R&D Data Product Manager

Description

Leidos is seeking an exceptional and motivated R&D Data Product Manager to work alongside world class engineers and researchers supporting the mission of the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL). This work will involve a multi-disciplinary, scientific, and technically oriented national laboratory team, with participation alongside other data scientists, engineers, geoscientists, material scientists, and computer scientists that produces technological solutions for America's energy challenges.

What this opportunity with Leidos supporting NETL through a Research Support Services (RSS) contract uniquely provides you:

• Working on applied, cutting-edge projects with global impact while being mentored by the nation's leading energy scientists and engineers.
• Real-world experience supplemented with technical development and discussions that provide unique insight into the broad range of mission critical engineering and scientific disciplines NETL leverages to support national energy research and policy development.
• Access to world-class, customized facilities and computational assets specific to high impact energy research, technology generation, and product development.
• Support proposal development focused on expanding industry and scientific partnerships and developing new technical opportunities for NETL with federal guidance.

Primary Responsibilities:

• Lead the development of agile, community-based, enterprise-wide R&D data governance, collection, management, and sharing systems capable of supporting the entire data lifecycle across multiple projects.
• Lead the development of AI/ML ready R&D data formats and criteria to improve the search and identification of data within NETL's R&D data stores. Improve user interaction with NETL's R&D data stores and resources within it. Support adherence to DOE export control and data rights policies for R&D efforts.
• Collaborate with an interdisciplinary team, including geologists, geographers, data scientists, computer scientists, environmental scientists, and other researchers to assist each other in accomplishing project related tasks.
• Build and maintain relationships with internal and external clients.
• Provide weekly and monthly technical updates to research team members and project management.
• Provide leadership and expertise on R&D projects including delegation to team members and communication of project milestone status to management.

• Act as liaison between researchers and NETL's IT technicians, architects, and cyber-security experts.
• Lead development of R&D tools, models, and/or applications that integrate with different data storage frameworks and databases.

Required Qualifications:

• Bachelor's degree in environmental science, data science, geography or related field with 11+ years of equivalent practical experience working in a laboratory or industrial environment or a Master's degree environmental science, data science, geography or related field with 9+ years of equivalent practical experience working in a laboratory or industrial environment
• Advanced knowledge and skills in data management, data processing, and generating high-impact data visualizations.
• Ability to lead a multidisciplinary team composed of geologists/geoscientists, data scientists, computer engineers, and other technical staff.
• Experience architecting and implementing data management systems.
• Experience creating data pipelines and data models that support technical research management needs.
• Experience managing time effectively; experience developing and meeting project milestones with little oversight.
• Clear and effective communication, both in writing and in person.
• Comfortable with Python, SQL, or one graph query language.
• Experience in basic ETL pipeline construction and flow.
• Experience in basic data cleaning and normalization practices.
• Experience with Neo4j, ArangoDB, Postgres or other relational and graph database management systems.
• U.S. Citizen.

Preferred Qualifications:

• Master's degree in environmental science, data science, geography or related field.
• Technical knowledge of data types, formats and management needs common to Critical Minerals and Materials (e.g., geology, geochemistry, metallurgical, remote sensing, GIS).
• Experience with cloud infrastructure, preferably GCP.
• Experience with Arcgis Enterprise or Pro.
• Experience with Github or git commands.
• Experience with Anthos, Docker or Kubernetes.
• Experience working for a U.S. national laboratory or as a research site-support contractor (or experience as a consultant).

Salary Range for this position: $120K to $135K

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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