Head of Data Science Mission Office

Space Telescope Science Institute•Baltimore, MD

8d•$210,000 - $250,000•Hybrid

About The Position

The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space Telescopes. STScI leads observation planning, data analysis, public engagement, and data archiving for flagship missions. Our staff spans astronomy, engineering, education, IT, communications, and administration—working together to bring space science to the world. STScI is seeking a Leader for the Data Science Mission Office. This role shapes and advances the Institute’s vision for leveraging artificial intelligence, machine learning, and advanced data analytics to enable transformative discovery in astronomy. The Head of DSMO will work with STScI staff and the wider astronomical community to define and drive high-impact initiatives at the intersection of astronomy, data science, engineering and open-source software development. They will lead internal/external initiatives and partnerships to increase data-driven scientific productivity of STScI’s missions, and to innovate in these areas. They will work to expand the scientific value of data holdings, which include the missions STScI directly operates (HST, JWST, Roman and future missions) as well as the multi-mission, multi-wavelength data of the Mikulski Archive for Space Telescopes (MAST), and to lower barriers to scientific discovery. In addition, to leading strategies to enable machine learning and artificial intelligence for scientific research using STScI's data archives and platforms. While ensuring that AI technologies are scientifically rigorous, strategically aligned with the Institute’s mission, and ethically implemented.

Requirements

Ph.D. in Astronomy, Astrophysics, Computer Science, Data Science, or a related field.
Significant research and technical experience applying AI/ML to scientific domains, preferably in astronomy.
Demonstrated leadership in complex, interdisciplinary initiatives involving data science, AI infrastructure, or strategic technology planning.
A record of impactful scientific publications and community engagement.
Deep knowledge of astronomical data systems, AI/ML research, and data governance.
Understanding of ethical and regulatory frameworks for AI use in scientific contexts.
Demonstrated experience in budgetary planning and management.
Strong knowledge of relevant regulations, compliance standards, and contractual obligations
Strong scientific writing, technical communication, and public speaking skills.
Expertise in advanced data analysis, machine learning pipelines, and scientific software development.
Strong communication and interpersonal skills.
Excellent organizational and planning skills and time management.
Ability to synthesize complex scientific and technical domains into a cohesive strategic vision.
Successfully navigate institutional, federal, and cross-sector environments with credibility and influence.
Inspire collaboration and drive innovation across disciplines.

Responsibilities

Develop, implement and communicate a clear vision for the data science strategy for STScI
Identify and leverage science-enhancing synergies in data science across STScI missions in collaboration with senior leadership
Set priorities to explore and deliver new technologies, services, and infrastructures that advance scientific discovery
Strategically identify and advance high-level organizational priorities for data science
Enhance research activities, capabilities, and outcomes for STScI science staff to help them adopt new data science technologies
Support the broader astronomical community, particularly those working with space missions and archives supported by STScI
Dedicate a portion of working time to self-directed research
Support improvement of STScI operations and services through modern data management, data engineering, and data science techniques
Advance capabilities for enabling analysis of peta-scale data archives by the astronomical community
Foster close partnerships among engineering teams, scientists, and the astronomical community
Manage the MAST contract and ensure the success of archive initiatives within the purview of that contract
Represent STScI's work to external partners including government agencies (e.g., NASA), advisory and oversight committees, and the scientific community
Facilitate consensus from key partners to turn strategic vision into meaningful activities and deliverable results
Communicate effectively with individuals, teams, and management throughout STScI, AURA, and associated communities
Develop and communicate a clear vision and strategy for the Data Science Mission Office aligned with the Institute's overall
Provide leadership and guidance to subordinate managers and staff, fostering a culture of collaboration, innovation, and excellence.
Conduct periodic reviews and assessments of Data Science Mission Office policies and procedures.
Provide mentorship and learning environments for staff
Make informed and timely decisions on strategic and operational matters, balancing short-term needs with long-term goals.
Collaborate with other senior leaders to align decisions with the overall strategic direction of the Institute.
Develop and manage Data Science Mission Office budgets, ensuring resources are allocated appropriately to support operational needs and strategic initiatives.
Identify opportunities for cost optimization and efficiency
Allocate staff and capital resources effectively to meet Data Science Mission Office and organizational objectives.
Establish and monitor key performance indicators (KPIs) to assess the performance of each function within the Data Science Mission
Implement performance improvement initiatives as
Collaborate with other mission and division heads and senior managers to ensure seamless and efficient integration and coordination across the Institute.
Foster a culture of interdisciplinary collaboration to address complex organizational challenges.
Identify and assess risks related to Data Science Mission Office
Develop and implement risk mitigation strategies to safeguard organizational assets and goals.
Build and maintain strong relationships with internal and external stakeholders, including government agencies, partners, and
Represent the Data Science Mission Office and STScI in external forums and industry events.