Master Data Product Manager

Master Data Product Manager

Roles & Responsibilities

• Data Governance & Management:

  You will be the Subject Matter Expert (

  SME

  ) for data structure definitions, data flows, and access rights. Your responsibilities include managing, maintaining, and optimizing business processes to ensure the accuracy, consistency, and governance of

  SAP

  data structure setup. You'll also ensure compliance with governance policies and industry regulations.

• Project & Process Leadership:

  Shepherd projects, ensuring seamless data flow between systems and platforms. You will collaborate with

  IT

  and business teams to identify and resolve complex data structure governance issues and operational challenges. This includes working on business processes such as change control, deviation support, and troubleshooting process issues.

• Continuous Improvement:

  Monitor and analyze the success of structure setup criteria, implementing continuous improvements to enhance operational efficiency. You will use project management and visualization tools to track and manage tasks, dependencies, and risks.

Technical Skills

• A strong business and technical understanding of

  SAP ERP

  , including the implications of decisions.
• Proven experience working on cross-functional process governance with a data orientation.
• Proficiency in

  MS Office

  , project management tools, and visualization tools.
• Experience managing complex projects involving

  SAP

  .
• Master data knowledge in domains such as

  Material Master, Production Master

  , and

  Plant

  .
• Experience in

  SAP S/4, SAP MDG

  , and

  MES

  is a plus.

Qualifications

• A Bachelor's degree in a

  STEM

  discipline with experience in

  SAP ECC

  , master data management, data/process governance, or data operations within a biotech manufacturing context.
• Experience leading data-oriented projects across large-scale operations.

Soft Skills

• Leadership:

  Strong ability to coordinate, manage, and drive initiatives.

• Analytical Skills:

  Excellent analytical and problem-solving skills with a focus on data accuracy and process optimization.

• Collaboration:

  Strong cross-functional collaboration skills, with the ability to communicate technical concepts to non-technical partners.

• Proactiveness:

  High degree of initiative and self-motivation with ownership of results, and the ability to manage multiple priorities successfully.

• Teamwork:

  Team-oriented, with a focus on achieving team goals.