IoT Data Solutions Lead

WilioT Ltd

Plano (TX)

Hybrid

USD 110,000 - 160,000

Full time

42 hours ago
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Job summary

Wiliot is seeking a Data Solutions Team Lead to guide data initiatives across customer deployments. You will monitor, analyze, and improve data quality and performance, working with cross-functional teams to deliver meaningful outcomes.

The role combines data, operations, and product mindsets in a customer-facing capacity, requiring strong analytics and leadership to drive successful IoT deployments.

Qualifications

  • Masters or Doctorate in Math, CS, data science/engineering or equivalent analytical degree.

Responsibilities

  • Work closely with customers as part of ongoing projects and deployments.
  • Monitor real-time data streams and system performance across customer environments.
  • Analyze data to identify trends, gaps, and anomalies in performance and data quality.
  • Investigate issues and perform root cause analysis (e.g. data collection issues, tag placement, configuration gaps, integration).
  • Translate data into clear, actionable insights for both customers and internal teams.
  • Build dashboards and visualizations to communicate system performance and business impact.
  • Partner with FDE, Product, and Engineering teams to improve solutions and close gaps.
  • Escalate product or data issues and collaborate with internal teams to drive resolution.
  • Guide customers and field teams on best practices to improve deployment performance and data quality.

Skills

Python
Spark
Data analysis
SQL
Visualization
Communication

Education

Master's or Doctorate in Math, CS, data science/engineering

Tools

Plotly
Tableau
PowerBI
Grafana
SQL
InfluxDB

Job description

Wiliot is seeking a Data Solutions Team Lead to guide data initiatives across customer deployments. You will monitor, analyze, and improve data quality and performance, working with cross-functional teams to deliver meaningful outcomes.

The role combines data, operations, and product mindsets in a customer-facing capacity, requiring strong analytics and leadership to drive successful IoT deployments.

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