Job summary
This hybrid GeoSpatial Senior Analyst MAP role focuses on advanced geospatial data analysis and solution design using artificial intelligence data orchestration and robust API integrations to build accurate scalable mapping products. The role requires six to ten years of experience working in agile and scrum environments applying data modeling practices and programming expertise in C plus plus and Roku SDK while ensuring secure connectivity through telnet. The analyst will collaborate wit
Responsibilities
Design comprehensive geospatial data solutions that transform complex spatial information into clear mapping products enabling business teams to make informed strategic decisions that positively impact communities and digital services.Lead end to end data orchestration workflows that integrate multiple geospatial and non geospatial data sources ensuring that mapping outputs remain accurate consistent and timely for a wide range of business and societal use cases.Develop robust application components using C plus plus with a focus on performance and stability supporting high volume geospatial data processing and responsive interfaces that enhance customer mapping experiences.Apply artificial intelligence techniques to geospatial datasets to detect patterns forecast trends and generate actionable insights that improve service reliability resource allocation and operational efficiency across the organization.Implement and maintain secure and efficient connectivity solutions using telnet where appropriate supporting data exchange and system monitoring for geospatial platforms while adhering to stringent security and compliance standards.Collaborate within agile and scrum teams to plan sprints refine backlogs and deliver incremental geospatial features ensuring that mapping capabilities evolve rapidly in line with product priorities and user feedback.Design and document scalable API integrations that expose geospatial services and mapping functionalities to internal and external applications enabling seamless interoperability and expanding the reach of spatial insights across products.Build and maintain data modeling structures tailored for geospatial information including spatial relationships and temporal attributes to support advanced analytics optimized queries and reliable reporting for decision makers.Contribute to Roku SDK based solutions by integrating geospatial features and location driven content into streaming experiences improving the relevance and personalization of services offered to diverse audiences.Establish and maintain rigorous data quality standards for all geospatial assets overseeing validation checks anomaly detection and continuous improvement practices that strengthen trust in mapping outputs company wide.Provide clear technical guidance and documentation to stakeholders on geospatial tools APIs data models and artificial intelligence workflows enabling teams across the organization to leverage spatial insights effectively.Coordinate with product operations and analytics stakeholders in the hybrid work model to prioritize mapping requirements resolve technical challenges and ensure that geospatial capabilities align with broader company goals and societal impact.Optimize geospatial processing pipelines for day shift operations with no travel requirement ensuring reliable system performance timely delivery of mapping updates and minimal disruption to customers who depend on accurate spatial information.
Qualifications
Possess six to ten years of progressive experience as a geospatial or data analyst working with complex spatial datasets delivering production ready mapping solutions that support critical business decisions and social outcomes.Demonstrate strong proficiency in agile and scrum practices including sprint planning story refinement and iterative delivery ensuring that geospatial features are shipped on schedule and continuously improved through feedback.Show deep hands on expertise in artificial intelligence applied to geospatial data including model development evaluation and deployment with a focus on solving real world spatial problems and enhancing predictive capabilities.Exhibit advanced skills in data orchestration and data modeling designing resilient pipelines and well structured schemas that support geospatial analytics reporting and long term data governance objectives.Bring practical experience in building performant components in C plus plus and working with Roku SDK creating responsive and reliable features that integrate geospatial content into broader digital products.Demonstrate working knowledge of API design and integration for geospatial services including authentication error handling and scalability considerations to ensure secure and dependable access to spatial data.Show familiarity with telnet and related connectivity practices in controlled environments enabling secure diagnostics data transfer or system monitoring tasks that support geospatial platforms.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
