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The job outlines the need for a Data Science Manager at Accenture, focusing on delivering innovative solutions leveraging data and AI resources.

Lead the design and implementation of ServiceNow solutions, providing technical guidance, ensuring alignment with business goals, and mentoring development teams.

The role involves providing leadership in data science projects in order to drive innovation and deliver value through data-driven insights.

The Lead ServiceNow Developer/Architect will lead implementation projects, architect solutions, mentor juniors, and ensure best practices in ServiceNow development.

As an SAP S/4HANA Supply Chain Consultant, you will provide support for SAP modules, lead configurations, assess impacts of conversions, and ensure efficient system setup for SAP S/4HANA. Responsibilities also include conducting workshops and training sessions with clients.

The Senior ServiceNow Developer will implement complex ServiceNow solutions, provide technical consulting, ensure adherence to standards, and lead a small development team.

The role involves developing, customizing, and maintaining ServiceNow applications, collaborating with teams to meet business needs, and ensuring alignment with best practices.

Lead end-to-end Oracle finance transformations as the finance solution and integration architect. Own Oracle Cloud ERP Financials and EPM design (EPBCS, FCCS, EDMCS), set standards, manage programmes and senior stakeholders, grow accounts, and embed AI-augmented delivery across implementation, testing and deployment.

Develop, customize and evolve SAP Commerce Cloud (Hybris) e-commerce solutions (B2B/B2C). Build extensions, data models and integrations via REST/SOAP with ERP, payment systems and legacy systems. Implement catalog, cart, checkout, promotions, pricing and order functionality; manage Impex, cronjobs, Backoffice and OCC APIs. Participate in architecture, performance and cross-team collaboration.

Design and maintain conceptual, logical, and physical data models (ER, dimensional, Data Vault). Translate business requirements into data mappings and transformation rules. Collaborate with Data Engineers to implement and validate ETL/ELT pipelines using Python, PySpark, and SQL. Maintain metadata and governance artifacts. Communicate with stakeholders in an Agile Scrum environment using Jira and Confluence. Support continuous improvement and cloud data platform adoption.