- College degree in data science, computer engineering, or similar field required.
- Mature leader who excels in influencing senior leadership without direct authority. Understand how to build partnerships that cut across the organization, working closely with all levels and functions.
- A minimum five years aviation experience and deep understanding of how an airline works and the underlying data needs that airlines have.
- A minimum of 12 years of experience building and leading data and analytics teams within the logistics, aviation or similar industry.
- Extensive experience in working with stakeholders to identify business problems that can be solved with data and analytics. Proven track-record in building business cases to support investment in IT resources.
- Has supervised gradual deployment of data science products with measurable impact and delivered significant bottom-line results. Ideal candidate will have done this within an airline of size.
- Has experience in a business-facing data consultancy role with demonstrated ability to foster engagement and creativity across a large function or business unit.
- Has ability to provide hands-on coaching and mentoring for a data team, i.e. has experience designing database models, running data analysis projects as well as building reports and dashboards.
- Has experience leading teams and building consensus around data requirements. Must have experience recruiting teams from the ground up and establishing data governance across a large scope.
- Has worked directly with data/analytics engineers and data architects in defining schemas and building cloud data platforms. Ideally has a good working understanding of modern data warehouses (e.g., Snowflake, Databricks, BigQuery) and modern analytics engineering (e.g., using dbt).
- Has a get it done attitude. Self-directed and functions well within ambiguity.
Salary Range: $201,000 - $272,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
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