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Gis Program Coordinator / It Project Manager Resume

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SUMMARY:

  • Geographic Information Systems and Project Management professional wif over 15 years of experience.
  • Demonstrated proficiency in senior technical roles and in higher profile ones such as project and operations management, project life cycle management, team leading and guidance, and coordinating wif all stakeholders.
  • Industries: information technology, water utilities, location analytics, health analytics, natural resources analysis.
  • Highly organized, high attention to detail, and to product quality.
  • Effective communication wif stakeholders (clients, different levels of management, software developers, and business analysts).
  • Proven expertise in organizing different knowledge groups to tackle software development projects and tasks.
  • Proven leadership expertise across different technical fields, through foresting of teamwork, collaboration, and communication.

PROFESSIONAL EXPERIENCE:

Confidential

GIS Program Coordinator / IT Project Manager

Responsibilities:

  • Managed projects and provided subject matter expertise for several GIS web mapping application projects, involving applications critical for the company. Managed and led workflow automation software implementation project integrated to onlinepayments. Drafted reports and reported periodically to Project
  • Management Office (PMO), Chief InformationOfficer, and stakeholders about projects progress and needs. Carried out the GIS Section Manager functions as needed. Coordinated periodically wif IT GIS Section Manager on progress, priorities, delegation, and resources for the GIS Program activities. Delineated and proposed organizational structure for future workflow automation section. Led geo - analytical projects and critical operations integrating different technologies such as assetmanagement and customer services wif GIS. Led design, planning, and implementation of large GIS high availability (HA) Portal-
  • ArcGISenterprise server infrastructure for the entire company. Coordinated wif IT managers, PMO, clients, stakeholders, vendors, and consultants. Led GIS based web application product development for internal and public use. Designed and developed production-level backend spatial and non-spatial data analysis to supportweb applications using Python, Oracle, and ArcGIS. Represented WSSC Water frequently at professional conferences as speaker. Supervised 4 contractors. Mentored and led 4 employees.

Confidential

IT Project Manager / GIS Analyst

Responsibilities:

  • Program manager for statewide centralized authoritative address data management projects. Collaborated and coordinated, as Point of Contact, wif US Census Bureau programs (Geographic Support System Initiative, Local Update of Census Addresses). Managed product development for GIS data analysis of
  • GIS - based products based on requirements of First Responders Network (FirstNet) and Broadband Coverage programs. Developed business case, business requirements, and business plans for implementation of Geo-Analytics and Master Address Database programs wif attention to enterprise governance and institutional goals.
  • Designed and developed automation workflows in Python to intake GIS data from NC counties for standardization, and consolidation, reducing dramatically the time to product deployment. Supervised team of 4 GIS analysts and database developers for statewide authoritative addresspoints consolidation project. Coordinated and performed outreach to local governments for data exchange to support statewide data consolidation.

Confidential

GIS Analyst and Researcher

Responsibilities:

  • Researched, developed and applied spatial analysis and statistical methods for cancer surveillance and epidemiology for the Central Cancer Registry ArcGIS Enterprise
  • MS SQL Server, and Oracle. Designed, developed, and maintained a medical providers database for organizational use.
  • Designed and developed programming modules and user interfaces for data entry, quality control of geocoding and other spatial analysis processes using SAS, R, Python and PostgreSQL/Postgis.

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