AGCO is a global leader focused on the design, manufacture and distribution of agricultural machinery and infrastructure. As a Fortune 500 company and one of the global leaders in agricultural equipment manufacturing, we have an extensive network of over 9,200 dealers and serve more than 140 countries. While headquartered in Duluth, Georgia, AGCO has manufacturing facilities all over the world creating and distributing their full-line of products, including Challenger, Fendt, GSI, Massey Ferguson, and Valtra.
In our AGCO journey towards customer centricity and digitalization, the necessity for maintaining high quality, compliant and actionable customer data is a key success factor.
The purpose of this position is to ensure the acquisition, maintenance and enhancement of our customer data globally, in a consistent, effective and highly automated way. The compliancy and actionability of our data is key!
The role owner will collect, prioritize and manage all requests related to customer data processing (e.g. cleansing) from the business and prioritize for the customer data team. Furthermore, the role owner will collaborate with the Customer Data Product Manager to enhance the customer MDM data solution (e.g. automation, AI to increase accuracy of processing, data quality standards and rule sets). Moreover, the role owner will evangelize best practices with regards to customer data processing in the organization.
You and your team will be part of the global customer data and analytics team delivering a best-in-class service to the organization including design and operation of artificial intelligence in the customer MDM solution, data quality and completeness reporting, definition of data quality standards, definition and implementation of data cleansing rules and algorithms and advanced customer analytics.
What You Will Do:
Establish, manage and develop the customer data team and customer data management capability
Delivery and enhancement of the overall solution for data processing in line with the recommendations provided by IT, data quality and data governance
Collect and prioritize customer data processing requests from the business to maximize customer value
Planning management (task prioritization, resources management) to support adequately the business request within specified SLAs
Recruiting, training and coaching of the team to strengthen internal capabilities
Lead the implementation and operationalization of the customer data management LifeCycle process (Source, Acquisition, Transformation, Validation, Aggregation, Maintenance, Access/delivery)
Develop, test and enhance the automation process for data enriching and cleansing
Support the definition, development, testing and implementation of the IT solutions in collaboration with Data
Collect SLA requirements from business, IT and legal stakeholders and the centreal data governance team, and provide accordingly recommendations in terms of resources requirements and prioritization of activities
Report out data quality, completeness, actionability and SLA metrics to the organization to brand organization and managementCustomer first mindset
What You Will Bring:
Experience as a data steward or data scientist
Experience in managing teams in the master data or data science area
Experience in SAFe (agile)
Strong knowledge about data matching and transformation logics and solutions (model, algorithm)
Strong knowledge about data management platforms and best practices (validation, matching, deduplicate)
Experience / skills in analytics programming (R, Python)
Experience with cloud computing (e.g. AWS)
Who You Are:
Excellent communicator in written and spoken English
Task oriented together with self-starter ability to initiate automation review and enhancement
Intellectual curiosity, continuous improvement
Ability to work within a team of peers to enable best practice identification and problem solving
Attractive, fair remuneration including participation in our bonus scheme and reimbursement of commuting expenses
Cafeteria system with additional elements you can pick from
Balance of work, family and free time due to flexible working time and the possibility of hybrid/remote work including home office monetary allowance
Private health insurance, dental services and compensation for the purchase of computer monitor glasses
Employee Assistance Program including professional counselling, webinars, sports challenges and newsletters
Development opportunities including monthly trainings held by the local training team and teacher guided language classes