Director, Data Platforms and Insights

About the Role

Key Responsibilities

• Provide leadership to data platform and business intelligence teams, fostering a culture of continuous improvement and innovation.
• Define and implement a 2025 strategy to revolutionize the data-user experience, enabling rapid discovery of trusted data assets.
• Oversee the design and development of AI-powered tools for data automation, including ETL pipeline creation, data transformation, and refactoring.
• Manage enhancements to platform infrastructure to support virtualized, metadata-rich data access and reduce reliance on local data copies.
• Champion AI-driven business intelligence tools, such as Tableau Plus, for automated dashboard creation, data visualization, and reporting.
• Establish effective project management frameworks to deliver high-quality, on-time, and within-budget data platform solutions.
• Collaborate with cross-functional teams to align data services with business unit priorities and evolving data needs.
• Advocate for data governance and stewardship, ensuring visibility into metadata, ownership, quality, and lineage.
• Lead enterprise initiatives to drive data-driven decision-making and automation through AI technologies.
• Mentor and develop team members to stay ahead of emerging trends in AI, data engineering, business intelligence, and cloud platforms.
• Foster an innovation mindset, focusing on automation, process optimization, and adoption of new tools to improve team efficiency and business outcomes.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related technical field.
• 15+ years of 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, and AWS services.
• Expertise in automating data engineering tasks through CI/CD pipelines, orchestration frameworks (e.g., Airflow), and DevOps processes.
• Experience implementing and optimizing virtualized data platforms with metadata management, data lineage, and quality measures.
• Demonstrated success in enhancing data-user experiences by improving data accessibility, discovery, and trust.
• Strong understanding of data visualization and reporting platforms, particularly Tableau/Tableau Plus.
• 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 Have

• Master's degree in Computer Science, Data Engineering, or related field.
• Experience with AWS Redshift, AWS Glue, Lake Formation, and Databricks Delta.
• Hands-on experience with Spark, Python, SQL, and Apache Hadoop for data ingestion and processing.
• Familiarity with data governance platforms, metadata management, and automated data quality frameworks.
• Knowledge of AI operations and production techniques, including scalable model deployment and monitoring.
• Experience managing project financials, including budgeting, forecasting, and cost tracking.
• Proven ability to develop budget estimates, perform cost-benefit analyses, and manage vendor relationships, including MSA/SOW creation.

Benefits & Perks

• Versatile health perks, including flexible spending accounts, HSA, and a 401(k) Plan with company match.
• Employee stock purchase plan (ESPP).
• Career opportunities and a flexible time away plan.
• All benefits are detailed in DISH Benefits.
• Compensation varies based on qualifications, skill level, and work location.