Senior GIS Professional, AI Enablement

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Job Profile Summary:

The Senior GIS Professional, working under limited supervision, is responsible for providing complex support relating to GIS to the business, consisting of development and maintenance of GIS solutions, incorporating innovative techniques and map theory. The role also helps lead the GIS team's adoption of artificial intelligence, identifying and guiding practical AI and automation use cases that improve geospatial workflows, data quality, and decision-making. The role develops and implements specialized spatial models using GIS tools and applications, allowing for the simulation and prediction of real-world scenarios and outcomes. The role implements quality control processes to uphold the accuracy and reliability of geospatial data and addresses complex discrepancies and provides timely resolutions. The role is pivotal in the implementation and optimization of geospatial solutions, including managing and analyzing spatial data, creating detailed maps and visualizations, and collaborating with cross-functional teams to support decision-making processes.

Job Description:

• Helps lead the GIS team's AI strategy by identifying, prototyping, and implementing AI, machine learning, and automation use cases (such as automated data quality checks, feature extraction, and AI-assisted analysis and development) that improve the efficiency and quality of geospatial work.

• Establishes responsible AI practices for GIS, including guidance on data governance, security, validation of AI outputs, and appropriate use under company policy.

• Enables GIS staff and business users, including citizen developers, to apply AI tools and automation in their work through mentoring, training, and shared standards.

• Acts as a GIS point of contact for various enterprise application integration support, creates and maintains enterprise map services and web applications, and partners with the business to solution new data, analyses, and technologies.

• Develops innovative ideas and improvements for work processes and system capabilities related to GIS, carries out intermediate geoprocessing and workflow automation tasks, and provides end user training and support for GIS data and tools.

• Uses programming languages to interact with GIS software and geospatial databases and specializes in the use of software for analyzing data in geospatial environments.

• Works closely with enterprise staff to ensure data integrity and accurate map representation and supports in the development, customization, and optimization of GIS applications and tools.

• Researches and retrieves supporting basemap data from the internet, acts as a technical

resource for all GIS staff, serves as a key player in project development efforts, and teaches workshops explaining the use of web mapping and other GIS processes.

• Uses knowledge of data models to find solutions for management, develops new techniques for streamlining existing processes, performs quality control, and works closely with records to improve representation of the organization's data.

• Works under limited supervision, leads concurrent GIS projects, mentors less-experienced professionals, and initiates change, driving improvements within the discipline.

• Conducts complex spatial analyses and modeling to derive actionable insights for decision-making and utilizes advanced geospatial techniques to address specific challenges for the organization.

• Implements and enforces data governance policies to ensure the quality, integrity, and security of geospatial data and conducts regular audits and validation processes to maintain data quality standards.

• Stays abreast of industry trends and emerging technologies in GIS and geospatial analytics and leads initiatives to integrate innovative solutions that enhance the organization's geospatial capabilities.

Education:

• Bachelor's degree in Geographic Information Science, Computer Science, Geomatics Engineering, or a related discipline is preferred. Commensurate work experience will be considered in lieu of a degree.

Experience:

• 5+ years of relevant experience preferably in areas such as Geospatial Data Management, Remote Sensing Applications, Cartography, Seismic Data Analysis or a related field. Industry experience is preferred. • Experience applying AI, machine learning, or automation to geospatial workflows is preferred.

Certifications:

• GIS Professional (GISP) (preferred)

• Geospatial Intelligence Certification (preferred)

Competencies:

• Stakeholder Relationships

• Oral & Written Communication

• Results Oriented

• Active Learning

• Digital Literacy

Skills:

• Data Management/ETL

• Mapping and Visualization

• Geospatial Analysis

• Knowledge of Coordinate Systems, Projections, Transformations

• GIS Software Proficiency

• SQL Skills

• Process Implementation

• Scripting

• AI and Automation for Geospatial Workflows

Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.

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