Associate Director Data Science

Verizon Verizon · Telecom · Temple Terrace, FL +2

Associate Director to lead Network Planning & Forecasting functions within the Network AI team. This role will govern foundational network capabilities driving CapEx strategy, lead a specialized engineering team to drive network coverage prediction, automate compliance reporting, execute network capacity forecasting, and accelerate AI-driven anomaly detection and remediation. The role requires architectural oversight, product delivery management, and translating business strategy into technical direction.

What you'd actually do

  1. Leading and mentoring a highly specialized team of software engineers, developers, and testers.
  2. Providing architectural oversight and technical direction for Predictive, AI-driven capacity/coverage modeling and proactive anomaly detection.
  3. Managing end-to-end product delivery for Network Planning & Forecasting platforms, owning the backlog, feature prioritization, release planning, and ensuring on-time delivery within budget.
  4. Translating business strategy into technical direction, proactively aligning technology initiatives to overarching business goals.
  5. Leveraging deep experience in data analytics, forecasting, product development, systems engineering, and IT management to guide development and deployment.

Skills

Required

  • Bachelor's degree or four or more years of work experience
  • Eight or more years of relevant experience
  • telecom data domain specialist

Nice to have

  • Knowledge in AI/ML development, data management, maintain policy & compliance.
  • Experience with developing using Python, Google BigQuery, Forecasting & Prediction models.
  • Extensive experience in telecommunications, network systems engineering, capacity forecasting, or AI/Data product management.
  • Proven experience leading and managing senior technical staff (e.g., Principal or Distinguished Engineers) and highly autonomous teams.
  • Deep understanding of Geospatial data modeling, Forecasting & Prediction process.
  • Strong executive presentation skills with a track record of aligning technology initiatives to overarching business strategies.
  • Knowledge in the area of workflow automation and task management.
  • Experience in managing an onshore-offshore delivery model.
  • Experience with enterprise application development, large databases, reporting systems, data analytics, AI/ML solutions, timeseries data forecasting.
  • Experience with managing data & AI/Ml solutions on cloud.
  • Knowledge of quantitative and qualitative data analysis.
  • Experience developing and supporting high availability systems and disaster recovery.
  • Knowledge of self-serve analytic tools for business users.

What the JD emphasized

  • AI/ML development
  • forecasting
  • AI/Data product management
  • AI/ML solutions
  • timeseries data forecasting

Other signals

  • AI-driven anomaly detection
  • AI-driven capacity/coverage modeling
  • AI/ML solutions
  • forecasting
  • network planning