The Role
As a mid-level contractor, you will manage planning and prioritization for business requests, conduct data analysis, and lead presentations.
Summary Generated by Built In
1. General
- Job Title: Mid-Level Technology Contract
- Location: Remote
- Workplace: Remote
- Duration: ASAP to [End Date], with potential for extension
2. About the job
- How would you contribute to managing planning and prioritization for business requests from an engineering standpoint?
- Can you handle a role that consists of 50% meetings and 50% heads down work on projects?
- Do you thrive in a global team with diverse perspectives?
- Are you interested in potentially supporting hundreds of partners?
- Do you have experience with sales and marketing organizations, particularly with Channel, ISV, and coselling business?
Do such questions intrigue you?
3. Summary of the opportunity
- Client Overview: We are hiring for a contract role within the technology industry.
- Role Summary: As a mid-level contractor, you will play a crucial role in managing planning and prioritization for all business requests from an engineering standpoint. Your contributions will have a significant impact on the company's operations and success.
4. Key responsibilities
- Manage planning and prioritization for business requests from an engineering standpoint
- Contribute to key projects related to planning and prioritization
- Attend meetings and work on projects/workstreams
- Capture requirements from sales and marketing stakeholders and document them
- Build and lead executive presentations
- Conduct data analysis using tools such as SQL, PowerBI, and Excel
- Facilitate workshops to define future state scenarios across the partner/seller journey
- Review partner pain points and integrate feedback into analysis and prioritization
- Write business requirement documents and ensure stakeholder alignment
- Co-create OKRs with business teams to improve digital partner experience
- Collaborate with technical leadership to review technical architecture and design
- Assist in building proof of concepts for scenario validation
5. Experience required for success
- MUST-Have Skills and Qualifications: 5-7 years of overall experience in the field, experience with portfolio management, data analysis, and executive presentation preparation. Azure DevOps Management, stakeholder management, synthesis of business strategies, requirements gathering, and workshop facilitation.
- Preferred Skills and Qualifications: Familiarity building GTM strategies, experience in planning & portfolio management across large organizations, technical depth in AI terminology and concepts.
6. So calling all top performers
- Exciting Opportunity: This role presents an exciting opportunity to work with a global team, contribute to managing business requests, and potentially support hundreds of partners.
- Competitive Compensation: Competitive rate offered.
- Application Process: To apply for this role, please submit your application online or email your resume to [email protected], highlighting your relevant experience and qualifications. Please ensure that your application provides accurate information.
- About this posting: This description is a general overview of the role. The actual duties, responsibilities, and qualifications may vary based on assignment.
- Equal Employment Opportunity: We are committed to diversity and inclusion, have a non-discrimination policy, encourage diverse candidates, and provide accessibility and accommodation.
In conclusion: Don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! Please feel free to drop in your resume at [email protected]
Skills Required
- 5-7 years of overall experience in the field
- Experience with portfolio management
- Data analysis and executive presentation preparation
- Azure DevOps Management
- Stakeholder management
- Synthesis of business strategies
- Requirements gathering
- Workshop facilitation
- Familiarity building GTM strategies
- Experience in planning & portfolio management across large organizations
- Technical depth in AI terminology and concepts
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