Senior Legal Counsel
| Company | Workday |
|---|---|
| Location | Austin, TX, USA, Atlanta, GA, USA |
| Salary | $168000 – $283600 |
| Type | Full-Time |
| Degrees | JD |
| Experience Level | Senior, Expert or higher |
Requirements
- J.D. Degree and membership in at least 1 state bar
- 8+ years of experience as a practicing attorney in a law firm or in-house/public sector legal department
- 3+ years of experience in modern contract drafting
- 3+ years of experience with contract lifecycle management (CLM) concepts and technology
Responsibilities
- Supporting the development and maintenance of transactional infrastructure governance policies and processes
- Collaborating with cross-functional teams in Legal and Business Technology to implement process and technology solutions
- Leading change management messaging and communication to executive, legal team, and cross-functional audiences
- Mapping workstreams and department processes, identifying complexity, effort and risk
- Leveraging business expertise to implement process improvements and serve as a trusted advisor for business users
- Proactively participate in organizational change and launch support processes, aiding change management and support enablement
- Leading negotiations for enterprise-level agreements (SaaS, procurement, non-disclosure, etc.)
Preferred Qualifications
- Strong understanding of CLM integration with other systems, Salesforce and Conga CLM a plus
- Advanced Word and PowerPoint skills
- Experience working in an agile environment and collaborating effectively with cross-functional teams
- Ability to identify and leverage workflow automation tools to streamline operations and improve business efficiency
- Analytical and methodological approach to problem-solving with keen attention to detail
- Strong communication and listening skills to effectively gather and understand business requirements from stakeholders
- Experience working in a legal department, particularly with customer contracts (strongly preferred)
- A strong interest in AI solutions and their application in data analysis, with a willingness to learn and contribute to model development and deployment