Senior Director Analyst, AI Data Analytics for Leadership Expertise (Remote at Gartner
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

06 May, 25

Salary

0.0

Posted On

06 Feb, 25

Experience

12 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Marketing/Advertising/Sales

Description
Responsibilities
  • Conduct research and analysis in AI, Machine Learning, GenAI, Data Science and Analytics. Specific areas of focus will include those topics critical to Data and Analytics Leaders such as Best Practices, AI Ready data, Strategy, Technologies, Market trends and Vendors/Vendor solutions.
  • Expertise in:
  • AI/ML MLOPS, model development, management and deployment including infrastructures (SW+HW)
  • Analytics and Data Science
  • Application development implications of AI
  • GenAI
  • AI vendors comparisons
  • Governance and Responsible AI
  • Applicable experience in related industry discipline and deep knowledge of a particular market, industry or role; deep understanding of both technology and industry to include the market, vendors, products and user strategies in specific areas.
  • Cover the specified areas as well as applicable adjacent areas, while maintaining a view across a broad spectrum of the market, to produce innovative, thought-leading, impactful, fact-based research.
  • Identify critical questions facing Gartner clients and crafting appropriate research methods to address them. Provide in-depth analysis based on extensive client input, collaboration with other Gartner analysts and personal experience.
  • Drive client demand for Gartner’s research.
  • Lead a body of research and be recognized in the industry as a subject matter expert – develop a following.
  • Create and deliver high value presentations and other materials.
  • Assist the Sales organization in selling and retention on any topic covered by the Analyst’s team.
  • Provide high quality and timely research peer review. Provide mentorship and support team members.
  • Actively participate in or lead research community meetings to discuss research issues and collaborate effectively with peers
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