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IBM

SAP Consultant - Celonis

IBM

Published 10 Apr 2026
Monroe, LA, USA
Full Time

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Role Highlights

Languages used

SQL
Python

Key skills

Machine Learning
Data Science
Data Engineer
NLP
Conversational AI
Integrations
Cloud
Transformation
Operations
Automation
KPI
Routing
Optimization
CRM

Tools, Libraries and Frameworks

IOS
Red Hat
IBM
SAP

Description

The role involves advising clients on optimizing customer strategies and developing transformation roadmaps to enhance customer experience. The consultant will identify process inefficiencies and automation opportunities to reduce costs and improve operational efficiency. Responsibilities include implementing automation solutions and establishing key performance indicators to monitor progress. The position requires designing customer service strategies through the use of conversational technologies and cloud-based solutions. The consultant will manage change effectively to ensure successful transformations and collaborate with clients to deliver tailored business solutions.

Required Qualifications and Skills

The role requires at least three years of hands-on experience with Celonis EMS or IBC, including data integration and process analytics. Candidates must possess strong SQL and PQL skills, along with functional knowledge of SAP ECC and end-to-end business processes. Proficiency in implementing automation solutions using UiPath, Automation Anywhere, or Blue Prism is necessary. Additionally, the position requires experience with CCaaS solutions and conversational AI platforms to optimize customer operations.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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