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EchoStar

Head of Wireless Product Data Engineering, AI and Analytics

Posted 2 Hours Ago
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In-Office
Littleton, CO, USA
146K-209K Annually
Senior level
In-Office
Littleton, CO, USA
146K-209K Annually
Senior level
The Head of Wireless Product Data Engineering, AI and Analytics will architect data infrastructure, lead teams, deploy AI solutions, and optimize cloud resources for strategic business insights.
The summary above was generated by AI
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 Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.
Job Duties and Responsibilities
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
You will bridge the gap between complex data infrastructure and actionable product insights, transforming the Product organization's data ecosystem into a strategic engine for growth. Your mission is to architect a robust data infrastructure that empowers our teams to make informed, high-stakes decisions under pressure. By solving the challenges of master data governance and predictive modeling, you ensure our brands are equipped with the precision tools needed to optimize supply, demand, and overall market performance.
What Success Looks Like (Objectives):
  • Lead the development and implementation of the Product organization's data infrastructure to ensure a single, governed source of truth
  • In your first 90 days, you will begin to roadmap and set the enterprise-wide data and analytics strategy, aligning technical milestones with department OKRs
  • Design and deploy decision-support tools and dynamic dashboards that translate descriptive analytics into clear paths for executive action
  • Oversee data engineering and science activities to solve complex forecasting and mathematical optimization problems, specifically for inventory and price sensitivity
  • Champion AI innovation by crafting and deploying AI solutions that solve forecasting and optimization challenges across the product lifecycle
  • Partner across the enterprise and with executive leadership to influence data infrastructure needs and optimize the use of cloud resources

Skills, Experience and Requirements
Core Skills and Competencies (What you'll bring):
  • Cloud data infrastructure mastery across Snowflake, AWS, Azure, and Databricks to manage large-scale data ecosystems
  • The ability to build and lead multidisciplinary teams across BI, Data Science, and Data Engineering to solve complex mathematical problems
  • Professional excellence in translating nebulous business needs into high-impact analytics products under extreme pressure and tight timelines
  • Deep technical proficiency in data science tools like Python, R, and Dataiku, alongside robust orchestration and SQL engineering skills
  • AI Literacy and Application, specifically a track record of implementing machine learning and linear programming to drive business outcomes
  • A champion's mindset for master data management, ensuring data quality, completeness auditing, and version control via Git are standard practice

Minimum Requirements:
  • Minimum Education: Bachelor's degree in Finance, Economics, or a quantitative field (Master's degree or MBA preferred)
  • Minimum Experience: 8 years of progressive work experience in Data Analytics; at least 5 years of full-time professional experience building and leading Business Intelligence, Data Science, and Data Engineering teams
  • Required Technical Skills: Must have at least 5 years of experience with:
    • Cloud data platforms (Snowflake, Databricks, or AWS architecture)
    • Data reporting and visualization platforms (Tableau or PowerBI)
    • Data science and engineering tools (Python, SQL, and Git)
    • Statistical forecasting and machine learning modeling

Salary Ranges
Compensation: $146,300.00/Year - $209,000.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )

Top Skills

AWS
Azure
Databricks
Dataiku
Git
Power BI
Python
R
Snowflake
SQL
Tableau
HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

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