Oracle Sales Engineer - Data & AI

We Are:

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 790,000 people serving clients in more than 120 countries. A?leading partner to the world's major cloud providers, including AWS , Azure, and Google and Private Cloud leaders like IBM , Dell, HPE , RedHat. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our?clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 150,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem?skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients' businesses in the cloud. ?To accelerate?our customers transformation leveraging omni cloud, we combine world-class learning and talent?development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design - with security, data privacy, responsible use of artificial intelligence,?sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.

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 p To view full details and how to apply, please login or create a Job Seeker account