Cargill

Senior Consultant, Data Management and Governance - ANH

Cargill$100K — $140K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 4 years of relevant work experience, typically 5+ years.
  • Professional experience with data quality, ERP, or data management and governance in SAP S4.
  • Exposure to MDM tooling and processes.
  • Familiarity with the Business Partners (BP) domain in SAP.
  • Experience in the Animal Feed Industry.

Responsibilities

  • Develop and maintain data management and governance strategies aligned with organizational goals.
  • Monitor standards for data storage, integration, and consumption, assessing business risks for non-compliance.
  • Ensure consistency and quality across data domains by developing and governing data standards.
  • Set data quality standards and conduct audits to maintain data accuracy and reliability.
  • Lead the creation of data governance policies and align them operationally within the organization.
  • Enhance data operations by providing expertise to reduce defects and improve compliance efficiency.
  • Manage data throughout its lifecycle to ensure compliance and identify opportunities for improvement.

Benefits

  • Comprehensive benefit program including medical and/or other benefits based on position and hours worked.
  • Discretionary incentive award based on company and personal performance.
  • Access to a comprehensive health and wellness program.
Full Job Description
Job Purpose and Impact

  • The Senior Consultant - Data Management & Governance job ensures the accuracy, security and effective use of the organization's complex data. With minimal supervision, this subject matter authority develops, implements and governs policies and practices to ensure compliance with regulations while improving the value of data.


Key Accountabilities

  • STRATEGIC PLANNING: Serves as a domain expert and contributes to developing, deploying and maintaining data management and governance strategies aligned with organizational goals.
  • DATA STORAGE, INTEGRATION & CONSUMPTION: Develops, governs and monitors the implementation of standards for data storage, data in transit and data use in both raw and insight formats, and defines the business risk for non-compliance.
  • DATA STANDARDS: Develops, documents and governs detailed data standards to ensure consistency and quality across data domains, and that policies are followed.
  • DATA QUALITY: Ensures the accuracy, consistency and reliability of data throughout its lifecycle by setting data quality standards, supervising data quality metrics and implementing corrective processes while conducting data quality audits as needed to ensure data standards are met, and works across organizational boundaries to address process changes, educational opportunities and organizational accountability.
  • POLICY DEVELOPMENT & GOVERNANCE: Leads the development and operational alignment of data governance policies, providing expertise of given domain or capability.
  • DATA OPERATIONS & STEWARDSHIP: Serves as a domain authority to provide operational improvements to reduce data quality defects, improve efficiency and speed while maintaining compliance to regulations and policies.
  • DATA LIFECYCLE MANAGEMENT: Handles complex data from initiation to decommissioning through the lifecycle to ensure compliance with policies and regulations and serves as a subject matter authority to define opportunities for improvement, risk areas and driving a backlog of maturity advancements for consideration.
  • COMPLIANCE & RISK MANAGEMENT: Develops, improves, implements data governance, risk and compliance processes and controls to mitigate risk and align with applicable laws and regulations.
  • DATA LITERACY & TRAINING: Develops and deploys training programs to improve organizational literacy, compliance to data standards and policies and increased understanding of accountability for data responsibilities.
  • DATA MODELING: Informs the visual representation of a system's data and its relationships to help understand and prioritize the data structure.


Qualifications

  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • Professional experience with data quality, ERP, or data management and governance in SAP S4
  • Professional exposure to MDM tooling and processes
  • Knowledge of the Business Partners (BP) domain in SAP
  • Experience in Animal Feed Industry


Compensation Data

The expected salary for this position is $100,000 - $140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellnessto learn more (subject to certain collective bargaining agreements for Union positions) .

About Cargill

Industry
Founded
1865

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