Associate Conusltant - Federal Civilian

Overview

Working closely with customers, you will assess business needs, recommend strategies, and design solutions that align with their goals and requirements. You will facilitate the delivery of professional services engagements, including enterprise implementations, system migrations, and modernization initiatives. This team supports all aspects of Esri’s federal engagement delivery, with a focus federal civilian agencies. You will be part of a talented cross-functional team of technical consultants, system engineers, software developers, and configuration specialists delivering capabilities that enable our customers to make a difference in communities around the world.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope, and ultimately deliver transformational solutions to high-profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position.

Responsibilities

• Act as a liaison between Professional Services and customers by gathering requirements and translating them into actionable technical work


• Expand Esri technology into new mission areas by contributing to proposals and estimates for emerging opportunities


• Collaborate with technical consultants and subject matter experts to deliver mission-critical customer outcome


• Contribute to the management of project cost, scope, and schedule; track work to ensure timely deliverables


• Build a network of virtual team members across Esri to identify and create best practices for GIS usage

Requirements

• 2+ years of professional experience in a similar position, supporting similar responsibilities


• Professional experience leveraging GIS software capabilities, including mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs


• Demonstrated ability to translate a customer's business goals, objectives, and strategies into technical solutions


• Ability to engage clients, shape strategy, and translate science into geospatial solutions


• Ability to clearly communicate technical ideas to both technical peers and non-technical project managers or customers


• Bring an entrepreneurial mindset and a willingness to learn, with the ability to thrive in a dynamic, cross-functional team environment


• US citizenship


• Bachelor's degree in geography, computer science, Geographic Information Systems (GIS), information systems, earth science, health science, social science, or a STEM-related field

Recommended Qualifications

• Domain knowledge spanning environmental and climate sciences, earth observation, natural resources, health and human services, and related federal mission areas to develop, position, and deliver customer opportunities


• Ability to translate technical concepts into clear, mission aligned insights for both technical and executive audiences


• Ability to connect project work to broader mission outcomes, policy priorities, and emerging trends (such as climate resilience, AI/ML in earth observation, digital twins, sensor networks)


• Experience with ArcGIS, GeoAI, location-based services, geo-enabled apps, spatial analytics, or similar geospatial technology


• Understanding of IT integration concepts such as databases, web services, webhooks, mobile device configurations, web browsers, and IT system architecture concepts


• One or more industry-standard IT certifications (such as Esri, CompTIA, Microsoft, Amazon)


• Certifications applicable to engagements and projects (such as any from the PMI suite, agile/scrum)


• Master's degree in geography, computer science, Geographic Information Systems (GIS), information systems, earth science, health science, social science, or a STEM-related field

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