Jobs at Accenture

Leads the full lifecycle of large, competitive SAP sales pursuits from opportunity shaping through contract execution. Develops win strategies, executive relationships, business cases, ROI narratives, and differentiated SAP solutions while coordinating sales, delivery, technology, finance, legal, and alliance teams. Manages SAP and partner ecosystem relationships, commercial negotiations, and value-selling efforts. Travel may range from 25% to 100% depending on client and business needs.

Drive internal pipeline growth for Accenture's Source-to-Pay practice by identifying, qualifying, and advancing S2P opportunities across Market Units and Industries. Act as internal sales engine and trusted advisor, run activation sessions, develop opportunity briefs and preliminary business cases, maintain market intelligence, and hand off qualified leads to Sales Capture Leads to support pursuit and close.

Drive internal pipeline growth for Accenture's Oracle practice by identifying, qualifying, and advancing procurement and supply chain transformation opportunities. Act as trusted advisor to Market Unit and Industry leadership, run activation sessions, develop opportunity briefs and business cases, and hand off qualified leads to Sales Capture Leads. Track pipeline activity, maintain market/competitive awareness, and promote Oracle practice capabilities across internal teams.

Identify and qualify mid-market opportunities for Accenture Google Business Group, engage key decision-makers, educate clients on Google Cloud solutions, build pipeline, and hand off qualified leads to sales executives and engineers. Focus on lead generation, market outreach, and prioritizing high-value prospects.

Lead ontology lifecycle: gather requirements, design OWL/RDF schemas, validate with SHACL/ShEx, map relational data via R2RML/RML, build/maintain knowledge graphs, coach SMEs, and collaborate with data engineering and AI teams to deliver standards-compliant semantic models.

Design, deploy, and operate AI and accelerated computing infrastructure across cloud, on-prem, and hybrid environments. Build and manage XPU clusters, orchestrate workloads with Kubernetes/Slurm/Run:ai, integrate model-serving and governance, tune performance using NVIDIA tools, create documentation and runbooks, and provide troubleshooting and optimization for large-scale training, inference, and agentic AI workloads. Travel to client sites as required.

Lead go-to-market and delivery for Software Defined Vehicle (SDV) solutions: shape solution architecture, support sales pursuits, lead multidisciplinary delivery teams, translate client objectives into end-to-end SDV solutions across embedded software, E/E architectures, cloud, data, and AI, and develop repeatable offerings, assets, and accelerators.

Manage full-cycle global recruiting across an ecosystem of ventures, acquisitions, and standalone businesses. Source, screen, coordinate interviews, manage offers, and maintain ATS data. Use AI-enabled recruiting tools and analytics, advise stakeholders on hiring strategy and market intelligence, and ensure compliance with recruiting standards.

Design, configure and implement Gemini Enterprise (GECX) and CCaaS solutions on Google Cloud. Architect enterprise AI agents, integrate contact center platforms, support client-facing delivery, manage onshore/offshore teams, and plan Agile delivery to meet business and CX metrics.

Design, architect, and implement enterprise Gemini Enterprise for Customer Experience (GECX) and cloud-based CCaaS solutions. Build AI agents, integrate contact center platforms, guide delivery teams, estimate and manage agile projects, and advise clients on technology strategy, observability, and migration.

Lead design, development, documentation, and implementation of Körber PAS‑X MES and Electronic Batch Records (EBR). Implement MES integrations with ERP and control equipment, validate EBRs to GxP/FDA standards, document configurations, define business requirements with stakeholders, respond to proposals, and manage client relationships.

Lead design, configuration, testing, and deployment of Oracle Cloud PPM solutions. Facilitate stakeholder workshops, advise on data conversions, guide testing and cutover, and manage deliverables for large-scale Oracle Cloud Project Management implementations.

Lead process excellence engagements using AI and automation: assess industry trends and benchmarks, design AI-integrated future-state processes and AX designs, perform process analysis, build data-driven frameworks and change-impact assessments, create AI agents and visualizations, and contribute to domain knowledge and playbooks.

Serve as a hands-on mainframe subject-matter expert and technical lead for modernization efforts. Design, develop, and modernize mainframe applications; evaluate legacy systems and propose rehosting/refactoring strategies; lead implementation from inception to go-live; mentor junior staff; collaborate with cross-functional teams and senior leadership to secure buy-in and deliver solutions.