Technical Project Manager (H/F) (Project Management)

About VertiGIS VertiGIS builds powerful GIS software that helps organizations design, manage, and operate complex networks and infrastructure. Our products enhance leading mapping platforms, most notably Esri’s ArcGIS, and are used globally by telecommunications operators, utilities, and public sector organizations.

Within VertiGIS, the Telecommunications Business Unit focuses on enabling fiber and telecom operators to plan, document, and operate their networks more efficiently. Our flagship telco product, ConnectMaster, supports the full network lifecycle across planning, design, documentation, and operations.

We offer challenging and meaningful careers in a collaborative, international environment. We are looking for an experienced Project Manager to lead the successful implementations, migrations, and optimizations of VertiGIS Telco Solutions. This role will be responsible for managing end-to-end project delivery, coordinating cross-functional teams, and ensuring alignment between business stakeholders and technical teams.

The ideal candidate brings a strong background in data migration, GIS systems, telecom infrastructure, or enterprise asset management platforms, along with proven technical and project leadership experience.

Lead full lifecycle implementation projects, including planning, execution, monitoring, and delivery.
Serve as the primary liaison between business stakeholders, technical teams, and third-party vendors.
Develop and manage project plans, timelines, budgets, and resource allocations.
Coordinate data migration activities, including data mapping, transformation logic, validation, reconciliation, and cutover planning.
Oversee integration & implementation efforts across systems, including:
GIS platforms
ETL pipelines and data transformation frameworks
APIs, middleware, and external enterprise systems
Partner with technical leads to define solution architecture, data flows, and system interfaces.
Ensure alignment between Customer (project management) and VertiGIS (technical delivery) teams or equivalent stakeholders.
Manage risks, issues, and dependencies, with proactive mitigation strategies.
Facilitate UAT, testing cycles (SIT/UAT), and go-live readiness.
Establish and track KPIs (schedule adherence, data quality, system performance, etc.).
Ensure proper documentation, governance, and change management processes are followed.
Support post-go-live stabilization, performance tuning, and continuous improvement initiatives.

Technical Capability Expectations
Data models (relational, geospatial, and asset-based models)
FME, SSIS, or similar)
Experience with GIS platforms, ESRI ArcGIS ecosystem (ArcGIS Pro, ArcGIS Enterprise, Feature Services)
Familiarity with spatial data concepts (topology, coordinate systems, geodatabases)
Understanding of telecom or utility network data structures (fiber, circuits, outside plant, network hierarchies)
Exposure to cloud platforms (Azure, AWS) and deployment models is a plus
Ability to create and\or interpret SQL queries, data transformations, and data validation scripts
Experience working with data quality frameworks, reconciliation reporting, and audit controls

• Bachelor’s degree in Information Systems, Engineering, Business, or related field.
• 5+ years of experience in project management, preferably in telecom, utilities, or GIS environments.
• PMP, and/or Agile/Scrum certification.
• Proven experience delivering data migration and system implementation projects.
• Data migration strategies and reconciliation processes
• GIS systems (e.g., ETL processes and data integration

Experience managing cross-functional and distributed teams.
Proficiency with project management tools (e.g., MS Project, Jira, Smartsheet).
Excellent communication, stakeholder management, and leadership skills.
Experience with VertiGIS products or similar asset/network management platforms
Familiarity with telecom network data (outside plant, fiber, infrastructure assets)
Ability to manage complex data and technical dependencies
High attention to detail, especially in data quality and validation