The Data Governance Manager - Supply Chain/Manufacturing will be responsible for ensuring data practices, governance and standards are in place to enable accessibility, timeliness, quality, completeness, and continuous improvement. This person will be the single-point of contact representing the NA Supply Chain Region to drive Data Stewardship and accountability for connectedness with the Global Supply Chain Data & Analytics (SCDA) program across Data Mesh and Manufacturing Data Platform & the Chief Data Office. This role will be accountable for aligning best practices and approaches across the end-to-end Supply Chain including our Manufacturing Sites to achieve a Unified & Connected enterprise data Mesh Model.
This role can be hybrid based out of Newark, NJ or Chicago, IL but open to other Mars Wrigley sites located in CST/EST.
What are we looking for?
Bachelor's degree in Analytics or related quantitative fields (Chemical Engineering, Industrial Engineering, Mechanical Engineering, Computer Science etc.) Advanced degree is preferred
Minimum 7 years of experience in Data Governance, Stewardship, Data Engineering role or equivalent
Experience within the consumer products and manufacturing industries is strongly preferred
Experience in data management and data engineering capabilities within a plant/factory
Strategy and vision- ability to create a long term data
What will be your key responsibilities?
Identify areas for data quality improvements and help to resolve data problems through the appropriate choice of error detection and correction, process control and improvements, skills enhancement, building understanding for excellent execution in collaboration with the digital technology teams.
Provide insights on identified issues through analytical approaches to data with the appropriate stakeholders across the organization.
Manage continuous improvement action plans with the respective stakeholders to improve data completeness, timeliness and data quality as it relates to supply chain data covering both master and transactional data sources.
Own the data RACI and ensures that the appropriate information is available to the right level of stakeholders. Presents results in a compelling and clear manner to pinpoint areas of improvement.
Create a data design to ensure there is always only one point of reference (one version of the truth).
Create the set-up to contextualize data & create relationships between datapoints that allow for rapid insight generation leveraging business logic and analytical practices.
What can you expect from Mars?
Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
Best-in-class learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus.
Ability to travel to 15-20% to manufacturing sites
#LI-AM2 #LI-Hybrid
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.
