SAP BTP – Enterprise AI Manager

SAP BTP – Enterprise AI Manager Location: London/Manchester/Birmingham Salary: Competitive salary and package (Depending on level of experience) Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skills and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO In our team you will: As an SAP Enterprise AI Manager in Accenture’s SAP Business Group, you will lead technical delivery and architecture across multiple client engagements simultaneously. You will hold architecture decisions across the full Enterprise AI stack, lead client-facing technical design sessions with senior management, and own delivery quality across the five deployment gates. You carry responsibility across multiple teams — Accenture engineers, client BTP and basis, security, and functional leads — and contribute to business area decisions on platform direction. We are looking for experience in the following skills: Architectural authority across the full Enterprise AI stack: HANA Cloud graph and vector store sizing, CAP service layer design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate configuration, and citation-enforcement architecture at enterprise scale. Experience leading client-facing technical design sessions with senior management: translating Cortex platform capability into delivery outcomes, handling security and procurement governance, and owning the technical terms of a deployment. Ability to lead and coordinate a cross-functional delivery team across multiple workstreams — Accenture engineers, client BTP, basis, security, and functional leads — through all five deployment gates from subaccount creation to production handover. Deep understanding of enterprise security and compliance requirements for AI platforms: model route approvals, egress whitelisting, data masking and clearance governance, role-based domain access, and sovereign model routing. Track record of taking AI delivery assets from pilot to repeatable method: packaging ingestion templates, graph structure definitions, prompt and persona libraries, and deployment runbooks that compress time-to-value on the next account. Sufficient hands-on technical depth to review architecture trade-offs, challenge engineering decisions, and credibly lead Cortex technical sessions with client senior IT — without requiring day-to-day implementation involvement. Ability to manage roadmap sequencing under execution pressure: alpha release milestones, performance optimisation targets (query time reduction), UX refactoring, offshore capacity constraints, and agentic kernel development in parallel. Leads project status updates and design sessions with client senior management; able to represent Enterprise AI credibly to Accenture leadership and contribute substantively in those forums. Set yourself apart: Experience delivering enterprise SAP or AI platforms, with a minimum of two full project lifecycles where you held architecture or delivery leadership accountability across multiple teams. Demonstrable record of leading cross-functional technical teams through a complete deployment lifecycle — from subaccount provisioning and ingestion pipeline build through to client handover and production go-live. Direct experience with Claude Code, MCP-based tool integrations, or equivalent agentic AI frameworks in a controlled enterprise environment, including connector setup, security approval, and end-to-end testing. Experience with SAP ECC or S/4HANA system internals at architecture depth: data dictionary, CDS views, RICEFW objects, configuration tables, workflow logs — the source material the Cortex extractor layer surfaces and the graph layer reasons over. Track record of directly supervising and developing engineers, including onboarding to a complex technical platform, setting weekly priorities, providing structured feedback, and managing direct reports. Informed point of view on the direction of enterprise SAP AI — agentic kernels, near-real-time extraction, peta-byte scale knowledge planes — and the credibility to bring that perspective into client design discussions and Accenture business area conversations. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services, we are known for. Closing Date for Applications 28/02/2027 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. #LI-EU About Accenture 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 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.