Jobs at EchoStar

Develop and maintain ticketing and provisioning applications for Customer Experience Operations. Responsibilities include designing APIs, optimizing routing and case management systems, extracting data from SQL Server and AWS Athena, maintaining CI/CD pipelines, documenting technical workflows, and identifying AI automation opportunities. The role requires collaboration with stakeholders and full-lifecycle application development experience.

Lead and develop a team of financial analysts supporting wireless brands and sales channels. Build sophisticated financial models, including NPV, DCF, pro forma P&L, pricing, scenario, and capital investment analyses. Evaluate subscriber economics, promotions, and growth initiatives while partnering with Product, Sales, Marketing, Operations, and Accounting. Present strategic recommendations to senior leadership and use AI-driven tools and financial reporting software to improve analysis and decision-making.

Leads financial analysis and team management focused on subscriber profitability, financial risk, revenue and cost forecasting, M&A due diligence, valuation modeling, and executive reporting. Partners with operational teams to optimize margins, support growth initiatives, and translate complex financial data into actionable insights. Requires advanced Excel expertise, financial modeling and valuation knowledge, data analytics proficiency, and experience managing and developing teams.

Owns product delivery and User Acceptance Testing (UAT) for commercial video services across enterprise, hospitality, multifamily, senior living, and public/private markets. The role manages UAT plans, roadmap execution, product quality, business metrics, market analysis, vendor relationships, and cross-functional go-to-market coordination. It also develops data-driven recommendations, uses AI tools to improve analysis and testing workflows, and drives successful product launches.

Build and optimize scalable batch and streaming data pipelines using Python, PySpark, SQL, and Apache Spark on AWS. Develop EMR data processing jobs, lead an Apache Airflow orchestration proof of concept, integrate Amazon Q for data quality and documentation, and implement GitLab CI/CD with infrastructure-as-code. The role emphasizes data governance, security, automation, performance, scalability, and cost efficiency while collaborating in Agile teams and presenting proof-of-concept findings.

Designs and leads enterprise data architecture modernization across cloud and lakehouse environments. Responsibilities include data modeling, Medallion architecture, storage tiering, vector databases, RAG, semantic layers, query and compute optimization, governance, access controls, lineage, integration, and compliance. The role partners with architecture, engineering, and business teams to deliver scalable, secure, highly available data assets and supports AI initiatives.

Own product vision, roadmaps, technical backlogs, and prioritization for core IT front-end applications supporting Dish TV and Sling TV. Collaborate with IT, Operations, Product, and development teams; lead Agile ceremonies; translate business needs into technical requirements; and support project and release management. The role requires 5+ years of product ownership or management experience, Scrum expertise, and familiarity with Jira, ServiceNow, SDLC, and enterprise IT architecture.

Leads AI engineering teams building and scaling production-grade agentic AI applications, multi-agent systems, LLM orchestration, and intelligent workflows. Oversees Databricks on AWS platform operations, architecture, security, and optimization. Establishes engineering standards for Python development, testing, CI/CD, and DevOps/DataOps, while partnering with Product teams on execution. Manages engineering leaders and staff, drives hiring and mentorship, and shapes the organization’s AI technical direction.

Lead strategic sourcing for marketing categories, including agency, media, and creative services. Execute RFP, RFQ, and RFI events; negotiate and draft complex contracts; analyze spend; recommend suppliers to executives; partner with Legal, Finance, and business units; standardize sourcing processes; and apply AI-enabled procurement tools to improve efficiency, compliance, and cost optimization.

Leads the enterprise AI product portfolio, including a unified AI Core Platform with LLM gateways, retrieval systems, and agentic frameworks. Manages and mentors Product Managers while partnering with Data Science, Engineering, UX, Legal, and Governance teams. Establishes AI product methodologies, evaluates use cases, drives digital transformation, and governs ethical deployment, privacy, security, bias mitigation, and human oversight. Uses telemetry, SQL, and visualization tools to measure model performance, costs, and productivity.

Lead design and scale of Python-based UI/API/embedded automation frameworks with CI/CD integration for video/OTT testing. Build lab governance, deploy field-level network emulation, triage complex production defects, drive release readiness, adopt AI-driven testing and virtualization, and coordinate cross-functional stakeholders and vendors to optimize lab capacity and reliability.

Leads the design, deployment, and maintenance of highly available AWS cloud infrastructure supporting 5G systems. Builds automated recovery, zero-touch provisioning, infrastructure-as-code, container orchestration, and CI/CD workflows. Establishes standards for monitoring, incident response, backups, and performance tuning while mentoring junior engineers. Integrates AI tools for predictive capacity planning, infrastructure monitoring, and automated incident triage.

Manages IT Service Operations across Change, Problem, DevOps, and ITSM functions. Leads cross-functional teams, develops AI-driven service automation strategies, oversees SLA and OLA performance, conducts Change Advisory Board reviews, ensures compliance and deployment reliability, and provides executive recommendations through performance metrics and trend analysis.

Build and secure generative AI platforms, predictive risk models, real-time automation pipelines, and dashboards for Third Party Risk Management and broader GRC use cases. Develop RAG architectures, agentic workflows, evaluation frameworks, guardrails, and continuous evidence-collection systems. Apply Python, compliance frameworks, quantitative risk methodologies, and cloud-native security practices to transform fragmented vendor risk data into actionable forecasts and executive reporting.

Leads media investment strategy and planning across business lines to drive profitability and growth. Oversees budget allocation, business case reviews, media mix modeling, predictive analytics, and cross-channel ROI optimization. Partners with analytics, finance, and consumer insights teams to ensure accurate tracking and performance measurement. Manages marketing platforms, agencies, affiliate programs, and high-performing teams executing complex paid marketing initiatives.

Build and scale AI infrastructure through Python automation, AWS serverless architectures, EKS containerized workloads, Terraform infrastructure as code, and monitoring. Develop orchestration pipelines for model training and inference, manage large datasets and production availability, reduce recovery times, collaborate with QA and Product, and mentor engineers while maintaining code quality and operational performance.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.

Leads cross-functional programs across manufacturing, distribution, in-home services, and IT infrastructure. Responsibilities include developing execution plans and schedules, translating business requirements into technical requirements, resolving operational bottlenecks, monitoring KPIs and risks, coordinating stakeholders, optimizing PMO processes, applying lean methodologies, and using AI workflow automation to improve efficiency. The role also requires data analysis, operational reporting, leadership by influence, mentoring, and conflict resolution.

Leads enterprise data platform modernization and business intelligence initiatives, including cloud data warehouse transformation, AI-enabled workflow automation, data virtualization, governance, metadata, and lineage. Directs cross-functional teams using Agile methodologies, manages project budgets, tracks KPIs, and delivers scalable, secure data services. Requires extensive IT program management experience focused on data platforms and business intelligence, along with expertise in Snowflake, Databricks, AWS, data governance, and Jira.

Drives financial visibility through business case evaluation, pricing models, operational metrics, and financial forecasting. Builds financial models, analyzes historical performance, integrates enterprise data, and uses AI analytics tools to improve reporting. Partners cross-functionally with Accounting and Finance, develops strategic recommendations, and translates complex financial results into executive presentations supporting organizational decision-making.