Gartner
Executive Partner (General Counsel Advisory)
Remote - United States · Senior
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About the role
- Partnering with our clients means that no two days are the same
- Other emerging priorities include robust third party risk management strategies, coordinated approaches to cyber and information governance, legal technology and AI adoption, and effective reporting and disclosure processes.
Responsibilities
- Define and deliver innovative solutions by assessing member needs and developing a customized value plan in accordance with overall Executive Program strategy and product deliverables.
- Work as a collaborative Gartner team member serving members in conjunction with Client Support Professionals and Account Executives.
- There will be a considerable focus on sales enablement in this role. You are responsible for member retention and for contributing to account growth through direct support of Gartner Sales Associates:
- Building their confidence and ability to effectively engage with and sell to this level of C-suite prospect.
Requirements
- At least 5+ years of experience working as a GC (or the top most Legal role within an organization) and at least 15+ years of experience in Corporate Legal environments.
Nice to have
- Consulting background a plus.
Compensation
- Host, facilitate, and/or participate in periodic member activities, including working sessions to develop strategy, peer roundtables, sessions and client meetings at the annual conference and virtual webinars.
Company info
- This is why, year after year, we are recognized worldwide as a great place to work.
- If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.
Visa & Work Authorization
- and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally
This listing is sourced directly from Gartner's careers page and normalized into a canonical job model.