Highline Warren (HW) IT is looking for a Director of Analytics to join the Data Analytics & Management team. This role will report to the VP of Enterprise Applications and Analytics and will lead the Analytics function that covers Data Warehouse, BI & Analytics, and Data Science.
Ideal candidate would be someone with strong experience in modern cloud-based data & analytics, demonstrated delivery of data science initiatives with tangible cost savings/incremental revenue, and a product mindset. We're on an Analytics transformation journey and this role is crucial to our success. We have a fast-paced, dynamic, and collaborative environment.
If you're looking to create an impact at a high growth company, please apply.
ResponsibilitiesExecute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.Work with IT BRMs, HW executive leadership, and functional leadership to identify enterprise analytics use cases, then prioritize, scope, and deliver.Run the Analytics team as a modern software engineering team with a focus on speed to market and tangible business value generation.Build, lead, mentor, and coach the team members.Build and lead the Analytics community within HW that includes IT and Business, with the goal of building a data-driven enterprise.Create documentation, process maps, presentations, and architecture diagrams to decipher enterprise complexity and drive for cross-functional alignment.Minimum QualificationsBachelor's degree in computer science, information technology, or a related field10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science3 years of experience leading people and building high performing teamsExperience in delivering impactful projects/initiativesCloud ecosystem experience (Azure, AWS, and/or Google)Coding language experience (Python, and SQL)BI tools experience (Power BI, Tableau, Looker, and/or Qlik Sense)Experience with Jira, Confluence, or similar toolsExperience in Agile development, TDD, CI/CD, and release managementExperience in project planning, estimation, and work trackingAttention to detail and excellent communication/presentation skillsLeader and doer who is business outcome focused with a high sense of urgencySelf-starter with a strong ability to prioritize and manage multiple workstreamsPreferred QualificationsExperience in leading and building a data science teamModern Data Stack experience (Snowflake, Synapse, Databricks, Redshift, DBT, and/or Airflow)AI/ML tools and technologies (SageMaker, Azure ML, etc.)Domain experience in Manufacturing, Distribution, Supply Chain, Marketing, and/or Finance
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