Director, Data & Analytics
Highline Warren (HW) IT is looking for a Director of Analytics to join the Data Analytics & Management team. This role will report to 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 a strong experience of 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.
Responsibilities
- Execute 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 Qualifications
- Bachelor's degree in computer science, information technology, or a related field
- 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science
- 3 years of experience leading people and building high performing teams
- Experience of delivering impactful projects/initiatives
- Cloud 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 of Jira, and Confluence, or similar tools
- Experience of Agile development, TDD, CI/CD, and release management
- Experience of project planning, estimation, and work tracking
- Attention to detail and excellent communication/presentation skills
- Leader and doer who is business outcome focused with a high sense of urgency
- Self-starter with a strong ability to prioritize and manage multiple workstreams
Preferred Qualifications
- Experience of leading and building data science team
- Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow)
- AI/ML tools, and technologies (SageMaker, Azure ML, etc.)
- Domain experience of Manufacturing, Distribution, Supply Chain, Marketing, and/or Finance