Digital Analytics Manager job at Pacific Northwest National Laboratory

Job Description

Overview:

The Pacific Northwest National Laboratory targets the nation’s toughest challenges in national security, energy resiliency and more. Their research often results in next-generation technologies ready to move to industry where they can make positive societal and economic impacts.

As PNNL looks to our future as a world-class research institution, one thing is clear: we must transform the way we gain operational insights at the laboratory through data analytics. The Digital Analytics Manager will lead and develop a team of data architects and engineers in a transition that brings together our current data architecture and reporting with contemporary cloud technologies, enabling dynamic data storytelling through visualizations and empowering data scientists to mine for insights that help PNNL make better business decisions.

The Digital Analytics Manager will leverage excellent leadership capabilities and collaboration skills to work with laboratory leaders and business partners to advance data and reporting capabilities that support data driven insights across the organization. As the Digital Analytics Manager, you are uniquely positioned to collaborate across teams that support all major platforms in PNNL’s digital workplace in executing a holistic strategy that spans process, governance, analytics, and architecture.

Requirements

The Successful Candidate:

The successful candidate is well-versed in the latest technologies, cloud-based data services, and best practices in the data and analytics space. Candidates will have previous experience in leading data transformations and bringing solutions forward for a diverse range of business problems. They will have a history of motivating, empowering, and growing teams. Finally, they will have the skill to assess the data needs of the organization and have demonstrated the ability to develop strategies that lead to powerful and sustainable data and analytics solutions.

Qualifications:

· BS/BA and 9+ years of relevant work experience -OR-

· MS/MA and 7+ years of relevant work experience -OR-

· PhD with 5+ year of relevant experience

Preferred Qualifications:

· Ability to employ an enterprise perspective in delivering data solutions that support cloud, on-premises, and hybrid architectures for application and analytic use.

· Expertise with Cloud data architectures and services (i.e., cloud storage types, analytics tools, big data solutions).

· Adept at leading discussions with various levels of experience including business and technical leadership.

· Advanced conceptual, logical, and physical data modeling, process analysis, and data quality analysis skills using modern tools and techniques.

· Excellent ability to bring together a team of data and analytics engineers and architects to execute the strategy.

· Experience in data engineering for AI/ML and deep learning with the design, fine-tuning, and deployment of corpora for LLM training.

· Demonstrated ability to solve challenging technical problems with innovative solutions.

· Knowledge and Experience with complex ETL processes to move and integrate data.

· Experience with API and event-based architectures as well as data warehouse concepts and techniques.

· Ability to assimilate knowledge quickly in a variety of domains.

Examples of Technologies Used By PNNL:

· Power BI

· Azure SQL

· Databricks

· Azure Synapse

· Azure Data Lakehouse

· Parque Files

Interested in this position?

Click here to learn how to get in touch