Product Manager
Brightspeed
R&D Data Product Manager
Leidos
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $135,000 per year
Job Level
SeniorLead
Tech Stack
ETLNeo4jPostgresPythonSQL
About the role
- 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.
Requirements
- 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.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata processingdata visualizationdata pipelinesdata modelsETL pipeline constructiondata cleaningnormalization practicesPythonSQL
Soft skills
leadershipcommunicationtime managementcollaborationrelationship building
