Qualifications - Master’s degree in Engineering, Operations Research, Statistics, Mathematics, Computer Science, or related field required. A working experience of the same is also acceptable for the position. PhD preferred.
- 7 years of experience, with at least 2 years in a data science and business intelligence management role, involving the development and deployment of data science and business intelligence tools, preferably in a supply chain environment
- Progressively responsible management roles with at least five years of management experience preferred
- Experience working with and creating data architectures.
- Strong knowledge of end-to-end data lifecycles across traditional data warehouses (Azure Synapse, AWS, etc.), relational databases (Oracle, SAP, SQL, etc.), business intelligence reporting (Power BI, Qlik Sense, Tableau), and big data analytics (Databricks, etc.)
- Experience querying databases and using statistical and computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience working with large-scale data sets in a cloud-based data environment, specifically in AWS
- Demonstrated experience coaching and leading teams in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
- Practical experience of the implementation of data stewardship, including master data management, data quality, data dictionaries and ETL tools
- Experience in big data technologies such as Hadoop, BigQuery, S3, MapReduce, Apache Spark
- Excellent communicator in both written and in-person collaborations
- Product development and management experience preferred
- Demonstrated ability to influence senior stakeholders throughout the organization, both technical and non-technical
- Strong storytelling skills with experience presenting to large technical and non-technical audiences all the way to the C-Suite, emphasizing translating data science outcomes into business implications
Competencies - Collaborative Leadership - Knows how to get things done through formal channels and the informal network while instilling a sense of purpose in others; sees connection to larger purposes.
- Communicate for Impact - Devoting the time and resources necessary to communicate the strategic vision, direction, priorities, and progress of the team for which you are responsible.
- Customer Relationship Building - Having an intimate knowledge of the customer's changing needs and the ability to produce rapid results in all areas.
- Financial Acumen - Maintains and applies a broad understanding of financial management principles to ensure decisions are fiscally sound, responsible, and are strategically aligned.
- Leading Change - Ability to develop and implement an organizational strategy and to incorporate it into the organization’s long-term goals. Foster a work environment that encourages creative thinking and the ability to maintain focus, intensity and persistence, even under adversity.
- Leading People - Ability to develop and implement strategies to maximize employee performance and foster employee engagement in meeting the organization's strategy.
- Strategic Agility - Gains perspective and balances the pressure between daily tasks and strategic actions that impact the long-term viability of the organization.
Travel Requirements - This position is expected to travel approximately 25% .
- A passport is not required, but recommended.
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