Data Solutions Team Lead

Wiliot; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Wiliot is seeking a Data Solutions Team Lead to guide delivery teams in real‑world IoT deployments. You will monitor data quality, drive analytics, and empower customers with insights through dashboards and visualizations.

You will work across cross-functional teams in a hybrid Dallas-based role, leveraging your expertise in Python, Spark, and data warehousing to optimize data systems and customer outcomes.

Qualifications

• Master's/Doctorate in Math, CS, data science or equivalent.
• 3–5+ years in data analysis or customer-facing roles.
• People or project management experience.
• Big data, data warehousing, operational analytics and integration.
• Strong Python skills; Spark preferred.
• Visualization tools: Plotly/Tableau/Power BI/Grafana.
• SQL and time-series DB familiarity (InfluxDB a plus).
• Excellent analytical and communication abilities.

Responsibilities

• Work closely with customers on deployments and projects.
• Monitor real-time data streams and system performance.
• Analyze data to identify trends, gaps and anomalies.
• Investigate issues and perform root-cause analysis.
• Translate data into actionable insights for customers and internal teams.
• Build dashboards to communicate performance and impact.
• Collaborate with FDE, Product, and Engineering to improve solutions.
• Escalate data or product issues and drive resolution.
• Guide customers and field teams on deployment best practices.

Skills

Python

Spark

SQL

Data visualization

Dashboarding

Stakeholder communication

Project management

IoT data

Education

Master's or PhD in Math/CS/Data Science

Tools

Plotly

Tableau

Power BI

Grafana

InfluxDB

Job description

Data Solutions Team Lead

• Dallas

Description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

We are growing fast and need people that want to be part of the journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Thing”.

About the Role

We are looking for a Data Solutions Analyst to join our delivery teams and work closely with customers on real-world IoT deployments.

In this role, you will be responsible for monitoring, analyzing, and improving the quality and performance of data generated from customer environments. You will work as part of cross-functional Scrum teams, partnering with customers, product, and engineering to ensure successful deployments and meaningful data outcomes.

This is a highly customer-facing, hands‑on role that sits at the intersection of data, operations, and product.

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 issues)
• 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

Requirements

• Masters or Doctorate degree in Math, CS, data science/engineering or equivalent analytical degree
• 3–5+ years of experience in data analysis, technical customer-facing roles, or similar
• People management or project management
• Architecture experience in big data, data warehousing, operational analytics and integration.
• Optimize the performance of big data systems to design and implement efficient analytics algorithms.
• Strong Python skills
• Experience with SPARK strongly preferred.
• Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)
• Understanding of statistical analysis and relational database structures (SQL, Influxdb a plus)
• Strong analytical and quantitative problem-solving abilities
• Excellent interpersonal and communication skills
• Ability to be self-sufficient and execute quickly when given autonomy
• Experience with IoT data streams and business context a plus
• Flexible team player who will thrive in a dynamic, constantly evolving environment

#LI-Hybrid