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