Director of Research Data Science

Full-time

Hybrid

Deadline

June 25, 2024

About the organization

Stanford Data Science

Stanford Data Science

Organization type

Academic Institution

In A Nutshell

Location

Hybrid Stanford, California, USA

Salary

$213,000-$242,000

Job Type

Full-time

Experience Level

Senior-level

Deadline to apply

June 25, 2024

Provide strategic leadership for the new GPU-centric computing infrastructure, manage affiliated research data scientists, and exercise the delegated authority for policy and programmatic decisions.

Responsibilities

  • Provide strategic direction for a major function or center; create strategic plans of considerable complexity and scope; set long-range direction and make high-level decisions; propose and manage the implementation of significant programmatic changes; establish policies as needed.
  • Direct and oversee the overall scientific, engineering or technical research function for a major function or center. Collaborate with senior management, faculty and/or others in order to develop, communicate and manage a central strategic plan aligned with goals of the larger organization and consistent with the university’s overall mission.
  • Identify, clarify, and resolve issues with strategic impact and substantial significance, which span multiple areas, using advanced technical and professional knowledge requiring broad discretion and judgment.
  • Responsible for ensuring that state-of-the-art scientific, engineering or technical research is adequately funded, staffed, equipped, and housed.
  • Accountable for ensuring finance, budget, personnel, and facilities resources are used appropriately.
  • Manage the adoption and adaptation of emerging technologies to meet changing requirements, capabilities, and opportunities.
  • Lead high-level scientific, engineering, or technical research programs and initiatives through technical design, development, integration, and outreach.
  • Advise university/school-wide senior management on technical futures.
  • Collaborate with university leaders on scientific, engineering, or technical research project decisions.

Skillset

  • Bachelor’s degree and ten years of relevant experience or combination of education and relevant experience. Advanced degree may be required in some areas.
  • Extensive experience leading and managing a large organization of technical staff through subordinate managers.
  • Demonstrated experience leading large, complex scientific, engineering or technical research projects or programs.
  • In-depth understanding of relevant business and technical disciplines.
  • In-depth knowledge of emerging technologies, trends, methodologies, and resource management principles.
  • Ability to synthesize and articulate technical and scientific methodologies, specifications, and information.
  • Demonstrated ability to work and communicate effectively with others.
  • Demonstrated ability to think strategically and deliver results.
  • Exceptional customer relationship and consensus building skills.
  • Ability to influence and establish effective working relationships in a diverse environment. Motivate and mentor staff.
  • Resolve complex issues quickly and make decisions that meet university objectives in a collaborative culture.

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