Consultant Data Management & AI-Ready Data

Consultant Data Management & AI-Ready Data

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.

• Company is

• Evonik Malaysia