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The Sr. Marketing Data Specialist will utilize data analysis to drive marketing insights and strategies, manage customer segmentations, and enhance marketing campaigns while collaborating with various teams to ensure data quality and effective communication.

The role involves coordinating internal communications, managing events, creating visual content, and supporting product teams with effective messaging and strategies.

Manage and grow partner relationships with systems integrators and business partners to drive adoption of Esri technology in the natural resources sector. Develop account plans, support partner marketing and sales activities, provide training and on-site support, and execute channel strategies to meet revenue and partnership goals.

Manage and grow partner relationships with systems integrators and business partners in the natural resources sector. Develop account plans, align partner solutions with customer opportunities, support partner marketing and sales activities, provide on-site training and enablement, and drive revenue through channel strategy and account management.

Manage and grow Esri accounts within state and local government. Build relationships, develop account strategies, identify opportunities, present GIS-based solutions, and collaborate internally to deliver customer value. Travel regionally and nationally to support sales and outreach.

Develop and maintain Scala web services, design technical solutions, contribute to code reviews, and assist in AWS deployments for ArcGIS Workflow Manager.

Develop core data management and access frameworks for relational and graph information models in ArcGIS Enterprise. Integrate with relational and NoSQL databases, build full-stack components, collaborate in an Agile Scrum team, and research/extend DBMS support.

Lead product enablement and backlog management for the IST division, translating stakeholder and customer needs into prioritized, actionable work. Coordinate with development, Scrum Master, managers, and leadership to ensure alignment, clear expectations, and timely communication to support high-value delivery.

Lead product management for ArcGIS AI capabilities: define roadmap, gather customer insights, collaborate with engineering/design, manage launches, partner engagement, and ensure responsible AI governance across desktop, web, mobile, and enterprise products.

Support FP&A by building and maintaining financial models, producing performance-to-plan analyses, performing ad hoc and scenario modeling, and delivering management-ready reports and dashboards. Partner with non-financial stakeholders to translate financial results into actionable recommendations and improve reporting through automation and better data structures.