
Senior Cloud And Software Licensing Consultant
Overview
Job Description
The Senior Cloud, AI & Software Licensing Consultant will design, lead, and scale operational and commercial best practices across our Microsoft and AWS ecosystem while helping build and expand Compucom's Cloud, AI, Professional Services, and Managed Services business. The ideal candidate has deep expertise in Microsoft Enterprise Agreements (EA), Microsoft CSP (direct or indirect), Microsoft Cloud commercial models (MCA, NCE, Azure consumption, seat-based licensing), and AWS programs that drive migration, modernization, cloud adoption, and recurring services growth.
This role combines cloud strategy, licensing optimization, services development, business growth, partner engagement, and operational leadership. The individual will help translate licensing and cloud consumption opportunities into higher-value consulting, implementation, optimization, AI, and managed services engagements while driving revenue growth, profitability, governance, and customer success.
This is a remote positionResponsibilities
- Serve as the subject matter expert for Microsoft licensing, Azure, AWS, SaaS, AI, cloud commercial models, and cloud consumption strategies.
- Advise executives, sales teams, and customers on licensing strategy, deal structure, cloud adoption, AI investments, and commercial optimization.
- Design and develop scalable Cloud, AI, Professional Services, and Managed Services offerings.
- Create repeatable service offerings, SOW frameworks, pricing models, estimation methodologies, and delivery playbooks.
- Develop go-to-market strategies for cloud assessments, migrations, modernization, managed cloud services, AI readiness, AI implementation, Agentic AI, and cloud optimization services.
- Drive cost optimization, FinOps, governance, and cloud adoption initiatives across Azure and AWS environments.
- Develop SOPs and operational processes for quoting, provisioning, billing, renewals, cloud lifecycle management, and service delivery.
- Establish governance, controls, compliance standards, and risk mitigation processes for cloud, licensing, and AI consumption.
- Manage renewals, co-terming, NCE transitions, licensing lifecycle management, and cloud consumption optimization.
- Identify opportunities to expand licensing engagements into consulting, implementation, optimization, and recurring managed services.
- Optimize Azure and AWS profitability through pricing strategies, partner incentives, funding programs, marketplace offers, and cloud consumption growth.
- Align licensing, cloud, AI, and managed services offerings with customer business objectives and digital transformation initiatives.
- Build reporting, automation, analytics, and quote-to-cash workflows to improve efficiency and scalability.
- Partner with sales and account teams to build pipeline, identify whitespace opportunities, and drive cross-sell and upsell motions.
- Lead strategic discovery sessions, executive customer engagements, and complex enterprise pursuits.
- Build executive relationships with Microsoft, AWS, distributors, ISVs, and strategic service partners.
- Support cloud modernization, governance, security, AI adoption, and operational transformation initiatives.
- Mentor internal teams on cloud strategy, licensing, AI technologies, commercial models, and customer engagement best practices.
- Help define organizational processes, delivery standards, reference architectures, and operational best practices for cloud and AI services.
- 10+ years of experience in Microsoft EA, CSP, Azure, AWS, cloud licensing, cloud services, consulting, managed services, or enterprise technology environments.
- Deep expertise in Microsoft 365, Dynamics 365, Azure, Power Platform, Copilot, AI-related licensing models, and Microsoft commercial programs including MCA, NCE, Azure consumption, CSP, private offers, and marketplace offerings.
- Strong knowledge of AWS cloud services, migration and modernization programs, Marketplace, MAP, cloud consumption models, and partner incentives.
- Proven experience building, scaling, or supporting Cloud, AI, Professional Services, Managed Services, Consulting, or Cloud Center of Excellence organizations.
- Experience developing service offerings, SOWs, pricing frameworks, estimation models, delivery methodologies, and go-to-market strategies for cloud, AI, and managed services.
- Demonstrated success driving cloud governance, licensing operations, FinOps initiatives, cloud cost optimization, recurring revenue growth, margin improvement, and customer retention.
- Experience supporting enterprise cloud assessments, migrations, modernization initiatives, managed cloud services, cloud operations, and digital transformation programs.
- Knowledge of AI licensing, Generative AI, Copilot, Agentic AI, automation platforms, token-based consumption models, governance frameworks, and cloud-based AI services.
- Experience leveraging Microsoft and AWS partner ecosystems, certifications, funding programs, co-sell motions, incentives, marketplace initiatives, and strategic partnerships to drive business growth.
- Strong executive communication, presentation, and leadership skills with the ability to influence customers, sales teams, architects, engineers, finance, and operational stakeholders while simplifying complex cloud, licensing, and AI concepts.
On-Camera Video Interview Notice:
Candidates selected to interview must participate in live, on-camera video interviews for identity verification and assessment purposes. Interviews will be recorded where permitted by law. Participation and consent to applicable recording requirements are required to continue in the hiring process. Failure to participate in required on-camera interviews may result in removal from further consideration for employment.
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