Consultant Data Management & AI-Ready Data

Evonik; Selangor; Presencial; MYR 245.000 - 409.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Descripción de la vacante

Evonik sucht einen erfahrenen Consultant Data Management, der SAP MDM-Expertise mit dem wachsenden Verständnis für AI-ready Data verbindet. Sie fungieren als zentrale Kontaktstelle für Bereiche, gestalten den Datenlebenszyklus mit und tragen zur Governance und Datenqualität bei.

Sie arbeiten an der Vorbereitung, Strukturierung und Anreicherung von Daten, um eine zuverlässige Grundlage für KI-Anwendungen zu schaffen und so Evoniks AI-Initiativen zu unterstützen.

Formación

• Mindestens 5 Jahre Erfahrung in SAP MDM / Data Management / Data Governance
• Erfahrung in einer Shared-Service-Umgebung vorteilhaft
• Erfahrung im Umfeld von AI-ready Data-Ansätzen und Data Catalog vorteilhaft

Responsabilidades

• Experte für relevante Datendomänen, primärer Ansprechpartner für Divisionen und Funktionsbereiche.
• Regelmäßige Knowledge-Sharing-Sitzungen zur Optimierung von Prozessen.
• Gestaltung weiterer technischer Entwicklungen des Data-Lifecycle.
• Unterstützung bei Data-Management-Projekten und Change Requests.
• Sicherung der Datenqualität und Schulung der Data Community.
• Koordination von Data Readiness für AI-Anwendungsfälle.
• Durchführung von Audits und Beantwortung von Audit-Anfragen.

Conocimientos

SAP MDM

Datenmanagement

DatenQualität

Data Governance

BRF+

Herramientas

BRF+

Descripción del empleo

Was wir bieten

Bei Evonik sind Sie Teil eines weltweit aktiven Chemieunternehmens und arbeiten an den Schnittstellen der wichtigsten Technologien und Industrien. Ob gesunde Ernährung, klimaschonende Mobilität oder grüne Energie - unsere Produkte verbessern das Leben der Menschen, heute und morgen.

Nach unserer Überzeugung entsteht Erfolg nicht im Alleingang, sondern durch Ideenvielfalt und Teamarbeit. Ob Naturwissenschaften oder Ingenieurwesen, Berufseinstieg oder mit Berufserfahrung, ob im Geschäft, in der Produktion oder in welchem Bereich wir auch arbeiten - wir motivieren uns gegenseitig, egal wie groß die Herausforderung auch sein mag. Seien Sie dabei, seien Sie "Part of Something Special."!

Informieren Sie sich gerne über unsere vielfältigen Benefits: https://www.evonik.com/de/karriere/warum.html

Hier erfahren Sie mehr über Evonik direkt von unseren Mitarbeitern: https://www.evonik.com/de/news/unser-team.html

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 fiel