Lead Financial Analyst - AI
EchoStarㅤ: The Finance AI Lead Analyst serves as an internal technical consultant and builder within the Retail Wireless Financial Planning & Analysis (FP&A) organization. Operating at the intersection of Finance, Analytics, and Artificial Intelligence, this role accelerates functional AI adoption and resolves key operational bottlenecks. The position transforms traditional financial modeling by establishing automated anomaly detection, custom GenAI workflows, and predictive analytics that reduce manual auditing effort. Through direct collaboration with FP&A and Data Engineering teams, this role optimizes underlying enterprise data pipelines to drive secure, scalable, and actionable financial insights. Company Summary: EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary: Our investment in the future needs those with an eye on the bottom line, and our Financial organization plays a vital role in supporting our game-changing ideas with creative solutions to complex problems. Team members have the unique opportunity to explore diverse business lines, gaining hands-on experience in various facets of finance, including accounting, audit and supply chain management. Job Duties and Responsibilities: Serve as an internal AI consultant to identify high-value process improvements and design, prototype, and deploy custom solutions using LLMs, AI agents, and machine learning Enhance P&L modeling, recurring variance analysis, rolling forecasts, and strategic scenario planning through advanced automated analytics Automate error checking, data validation, and financial anomaly identification to increase financial model reliability and streamline audit workflows Upskill FP&A team members on prompt engineering and AI agent workflows to elevate team-wide AI literacy while maintaining human-in-the-loop oversight Partner with Data Engineering teams to define business requirements, integrate enterprise pipelines, and ensure AI-generated financial outputs remain secure, accurate, and traceable Skills, Experience and Requirements: AI Application Expertise: Hands-on experience developing and deploying Generative AI models, LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and AI agents Technical Proficiency: Strong skills in SQL and Python for data analysis, financial modeling, and deploying automated analytical workflows Financial Domain Expertise: Deep understanding of core FP&A workflows, P&L modeling, recurring variance analysis, and rolling forecasting Problem-Solving & Innovation: Proven track record of taking AI projects from business problem identification through prototyping, deployment, and user adoption Cross-Functional Collaboration: Ability to build strong consultative partnerships across FP&A stakeholders, Data Engineering teams, and IT Candidates must be willing to participate in at least one in-person interview. Visa sponsorship not available for this position. Minimum Requirements: Minimum Education: Bachelor’s or Master’s degree in Finance, Data Science, or another quantitative field (or equivalent practical experience in financial technology or AI software development) Minimum Experience: 5+ years of experience across FP&A, Financial Analytics, Data Science, or AI Automation roles Required Technical Skills: Must have at least 5 years of experience with: Generative AI models, LLM APIs, prompt engineering, and RAG architectures Python and SQL for data analysis and financial modeling Business Intelligence platforms (e.g., Power BI, Tableau) Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Revi…