Director Data Management & Business Intelligence
US-CO-Englewood
Attract-careers1
Req #: 95365
Type: Fulltime-Regular
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Overview: EchoStar is seeking an innovative and strategic Director of Data Platforms and Insights to lead the next evolution of our data infrastructure and business intelligence ecosystem. This leader will drive the transformation of data platforms by embedding AI capabilities to both enhance internal processes (e.g., automation and optimization of workflows) and enable advanced, AI-driven analytics delivery. The Director will manage teams responsible for platform innovation, production stability, and user-centric data services, enabling seamless access to high-quality, virtualized data for business analysts, data analysts, data scientists, and decision-makers. The Director will report to the Vice President of Data/AI Products and Monetization and will lead an organization of six squads focused on delivering projects, maintaining operations, and improving the data experience across the enterprise. While direct experience with AI-driven tools (e.g., code generation, pipeline optimization) is preferred, we recognize that this is an emerging field. Therefore, candidates who have experience with modern cloud platforms, automation frameworks, and data process optimization-and who demonstrate a willingness to learn and adopt AI-driven innovations-are strongly encouraged to apply. Responsibilities: Strategic Leadership & Platform Development * Lead and manage the Data Platforms and Insights organization, including both development and operations teams. * Define and execute a 2025 strategy to revolutionize the data-user experience, ensuring rapid discovery of high-quality, trusted data assets. * Leverage AI-driven tools to automate data processes (e.g., code generation, ETL pipeline creation, data transformation, and refactoring) using platforms like Databricks, Git, and other modern data engineering tools. * Oversee platform enhancements to enable virtualized, metadata-rich data access, reducing reliance on local data copies and manual interventions. * Champion the use of AI-powered tools for business intelligence, including Tableau Plus for dashboard automation, data visualization, and distribution. Team and Operations Management * Manage four development squads delivering cross-functional data and insights projects, aligned with business unit priorities and using a capacity-based agile model. * Oversee two production operations squads responsible for managing production jobs, addressing performance issues, and maintaining platform stability through automated issue resolution and optimization strategies. * Cultivate a culture of continuous improvement and innovation, ensuring that teams are skilled in modern AI, cloud, and data technologies. Stakeholder Collaboration & Data Governance * Collaborate with business units, data scientists, and analysts to understand evolving data needs and align data services with strategic priorities. * Advocate for data governance and stewardship, enabling trusted access to data by ensuring visibility into metadata, ownership, quality, and lineage. * Represent the Data Platforms and Insights function in enterprise initiatives to drive data-driven decision-making and automation through AI technologies. Talent Development & Innovation * Recruit, mentor, and develop team members to stay ahead of emerging trends in AI, data engineering, business intelligence, and cloud platforms. * Encourage the exploration and adoption of AI-driven technologies to streamline development and operations, improving the overall productivity of data teams and end-users. * Foster an innovation mindset, focusing on automation, process optimization, and the use of new tools to improve team efficiency and business outcomes. * Build successful, self-motivated, and process driven teams. Qualifications: * Proven experience leading data platform and business intelligence organizations with a focus on AI-driven innovation or automation-driven process improvements. * Strong knowledge of modern data warehouse technologies, including Databricks, Snowflake, AWS services, and other cloud platforms. * Expertise in automating data engineering tasks through tools such as CI/CD pipelines, orchestration frameworks (e.g., Airflow), or DevOps processes. * Experience implementing and optimizing virtualized data platforms with rich metadata, data lineage, and quality measures. * Demonstrated success in enhancing the data-user experience by reducing bottlenecks in data access and improving data discovery and trust. * Strong understanding of data visualization and reporting platforms, particularly Tableau/Tableau Plus and similar business intelligence tools. * Excellent leadership, communication, and collaboration skills, with the ability to drive cross-functional initiatives in a fast-paced environment. * Experience with agile methodologies, emphasizing continuous delivery and iterative improvements. Nice To Haves: * Experience with data platforms like AWS Redshift, AWS Glue, Lake Formation, and Databricks Delta. * Familiarity with data ingestion and data processing technologies, such as Spark, Python, SQL, and Apache Hadoop. * Hands-on experience with data governance platforms, metadata management, and automated data quality frameworks. * Knowledge of AI operations and production techniques, including scalable model deployment and monitoring. * Guide team with managing project financials including budgeting, forecasting, and actual tracking. * Active influence in developing budget estimation, cost benefit analysis, creating MSA / SOWs, vendor management.
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