JobDescription:
ThePNE Data Foundations Sr Lead ensures that Pet Nutrition Europe(PNE) has a strong, governed, and scalable data foundation toenable high-quality analytics and insights. This role is criticalin bridging the gap between the AOE D&A data team and PNE,ensuring alignment with global data models, governance principles,and strategic data initiatives such as the DDF (Digital DataFoundation)program.
What are welookingfor?
* Preferrededucation Is a university degree In business orIT
* Strong background indata engineering, data governance, and data architecture, ideallyin a multinational or matrixedorganization.
* 5+ years ofexperience in data engineering, analytics, or data management, withhands-on expertise in cloud-based data platforms (e.g., Azure, AWS,GCP, Snowflake).
* Provenexpertise in designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advancedanalytics.
* Experience withdata governance frameworks, master data management (MDM), metadatamanagement, and ensuring data compliance with globalstandards.
* Deepunderstanding of SQL, Python, Spark, or other relevant dataprocessing technologies used for data transformation and analyticsenablement.
* Familiarity withmodern data architectures, including data lakes, data warehouses,and data meshprinciples.
* Experienceworking with global and regional teams to align on data strategy,governance, and bestpractices.
* Strongknowledge of data quality frameworks and best practices forensuring high integrity, reliability, and consistency of dataassets.
Whatwill be your keyresponsibilities?
* DataGovernance & Compliance:Ensure all PNE data assetsfollow the governance frameworks, data quality standards, andsecurity policies defined by the AOE D&A datateam.
* DataModel & Architecture Alignment:Ensure that analytics solutionswithin PNE fully leverage the data models, governance structures,and best practices established at the AOElevel.
* DataEngineering & Infrastructure:Oversee the design, development,and maintenance of data pipelines, integrations, and ETL processesto ensure efficient data flow and accessibility for analytics usecases.
* Collaboration& Stakeholder Management:Act as the key connectionbetween AOE D&A and PNE, facilitating knowledge-sharing,alignment, and implementation of strategic data initiatives,including the DDFprogram.
* DataPlatform Optimization: Workclosely with AOE data teams and PNE analytics teams to optimize thedata infrastructure, ensuring performance, scalability, and costefficiency.
* Metadata& Asset Management: Driveconsistent metadata management and data asset governance, ensuringdata reliability, accessibility, and standardization acrossPNE.
* Enablement& Best Practices: Educateand support the PNE teams in data stewardship best practices,ensuring they effectively leverage governed data assets andself-servicecapabilities.
* Monitoring& Data Quality Assurance: Implement datavalidation, lineage tracking, and anomaly detection mechanisms toensure high data quality across PNE analyticsinitiatives.
Whatcan you expect fromMars?
* Work with diverse andtalented Associates, all guided by the FivePrinciples.
* Join a purpose driven company,where we’re striving to build the world we want tomorrow,today.
* Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity.
* An industry competitive salary andbenefits package, including companybonus.
#TBDDT
Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.