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Director – Network Optimization & Automation

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: AT&T
Full Time position
Listed on 2026-03-06
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Director – Network Performance Optimization & Automation

Role Overview

The Director – Network Performance Optimization & Automation is a senior wireless engineering leader responsible for improving network performance and customer experience through data-driven optimization, rigorous field trials, and scalable automation. This role leads a large, nationally distributed engineering organization that overlays local markets—driving consistent performance standards while enabling region-specific tuning based on RF conditions, device mix, and traffic behaviors. Working in close partnership with RAN engineering, RF performance, architecture, operations, and vendor partners, this leader develops and executes a multi-year roadmap focused on: (1) optimizing existing network configurations, (2) ensuring performance excellence through major RAN modernization/vendor transitions, and (3) building automation and algorithms that continuously fine-tune the network s role is based in Dallas TX or Atlanta GA requiring in-office presence 5 days/week.

Relocation assistance is available for qualified candidates.

Key Responsibilities RAN Performance Strategy & Leadership
  • Build and lead a high-performing RAN performance engineering organization with strong technical rigor and an engineering-first mindset.
  • Define and execute a national performance roadmap aligned to customer experience outcomes and measurable KPI improvement.
  • Establish operating mechanisms (cadences, governance, escalation paths, standards) that drive repeatable execution across all markets.
Network Optimization, Field Trials & Technical Studies
  • Lead end-to-end optimization initiatives across LTE/5G  improve key outcomes (e.g., accessibility, retainability, mobility robustness, throughput, latency).
  • Design and execute field trials and technical studies to validate new features, parameter strategies, and optimization approaches; translate findings into scalable playbooks.
  • Identify chronic/systemic performance issues, determine root causes, and drive durable corrective actions across markets.
Modernization / Vendor Transition Performance Oversight
  • Own the performance strategy and KPI assurance plan for large-scale RAN modernization efforts, ensuring stability and continuous improvement before, during, and after cutovers.
  • Partner with engineering and vendor teams to evaluate feature behavior, configuration baselines, and rollout sequencing to mitigate risk and maximize outcomes.
  • Develop performance acceptance criteria, scorecards, and go/no-go readiness checkpoints.
Automation, Algorithms & Continuous Tuning
  • Lead development of automation and algorithmic optimization (e.g., closed-loop tuning concepts, policy-based optimization, model-driven parameter strategies).
  • Ensure algorithms are configurable and adaptable to regional conditions and market-level differences.
  • Drive instrumentation and measurement strategies that connect network changes to KPI movement and customer experience impact.
Stakeholder Engagement & Collaboration
  • Partner across national engineering teams, local market organizations, operations, and vendor partners to align priorities and accelerate execution.
  • Communicate performance progress, risks, tradeoffs, and recommendations to leadership in clear, decision-ready narratives.
  • Support annual planning and investment prioritization by quantifying expected KPI impact, effort, and operational considerations.
Talent Management & Culture
  • Lead, mentor, and develop a large, multi-layer engineering organization (including managers and senior engineers).
  • Foster a culture of curiosity, innovation, accountability, and disciplined engineering execution.
Required Qualifications
  • 10+ years of progressive experience in wireless RAN engineering, with significant depth in LTE/5G performance and optimization.
  • Demonstrated success leading large, distributed engineering organizations, including managers-of-managers.
  • Strong experience with field trials/studies, feature validation, and translating results into production network standards.
  • Proven ability to drive measurable KPI improvement through parameter tuning, feature strategy, and systemic root-cause remediation.
  • Experience leading performance outcomes through major RAN modernization…
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