Expert Data Quality for Product Master Data at Bosch Group

Aveiro, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Management, Master Data Support, Communication Skills, Customer-Oriented Mindset, Presentation Skills, Coordination Skills, Stakeholder Management, Team Player, Agile Project Management, PM Tools, Cross-Functional Teams, International Environment

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide. Job Description Project Context Within the tranS/4ming projects, HC/BDO-PDM is responsible for ensuring high-quality Product Master Data (PMD) is available in the new S/4 system. This is achieved by staffing PMD workstream leads, implementing PMD maintenance workflows in MDG-M, and preparing product master data through scoping and cleansing activities. The goal is to ensure business process requirements are fulfilled and to enable a smooth and reliable data migration to S/4HANA. The PMD team involved in tranS/4ming consists of 6 internal employees and 3 BGSW employees, working in a cross-functional and international setup. Key Responsibilities Analyze Product Master Data using reports and data quality tools to identify issues that may impact business processes and migration targets; Proactively contact and align with business responsible stakeholders regarding identified data quality issues; Drive and support the resolution of data quality issues in close cooperation with business responsibles and HC/ECM teams; Monitor progress of data quality improvements, ensure timely follow-up, and escalate risks when required; Act as a data quality expert within the PMD workstream, ensuring adherence to data governance and quality standards; Support coordination and alignment activities across stakeholders involved in the tranS/4ming projects. Qualifications Degree in (Business) Informatics, Economics, or a comparable field; Solid experience in data quality management, master data support, or related support activities; Excellent communication skills with a strong customer-oriented mindset; Strong presentation, coordination, and stakeholder management skills; Strong team player with an open mindset for change and fast-moving environments; Experience in agile project management and PM tools such as Atlassian, Jira, and Confluence; Proven experience working with cross-functional teams in an international environment; Willingness to travel occasionally (approximately 10%). Additional Information What we offer you: Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity. Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!

Responsibilities

Analyze Product Master Data to identify issues impacting business processes and migration targets. Drive the resolution of data quality issues in collaboration with stakeholders.