Director, Enterprise Data Science & AI at Gartner
Irving, TX 75039, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Jul, 25

Salary

165000.0

Posted On

01 May, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Learning Techniques, Data Science, Computer Science, Enrichment, Business Applications, Accountability, Data Governance, Programming Languages, Communication Skills, Team Development, R, Sql, Leadership, Statistics, Information Management, Platforms

Industry

Information Technology/IT

Description

EDUCATION & EXPERIENCE

  • Master’s degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field.
  • 10+ years of experience in data science, AI, data governance, or similar roles, with a proven track record of successfully delivering complex data science and AI projects in business environments.
  • Comprehensive understanding of AI ethics, risk management, and industry compliance, including experience implementing best practices for transparency and accountability in AI.

LEADERSHIP & SOFT SKILLS

  • Outstanding written and verbal communication skills, with ability to translate complex technical concepts for non-technical audiences.
  • Exceptional stakeholder management abilities and proven success in cross-functional collaboration.
  • Strong problem-solving aptitude and demonstrated excellence in people management and team development.
    Note: This job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.
Responsibilities

ABOUT THE ROLE:

As Data Science Director at Gartner, you’ll lead the development of innovative AI models and machine learning solutions that drive strategic business outcomes. You’ll build and mentor a talented team of data scientists while establishing technical standards and best practices. The ideal candidate combines strong technical expertise with exceptional communication skills to translate complex insights into actionable recommendations for senior leadership and business stakeholders.

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