Head of Wireless Product Data Engineering, AI and Analytics
US-CO-Littleton
Attract-careers1
Req #: 97650
Type: Fulltime-Regular
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Overview: 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. 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 Qualifications: 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
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