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Position Summary

The Senior Manager of Data Science - GIS (Geographic Information Systems) will play a key role in developing and implementing data-driven geospatial strategies to support the Real Estate team’s business objectives. This role requires expertise in GIS, spatial analytics, and automation techniques to drive innovation, enhance decision-making, and provide actionable insights. The ideal candidate will collaborate with cross-functional teams to build predictive models, optimize site selection, and deliver high-impact geospatial solutions.

What You’ll Do

Geospatial Analytics & Technical Problem-Solving

1. Participate in GIS and geospatial analytics initiatives, leveraging automation and advanced spatial modeling.
2. Develop and implement geospatial data strategies that align with business goals.
3. Analyze complex problems, challenge assumptions, and identify root causes using spatial data science techniques.
4. Recommend and implement technology solutions to enhance GIS capabilities.
5. Define key performance metrics and quantify the business impact of geospatial initiatives.

Data Acquisition & Management

1. Identify and integrate geospatial data sources to support real estate and business intelligence needs.
2. Expertise in Esri ArcGIS Pro, SQL, and other geospatial tools to manage and analyze spatial datasets.
3. Perform spatial data processing and validation for accurate decision-making.

Business & Real Estate Insights

1. Support real estate portfolio management with geospatial analytics and location intelligence.
2. Apply GIS methodologies for site selection, market research, and trade area analysis.
3. Collaborate across departments (product, finance, marketing, sales, technology) to translate business requirements into geospatial projects and solutions.
4. Evaluate business cases and develop data-driven recommendations for site expansion, relocation, and optimization.

GIS Strategy & Innovation

1. Drive enterprise GIS strategy, ensuring scalability, accessibility, and integration with business intelligence systems.
2. Optimize geospatial data ecosystems, emphasizing data management, quality, governance, and storage.
3. Influence data strategy across business functions, implementing innovative GIS applications and dashboards.
4. Develop interactive spatial tools, predictive models, and advanced mapping solutions to enhance business decision-making.

Development

1. Analyze business objectives and customer needs to develop GIS solutions that drive strategic growth.
2. Foster a culture of innovation, ethics, and data-driven decision-making.
3. Build and maintain strong internal and external partnerships to advance geospatial capabilities.

What You’ll Bring

1. Expertise in Geospatial Data Science, including statistical modeling, spatial analysis, machine learning, and AI-driven GIS applications.
2. Proven ability to develop, manage, and implement high-impact GIS projects that drive business transformation.
3. Experience integrating GIS with business intelligence (BI) tools, real-time tracking systems, and enterprise databases.
4. Strong technical acumen in geospatial data management, including big data processing, and cloud-based GIS solutions.
5. Ability to communicate complex spatial insights to non-technical stakeholders and influence strategic decision-making.

While not required, the ideal candidate will have experience with:

1. Esri Business Analyst – Market research, trade area modeling, and site selection.
2. Experience Builder – Development of interactive geospatial applications.
3. ArcGIS Dashboards – Real-time tracking and visualization of key performance indicators.
4. ArcGIS Pro – Advanced spatial analytics, geoprocessing, and mapping.

Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

1. Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
2. MMasters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
3. 7 years' experience in an analytics or related field.

Preferred Qualifications

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

1. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
2. Successful completion of one or more assessments in Python, Spark, Scala, or R.
3. Supervisory experience.
4. Using open source frameworks (for example, scikit learn, tensorflow, torch).
5. We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Primary Location

1901 Se 10Th Street, Bentonville, AR 72716-0001, United States of America