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Company Overview
A leading global professional services organization helps businesses, governments, and other organizations build their digital core, optimize operations, accelerate revenue growth, and enhance services. The company operates in over 120 countries with a talent- and innovation-led workforce of approximately 790,000 professionals. They are a top partner to major cloud providers including AWS, Azure, Google Cloud, and private cloud leaders such as IBM, Dell, HPE, and RedHat. Their Cloud First group delivers integrated cloud capabilities across data, edge, infrastructure, and applications, supporting transformation with a focus on responsible business practices, security, data privacy, AI ethics, and sustainability.
Summary
The PCP Pre Sales Engineer for Data & AI Enterprise Solution Architecture will own the end-to-end definition, build, and scaling of reusable, revenue-generating cloud and AI offerings. This role involves aligning platform capabilities, industry priorities, and commercialization strategy to drive measurable business impact and scalable intellectual property.
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, ranging from 0% to 100% depending on business needs and client requirements.
Qualifications
Minimum 12 years of experience leading cloud and Data & AI solutions, including ownership of reusable, multi-client offerings spanning solution definition, technical architecture, and go-to-market execution.
Minimum 5 years of experience owning or scaling multi-client cloud or AI offerings in an enterprise environment.
Bachelor’s degree or equivalent work experience (minimum 12 years); Associate Degree with minimum 6 years work experience is acceptable.
Professional Skills Requirements
Strong commercial and go-to-market acumen, including experience supporting sales enablement, deal shaping, and pipeline development.
Demonstrated ability to lead and influence cross-functional teams across engineering, industry, sales, and ecosystem partners.
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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