Product Support, Data and Analytics Manager

7 hours ago

Grapevine, United States Kubota Full time

For Earth For Life

BASIC PURPOSE AND SCOPE OF POSITION

The Manager of Data and Analytics leads a team responsible for delivering comprehensive data solutions and insights to improve the operations and performance of the Kubota Product Support enterprise. This position is responsible for creating a vision for establishing, implementing, and maintaining tools, systematic environments, and strategies that ensure data from various systems/sources is readily available for use by the Data and Analytics team, including self-serve end users.

The position is expected to be a subject matter expert in data engineering, architecture, and analytics, with the ability to lead data scientists and other technical professionals. The Manager works with key stakeholders and leads the team to increase operational efficiencies, streamline existing processes, and implement new business strategies and processes. The Manager is responsible for logging all projects, leading and executing projects, assigning and overseeing projects conducted by the team, and ensuring support for ongoing solutions or business tools. The position coordinates all system requests, ensures proper user testing, validates functionality, and oversees implementation.

The position manages the activities of the team to ensure all analyses, projections, conclusions, presentations, reports, data visualizations, supply chain metrics/KPIs dashboards, and solution proposals are thorough, accurate, complete, and dependable.

PRINCIPAL ACTIVITIES:

This position does the following in accordance with all applicable Federal, State, and local laws/regulations and the Company's policies, procedures, and guidelines:

  • Evaluates the procedures and technologies utilized by the organization; develops standardized, repeatable and efficient processes for data engineering, analytics, reporting, data visualizations and dashboards.
  • Creates and maintains environments and tools to enable self-serve analytics across the Product Support organization.
  • Drives standardization of metrics and reporting across the organization.
  • Leads the development of data-driven solutions that drive insights regarding productivity, quality, sales and customer satisfaction opportunities across the organization. Recommends improvement ideas to help the organization operate more efficiently and/or reduce costs.
  • Provides support to all areas of the Product Support Division. Troubleshoots day-to-day questions, provides recommendations for improved system processes, and performs user acceptance testing on new or improved procedures.
  • Creates tools to support Product Support field staff with dealers. Improves dealer awareness and access to relevant Product Support data.
  • Leads and prioritizes technical and analytical Product Support projects. Implements and maintains a data-driven project management methodology (e.g., Agile, Six Sigma) that standardizes and streamlines projects from inception through implementation. Liaison between departmental end-users, PMO, IT, consultants, and others in the analysis, design, configuration, testing and maintenance of systems to ensure optimal performance levels and meet business requirements. Reviews new and existing programs, procedures and projects to validate improvement opportunities, identify and manage risks, and resolve problems. Ensures development of information system documentation to support efficient operations.
  • Ensures the team's business functions and processes are appropriately defined and documented.
  • As the resident technical expert of analytical tools, industry trends, business data, and operational systems, this position leads the Data and Analytics team to support other areas of the organization by developing and delivering technical training, staying up to date on the latest technical tools and capabilities, and proposing changes to advance capabilities and effectiveness.
  • Ensures the team delivers timely analysis, projects, and reporting to enable faster decision-making and drive continuous process improvements. Identifies and sponsors continuous improvement projects.
  • Defines metrics/KPIs and reports/dashboards to support the achievement of Department goals.
  • Interfaces with business partners across the internal organization as well as dealers and suppliers.
  • Manages employees including, but not limited to, recruiting, hiring, training, mentoring, distributing and reviewing work and managing employee performance.
MINIMUM QUALIFICATIONS:
  • Bachelor's Degree from an accredited university in Data Science, Computer Science, Information Systems, Supply Chain Management, Industrial Engineering, or related technical fields preferred.
  • In lieu of a degree, at least 7 years of related experience in data engineering, analytics, data science or business intelligence in product support or related fields.
  • With a degree, at least 5 years of experience in a related field.
  • Must have very strong technical, analytical, project management, and computer skills including:
    • The ability to define and create environments for data engineering, analytics, data distribution and reporting.
    • Extensive knowledge of big data technology, processes (extracting, storage, processing, scripting, etc.), and associated tools/products (e.g., Power BI, SAP S4, SAS, PTC, Azure Power Automate, API Management, Purview, Salesforce Service Cloud, Tavant Warranty on Demand).
    • Superior knowledge of Microsoft Excel (formulas, pivot tables, power pivots, charts, etc.) and Access.
    • Experience with SAP S4 Hana, EWM, and BW as well as demand/inventory planning systems is preferred.
    • Superior analytical and problem-solving abilities.
    • Ability to query data from multiple sources, conduct detailed analysis, discover business trends, and draw conclusions to lead strategy developments.
    • Experience with user and/or statistical programming along with statistical modeling.
    • Thorough understanding of advanced statistical concepts and optimization techniques.
    • Project management experience. Lean skills and experience (TPS, Six Sigma) is preferred.
    • Interpersonal skills necessary to establish and maintain effective working relationships with direct reports, co-workers, executives and other internal business areas as well as dealers and suppliers.
    • Demonstrated cross-functional supply chain knowledge.
    • Self-motivated to initiate, drive, and own projects for self and team.
    • Ability to work independently, in teams, and with team members in multiple locations.
    • Proven leadership abilities focused on continuous improvement.
PHYSICAL REQUIREMENTS:

Typical office environment.

DISCLAIMER:

The information provided in the description has been designed to indicate the general nature and level of work performed by incumbents within the classification. This description is not intended to be a comprehensive inventory of all duties, responsibilities, qualifications and working conditions required of employees assigned to this job/classification. This job is intended to include the current essential functions of the job. Management reserves the right to add or modify the duties and responsibilities and to designate other functions as essential at any time.

Kubota is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin.

Other details
  • Job Family Manager - Non Sales
  • Pay Type Salary
  • Employment Indicator Direct Reports


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