Senior Data and AI Specialist

Responsibilities

Agentic AI and Workflow Automation

• Architect, test, and deploy LLMs and agents to automate unstructured, multi-step data investigations.
• Build Python-based automated workflows that transform repetitive manual processes into scalable solutions.
• Develop single-user tools and multi-user workflows that improve human efficiency.
• Implement data architecture and AI orchestration frameworks for safety, accuracy, efficiency, and maintainability.

Analytics, Modeling, and Root Cause Analysis

• Query complex telecommunications datasets with SQL and perform multi-step analyses to optimize gross margins, reduce fraud, and improve network quality.
• Design dashboards and repeatable BI solutions using Tableau, Looker, or Python.
• Define KPIs and track performance over time.

Cross-Functional Leadership and Ownership

• Collaborate with Carrier Relations, Enterprise Technology, Product, Supply Operations, and Finance to translate business needs into data requirements and governance standards.
• Communicate insights that directly answer business questions.
• Own data products end to end, from requirements scoping and documentation through execution and delivery.
• Deliver projects on time and to a high standard.

Requirements

• 5+ years of professional experience developing technical data and automation solutions.
• Extensive experience with SQL and relational database schemas.
• Extensive experience with Google Sheets or Excel, Tableau, and/or Looker.
• Experience using Python, APIs, or workflow platforms such as Airtable, Coefficient, Zapier, or n8n to build automated data workflows and process pipelines.
• Experience building agents with tools such as Claude Code, Claude Cowork, OpenAI, or Gemini, and training LLM models to solve complex, multi-step, unstructured problems.
• Strong understanding of data management, governance, and hygiene.

Nice-to-Haves

• Strong written and verbal communication skills.
• Ability to break down business problems into manageable pieces.
• Experience applying technology safely with frameworks and metrics for accuracy, efficiency, maintainability, and safety.
• Familiarity with telecommunications, messaging, and voice networks.
• Experience in SaaS, technology, management consulting, or investment banking.
• Project management experience and the ability to communicate requirements to data teams.
• Experience working with customers, vendors, and external partners.

Compensation and Benefits

• Estimated annual pay ranges from $106,320 to $156,300, depending on eligible geographic location.
• May be eligible for equity and a corporate bonus plan.
• Benefits may include health insurance, a 401(k) retirement account, paid sick time, paid personal time off, paid parental leave, wellness leave, and other programs.
• Remote role; not eligible to be hired in California, Connecticut, New Jersey, New York, Pennsylvania, or Washington.