Senior Manager, Customer Data & Analytics Job

Who We Are Looking For

The Customer Data & Analytics Lead will drive customer centricity across AGCO’s global customer data analytics through highly impactful, innovative visualizations of CX data, analytics and metrics. This role will define and own the critically important customer data strategy in conjunction with AGCO Strategy & Transformation Data & Analytics Strategy, establishing business data requirements and determining with the brands how that data is acquired and shared across AGCO for marketing purposes in a region. This data will then be used for the creation of insights in customer and NPS analytics which will better help AGCO understand and serve our customers.

Enabling the quality and volume of AGCO’s customer data and insights for analytics and the execution of customer focused analytics as managed by this role will determine the effectiveness of AGCO’s Strategy and differentiation from competition.

This position will be responsible for building a robust process for capturing customer data and defining use cases and growing analytics maturity in the customer data area as well as the ongoing management of this data & analytics focus globally including management of a team who provide data services and analytics insights. The Customer Data & Analytics Lead will work closely with cross-functional business groups, IT, legal and the AGCO analytics hub to ensure an improved customer experience, relevant personal and timely insights, and a more efficient AGCO business by leveraging data and analytics while remaining within the parameters set by GDPR and other legal requirements. The Incumbent will directly supervise, develop and architect go-forward AGCO customer data & analytics use case development and execution under the direction of the Customer Experience Director to continually raise the standards of AGCO customer care resulting in a customer and dealer experience that significantly differentiates AGCO from its competitors. This role will also help use in our data and analytics maturity as we increasingly leverage big data and AI capabilities to execute prescriptive and predictive use cases.

What You Will Do

• 
  Define and own the global customer data strategy and key analytics use cases in conjunction with S&T
• Determines data acquisition strategy and drives a compliant approach by region
• Build dealer data integration strategy in conjunction with S&T and align with other data domains
• Determine together with the brands how data is shared across brands for marketing purposes in a region and how analytics insights are implemented for making better customer and business decisions
• Install data quality process and standards metrics
• Determine data quality improvement areas and action
• Identify, prioritize and execute customer analytics use cases
• Work across the P&L teams, IT, and other business functions and build a set of data and analytics requirements from internal digital, marketing, sales, IT and external partners, such as dealers to yield improved CX and business growth
• Build global customer analytics strategy and approach to manage a onetime customer needs segmentation and ongoing review of this segmentation plus proactively drive cx and growth improvements. Present insights to senior staff in various functions.
• Build and manage a process to collect and prioritize CX use case requests for analytics
• Build a sound communication and change management approach to implement use case outcomes and insights to deliver the value of customer data and analytics insights globally
• Develop a highly impactful, innovative way to visualize and communicate CX data, metrics and analytics insights in all AGCO sites easily understood by all levels – including CEO and execute management CX analytics requirements
• Ensure a fast-moving challenging environment for team members to retain and attract the best talent
• Change agent to drive data and analytics driven decision making

What You Will Bring

• 
  Master’s degree of information systems, data science statistics, applied mathematics, computer science, or a related field.
• 9-12 years of business experience
• Understanding and/or Proficiency in two or more languages/programs: Python and/or R, SQL (Preferred), SAS, Spark, etc
• Understanding of data science and data governance principles
• Industry background are required in relevant field
• Strong cross-functional thinking and communication skills are the other key attributes needed
• Proficiency level in leading data and reporting output
• Proficiency level in managing and translating analytics requirements

Who You Are

History of and ability to perform a key role in a large organization, including:

• Strong leadership skills
• Business acumen
• Good communication at all levels of the organization
• Customer first culture
• Team player
• Problem solving skills
• Process oriented

• Coaching and developing
• Driving change and execution
• Strategic influence and planning

Percentage of travel required: 26-50%

This role is open for multi locations.