SAP MDM Product Owner - Finance

What you will do

Let's do this. Let's change the world.

Role Description:

We are looking for an experienced SAP Master Data Governance (MDG) Product owner to co-design and drive the implementation of SAP Master Data Governance (MDG-Finance) solutions. In this role, you will architect scalable, innovative systems, provide expert technical guidance, configuration, development and maintenance that align with Amgen's strategic objectives. You will collaborate closely with the MDG Product Owner, MDM Technical lead, and other SAP S/4 Functional and technical architects and other functional MDM teams to implement, enhance and optimize MDG Master data replications and Integrations, ensuring SAP MDG delivers maximum value across the organization.

Roles & Responsibilities:

• Collaborate with business collaborators to understand data governance requirements and translate them into effective MDG solutions.
• Design, configure, and implement SAP MDG solutions for Finance data domains (Finance (MDG- GL Account, MDG-Cost Center, MDG - Profit center and MDG - CC Hierarchies, FRS (Financial reporting structure & Item), Cost Element, and Internal Orders.
• Provide technical leadership and guidance to development teams, ensuring alignment to best practices and standards.
• Configure and customize SAP MDG on SAP S/4 Hana accordance with the MDM strategy.
• Develop and maintain data models, workflows, and business rules within the MDG framework.
• Collaborate with multi-functional teams to integrate MDG with other SAP modules and external systems.
• Ensure compliance with data governance policies and standards.
• Participate in project planning, estimation, and risk assessment.
• Mentor junior team members and contribute to knowledge sharing.
• Create comprehensive technical documentation, including design specifications, architecture diagrams, and user guides.
• Conduct training sessions for key partners and end-users as needed.
• Follow Agile software development methods to design, build, implement, and deploy.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Master's degree and 4 to 6 years of Business, Engineering, IT or related field experience OR
• Bachelor's degree and 6 to 8 years of Business, Engineering, IT or related field experience OR
• Diploma and 10 to 12 years of Business, Engineering, IT or related field experience
• Expertise in the implementation of SAP MDG solution (configuration, design, build, test and deploy) for finance Domains like MDG- GL Account, MDG-Cost Center, MDG - Profit center and MDG - CC Hierarchies
• Experience working with SAP FI/CO, MM, SD or PM.
• Deep understanding on key SAP MDG concepts - Data Modeling, UI Modelling, Process Modelling, Governance Process, Mass Processing, DRF, DIF, BRF+ and Consolidation Features + DQM.
• Experience in configuring rule-based Workflows (serial, parallel and combination) and User interface modelling.

Preferred Qualifications:

• Expertise in Implementation of SAP MDG Solution for masters like Material, BP - Vendor and Customer, & custom data models etc.
• Experience with SAP UI Technologies - FIORI, WebDynpro ABAP, WEBUI, FPM and UI5
• Experience working in SAFe development environment.
• Understanding of enterprise data strategy, data governance, data infrastructure.
• Experience in integration techniques like ALE, SOA
• Experience with collaborator management, ensuring seamless coordination across teams and driving the successful delivery of technical projects.
• Experience with SAP Business Technology Platform (BTP), DI(Data Intelligence), CPI(Cloud Platform Integration) & SAP Datasphere.
• Familiar with AWS, Azure, or Google Cloud

Professional Certifications:

• SAP MDG certification (preferred)
• SAP MM or SD Certification (Preferred)
• SAP ABAP Certification (preferred)
• Agile Certified Practitioner (preferred)

Soft Skills:

• Strong analytical abilities to assess and improve master data processes and solutions.
• Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical collaborators.
• Effective problem-solving skills to address data-related issues and implement scalable solutions.
• Ability to work effectively with global, virtual teams