JOB DESCRIPTION
Job Description:
Location : Aimargues (FR), Slough (UK) or Veghel (NL)
Segment : Mars Global Services - R&D Solutions
Contract : permanent
As part of the MGS R&D solutions analytics team, the Lab Data Governance Senior Scientist collaborates with stakeholders from segment and/or MGS R&D solutions Leadership Team to define lab data governance rules and work closely with Digital Technologies to assess the best technical solution.
The job holder has the ability to influence people to convince them to adopt the best solution that will be sustainable and will be beneficial for MGS R&D role requires a self-starter with good project management skills, able to work independently, with strong action orientation and drive for results.
What are we looking for?
Proven experience (5+ years) in a data governance or data management role.
Excellent communication skills and the ability to collaborate effectively across different departments.
Understanding of data governance principles, policies, and best practices.
Functional knowledge of master data domains (lab, vendor, material, customer)
What will be your key responsibilities?
DATA GOVERNANCE
- Collaborate with business leaders, data owners, and other stakeholders to understand data requirements and establish data governance policies.
- Collaborate with DT team to ensure the deployment and maintenance of lab data governance rules. Owns the data RACI and ensures that the appropriate information is available to the right level of stakeholders.
DATA ROADMAP
- Define the data needed now and in the future for a digital way of working (Data roadmap). In collaboration with the Lab analytics team and DT team, define the owner, the source and the timeline when this is needed.
DATA QUALITY
- Establish data quality standard and KPI.
- Conduct regular audits to ensure data quality and compliance with established standards. Drive continuous improvement of data quality.
- For the data that is already unlocked, identify areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, skills enhancement in collaboration with the digital technology team and/or functional experts.
- Align the data, metrics definition and structure across regions to ensure the data can be gathered consistently.
- Is accountable to provide functional knowledge to the solution architect to ensure there is one version of the truth that is accessible for all relevant people.
- Foster a collaborative environment to promote cross-functional engagement in data governance activities.
What can you expect from Mars?
At Mars, we believe in a relationship of mutual trust, dignity and respect between our company and Associates that is more meaningful than the standard employer/employee relationship.
As Associates, we can expect to be respected, supported and valued as individuals, to be treated fairly and equitably.
The opportunity to learn and develop, taking charge of your own career across Mars.
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Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
