Tech Writer

Technical Writer

Required Skills & Experience-3+ years of experience as a Technical Writer within IT, networking, cloud, or engineering environments -Hands-on experience with diagramming tools (Visio, Lucidchart, Draw.io) for process mapping -Ability to drive efficiencies using the data processes identified -Experience creating and maintaining documentation in Confluence/Jira, including structuring pages and content -Exceptional ability to translate complex technical concepts into clear, concise documentation for varied audiences

Nice to Have Skills & Experience-Experience working in Agile or Scrum environments -Familiarity with Jira, GitHub, or other ticketing/version control systems -Strong understanding of networking fundamentals (routing, switching, firewalls) -Experience with automation and infrastructure tooling (e.g., Ansible, Terraform, CI/CD pipelines) -Draw.IO experience to create a decision matrixs -GitHub experience

Job Description

Insight Global is seeking a Technical Writer to support a network-focused program by driving end-to-end process documentation, standardization, and data consolidation efforts. This role goes beyond traditional documentation—serving as a process strategist responsible for organizing fragmented data, defining workflows, and enabling a centralized "single source of truth." The ideal candidate is tech-savvy, analytical, and proactive, capable of working across engineering and program teams to document, validate, and operationalize scalable processes that are ultimately AI-ready and measurable.

Key Responsibilities include:

Process Documentation & Standardization -Inventory and document 30+ high-level network and operational processes, prioritizing top processes based on business impact -Create and maintain Standard Operating Procedures (SOPs) including clear ownership, inputs/outputs, and step-by-step workflows -Ensure every process is documented with who, what, when, where, and measurable outcomes -Identify gaps where processes or SOPs do not exist and build documentation from scratch

Data Consolidation & Source of Truth

-Consolidate fragmented process data across tools into a centralized, unified documentation repository -Validate and connect data across systems (e.g., Jira, Confluence, GitHub, Slack) to ensure consistency and accuracy -Map where documentation, file transfers, and records live and standardize access points -Enable traceability across processes, documentation, and data storage locations

Process Mapping & Workflow Optimization

-Translate complex workflows into clear process maps and decision trees -Ensure programs and teams are aligned to and actively referencing standardized processes -Identify opportunities to streamline workflows and improve efficiency using technology and data insights

Stakeholder Collaboration & Delivery

-Partner with network engineers, program leads, and SMEs to gather inputs and validate documentation -Conduct interviews and working sessions to extract process knowledge and undocumented workflows -Drive alignment on priorities, pilot programs, and process maturity levels

Training, Adoption & Governance

-Roll out standardized documentation and processes across teams -Train stakeholders on new workflows and documentation standards -Establish governance for ongoing updates, version control, and process ownership

Day-to-Day Responsibilities include:

-Gather and analyze existing documentation, templates, and workflows -Conduct gap analysis to identify missing or incomplete processes -Build documentation and process maps for prioritized initiatives -Support roadmap prioritization with program leadership -Facilitate stakeholder interviews and working sessions -Publish finalized documentation and lead enablement/training sessions

Success Milestones -First 30 Days Build a comprehensive inventory of processes and documentation Engage stakeholders to understand workflows and pain points Define process maturity levels (high / medium / low) Partner with leadership to create a prioritized roadmap

-Post first 30 days: Execute documentation and standardization efforts across prioritized processes Continuously interview, document, organize, and train Deliver a centralized, scalable process framework that supports AI-readiness and data-driven insights