Lakewood, CO · On-site
Role name: Lead Architect - AI & Telecom Transformation Work Location: USA (Denver) Colorado Start date: Immediate availability. Job Type: Contract (C2C/W2) Interview: Phone/Video Role and ...
Lakewood, CO · On-site
Role name: Lead Architect - AI & Telecom Transformation Work Location: USA (Denver) Colorado Start date: Immediate availability. Job Type: Contract (C2C/W2) Interview: Phone/Video Role and ...
| Aspect | Pddn | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or associate degree in a related field | Bachelor's degree in statistics, mathematics, or related field |
| Work Environment | Office settings, data processing centers | Office environments, often collaborating with various departments |
| Employer & Industry Usage | Used in logistics, manufacturing, and supply chain sectors | Common across finance, marketing, healthcare, and tech industries |
| Common Search & Comparison | Often compared for entry-level data roles | Compared for analytical and data processing positions |
The main difference between Pddn and Data Analyst lies in their typical educational requirements and industry usage. Pddn roles are more focused on data processing with a diploma or associate degree, mainly in logistics or manufacturing. Data Analysts usually hold a bachelor's degree and work across diverse industries analyzing data to support decision-making. Both roles involve working with data, but their scope and industry focus differ significantly.
For Pddn jobs in Colorado, the most frequently searched job titles are:
The top searched job categories for Pddn jobs in Colorado are:
Cities in Colorado with the most Pddn job openings:
Lakewood, CO • On-site
Contractor
Posted 6 days ago
Role name: Lead Architect - AI & Telecom Transformation
Work Location: USA (Denver) Colorado
Start date: Immediate availability.
Job Type: Contract (C2C/W2)
Interview: Phone/Video
Role and responsibilities:
We are looking for a customer-facing Lead Architect to drive Agentic AI-driven telecom transformation programs (large scale NOC / SOC / Operations, etc.), leading customer workshops, shaping solution roadmaps, defining AWS-based architectures and advising business, technology and executive stakeholders.
Key Responsibilities
Serve as the primary onsite Lead Architect for Agentic AI-driven telecom transformation across NOC, SOC, network operations, service assurance and incident management domains.
Lead customer workshops and discovery sessions to assess current-state NOC/SOC operating models, alarm flows, ticket lifecycles, triage processes, escalation paths and operational pain points.
Define Agentic AI-driven solution architectures for alarm correlation, event deduplication, anomaly detection, root-cause analysis, incident enrichment, ticket automation and closed-loop remediation.
Drive operational transformation outcomes including MTTR reduction, alert-noise suppression, faster triage, improved fault isolation, proactive incident prevention and better customer experience.
Translate network and operations challenges into scalable architectures spanning OSS, service assurance, observability, telemetry, ITSM, knowledge management and automation platforms.
Design integration patterns for alarms, events, incidents, topology, inventory, logs, metrics, traces and operational knowledge across telecom NOC/SOC ecosystems.
Partner with AWS, customer network teams, operations teams and engineering stakeholders to design secure, scalable and cloud-native Agentic AI telecom platforms.
Develop NOC/SOC transformation roadmaps, target-state operating models, automation backlogs, use-case prioritization and phased implementation strategies.
Lead solutioning, PoCs, end-to-end technical delivery and executive presentations focused on operational efficiency, service reliability, network resilience and measurable business outcomes.
Provide architecture governance across onsite and offshore teams, ensuring operational use cases are aligned with telecom processes, data quality, integration feasibility and production-readiness.
Collaborate closely with Offshore teams, business, network, security, operations, product and engineering stakeholders throughout the transformation lifecycle.
Mentor architects and technical teams on Agentic AI-driven telecom patterns, NOC/SOC automation design, observability-led operations and architecture best practices.
All your information will be kept confidential according to EEO guidelines.
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It services
11 - 50 Employees
Fremont, CA, US
2004