or similar analytics platforms is also beneficial.
SQL and relational database technologies.
Databricks and cloud analytics platforms strongly preferred.
Python or similar scripting languages preferred.
ArcGIS Online and ESRI geospatial technologies required; demonstrated expertise developing and maintaining maps, dashboards, spatial datasets, and location intelligence products.
Commercial real estate, transaction management, workplace, occupancy, facilities, scenario planning, or portfolio management technologies preferred.
AI-enabled productivity and analytics tools preferred.
Capabilities Business problem solving, spatial reasoning, and analytical thinking.
Data storytelling, mapping, visualization, and executive-ready presentation development.
Technical translation, client facilitation, and stakeholder communication.
Commercial real estate, portfolio strategy, and business operations acumen.
Process improvement and automation mindset.
Curiosity and continuous learning.
Collaboration across business partners, transaction managers, brokers, clients, and technical teams.
Project organization and prioritization.
Ability to manage multiple priorities in a fast-paced environment.
Continuous improvement mindset focused on scalability, consistency, and measurable business impact.
Education
Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Geography/GIS, Engineering, Mathematics, Real Estate, Finance, Economics, or a related field preferred. Equivalent experience may be considered.
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate’s experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 127,500.00 - $150,000.00Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email . Please refer to the job title and job location when you contact us.
INCO: “Cushman & Wakefield” Originally posted on Himalayas