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Cargill

Senior Consultant, Data Management and Governance - Ag & Trading

Posted 10 Days Ago
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2 Locations
Senior level
2 Locations
Senior level
The Senior Consultant for Data Management and Governance will ensure data accuracy, establish governance policies, and manage vendor relationships to improve data value and compliance.
The summary above was generated by AI
Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
The Senior Professional, Data Management & Governance, (Market Data Services), 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.
This is an opportunity to add significant value by:
  • Ensuring we are licensed appropriately for our data use; including liaising with vendors and internal stakeholders and advising on allowed data use cases and usage restrictions.
  • Creating strong relationships with external vendors, so that we are able to optimize our contracts, subscription flexibility, and terms of use.
  • Coordinating and advising on large internal projects

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.

Preferred Qualifications:
  • Market Data acquisition and administration, including familiarity with applications like Market Data Management (MDM), and Optimized Spend (FITS / OS).
  • Compliance and licensing of market data.
  • Market Data contract management; onboarding and renewals. Including understanding contract terms and implications for allowed use.
  • Vendor relationship management.
  • Contract management, from a procurement perspective, especially advantageous if in a trading environment.

Short Description
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
The expected salary for this position is $123,000 - $160,000. 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-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
Equal Opportunity Employer, including Disability/Vet.

Top Skills

Market Data Management
Optimized Spend

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