Sr Consultant, Data Management and Governance (ServiceNow Platform)

Cargill, Inc.•Wayzata, MN

52d

About The Position

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 job ensures the accuracy, security and effective use of the organization's complex data on Cargill's ServiceNow platform. This role will govern data across the platform in many functional areas including IT, HR, Finance, and Procurement. 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.

Requirements

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Minimum requirement of at least 4 year of data governance experience.

Responsibilities

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.