The Work: You'll own the end-to-end definition, build, and scaling of reusable, revenue-generating cloud and AI offerings. You'll be responsible for aligning platform capabilities, industry priorities, and commercialization strategy to drive measurable business impact and scalable IP.
Core Responsibilities: Offering Strategy & Portfolio Ownership:
- Define 12-24 month roadmap aligned to Cloud First priorities.
- Identify repeatable, scalable solution patterns.
- Define monetization model (accelerator, managed service, AI-as-a-Service).
Technical Architecture & Differentiation
- Establish reference architectures and solution blueprints.
- Ensure production-grade design and Responsible AI alignment.
- Avoid duplication across Data & AI and Cloud teams.
Go-to-Market & Commercialization
- Package offerings for sales activation (playbooks, pricing, demos).
- Partner with Business Groups to drive pipeline.
- Track revenue contribution and adoption metrics.
Hyperscaler & Ecosystem Alignment
- Act as primary interface with respective Business Group.
- Drive joint co-innovation and co-investment motions.
Governance & Scale
- Establish KPIs (revenue, reuse, deployments).
- Ensure security, compliance, and Responsible AI adherence.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Here's What You Need: - Minimum 12 years of experience leading cloud and Data & AI solutions, including ownership of reusable, multi-client offerings spanning solution definition, architecture, and go-to-market execution.
- Minimum 5 years of experience with AWS, including a combination of hands-on solution architecture and pre-sales or offering solutioning experience across Data & AI services (e.g., SageMaker, Bedrock, Redshift, Glue, EKS).
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)
Professional Skills Requirements: - Proven ownership and scaling of multi-client, revenue-generating cloud or AI offerings.
- Strong commercial and go-to-market acumen, including experience supporting sales enablement, deal shaping, and pipeline development.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 05/31/2026
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $163,000 to $369,800
Cleveland $150,900 to $295,800
Colorado $163,000 to $319,500
District of Columbia $173,500 to $340,200
Illinois $150,900 to $319,500
Maryland $163,000 to $319,500
Massachusetts $163,000 to $340,200
Minnesota $163,000 to $319,500
New York $150,900 to $369,800
New Jersey $173,500 to $369,800
Washington $173,500 to $340,200
