Consultant Data Management & AI-Ready Data

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Role Overview

We are looking for a Consultant Data Management who combines strong operational expertise in SAP master data / MDM with a growing understanding of AI-ready data. In this role, you act as the central contact person for divisions and functional units on data lifecycle, data quality, and master data governance topics - while also contributing to Evonik’s AI-Ready Data initiative by helping to prepare, structure, and enrich data so it can be reliably used as a foundation for AI applications.

Key Responsibilities

Data Management & Governance (core tasks)

• Act as the expert for the relevant data domain(s) and primary contact person for divisions and functional units, driving continuous process improvement in this key-contact role.
• Conduct regular knowledge-sharing sessions to capture “lessons learned” and streamline processes across the Data Community.
• Serve as the contact person for designing further technical development of the data lifecycle processes.
• Foster process improvements and support the administration of data management processes.
• Continuously review and safeguard the quality of process documentation; deliver training sessions for the Data Community.
• Support the implementation of projects and change requests, with a focus on extended data preparation and data curation.
• Ensure Data Readiness for AI Use Cases and know the framekwork to do so.
• Identify areas for data quality improvement and help resolve data quality issues through appropriate error detection, correction, and process control methods.
• Report on the status of master data setup workflows across the organization; define and monitor KPIs and alerts for timeliness, accuracy, and error conditions.
• Check and verify records submitted by the business as the final validation step for user requests.
• Ensure alignment of master data authorization for stakeholders and support related applications (e.g., Concur).
• Initiate process improvements and keep existing process documentation and work instructions up to date.
• Participate in compliance audits and respond to audit queries as required (e.g., fraud-prevention processes such as the four-eyes principle).
• Provide backup coverage and perform other duties, including shift rotation with team members under the “Buddy System” as required.
• Support system integration or regression testing during project and change implementations, where required.
• Facilitate the development, implementation, training, and continuous improvement of a global setup/maintenance process within the assigned data domains.
• Drive automation initiatives (e.g., BRF+) and data quality improvements, working closely with product owners (Team Leads) and other business units to improve data-onboarding productivity and turnaround times.

AI-Readiness (extended scope)

• Enable AI Data Readiness for the business, positioning data as a reliable foundation for AI use cases and applications.
• Support the transformation of operational, traditionally curated master data into standardized, governed, and reusable “AI-ready” data assets.
• Contribute to the definition of metadata, business glossaries, and semantic layers (e.g., business terms, synonyms, calculation logic) to make data understandable for both business users and AI agents/models.
• Participate in AI Discovery Workshops and data-readiness assessments together with business stakeholders to evaluate use cases and identify the data requirements for AI adoption.
• Support the identification and resolution of data quality issues relevant to AI/ML consumption (e.g., completeness, consistency, machine-readability) in collaboration with Data Domain Management and AI teams.
• Contribute to the ongoing development of Evonik’s AI-ready data framework and Data Catalog, ensuring data products remain discoverable, governed, and reusable for analytics and AI use cases.

Technical Skills Requirements

• Minimum 5 years of experience in SAP MDM / Data Management / Data Governance (mandatory).
• Experience in a shared-service industry environment (optional, but advantageous).
• Experience in the field of AI-ready data and the application of AI within Enterprise Data Management.
• Knowledge of SAP AI capabilities (SAP BTP), including basic exposure to SAP Datasphere/SAP HANA and data-provisioning concepts for analytics and AI use cases.
• Previous experience with SAP ERP systems is an added advantage.
• Working experience in an S/4HANA environment is a plus.
• University degree, preferably in IT, Business, Engineering, or a comparable field.
• Solid knowledge of working with SAP MDM.
• Good analytical and learning skills, with the ability to understand complex situations.
• Knowledge of Microsoft Office 365.
• Experience creating Power BI reports.
• Basic understanding of metadata management, business glossaries, and semantic layers to support AI-ready data structuring.

Standard Requirements

• Good understanding and application of tools, principles, concepts, and techniques related to requirements, data, usability, and process analysis.
• Strong conceptual ability to grasp complex problems/information and represent ideas in a simple, easy-to-understand way.
• Ability to understand business processes from a customer perspective.
• Ability to work in a team environment, effectively interacting with others.
• Detail-oriented team player with strong organizational, problem-solving, and leadership skills.
• Self-directed, with experience managing priorities and timelines.
• Results-oriented, demonstrating adaptability, flexibility, and resourcefulness.
• Very good command of English and work experience in a multi-national environment.
• Willingness to work rotating shifts (2 shifts, 24/5), with ROTA changes on a biweekly basis.

Your Application

To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at www.evonik.com/en/careers.html.

Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.

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