Senior Consultant, People Data Governance & Enablement
Cargill · Bengaluru
- Experience5–8 yrs
- SalaryNot disclosed
- RoleGRC Analyst
- Work modeonsite
- Posted14 Oct 2026
About Cargill
Cargill is hiring in Bengaluru in agriculture food. This role looks for around 5+ years of experience.
Skills
- Data governance
- Data quality
- Data lifecycle management
- Data modeling
- Privacy
- Security
The role
Serves as a data governance professional at an agriculture and food company. Develops HR data governance policies, standards and lifecycle controls, applying Data governance, Data quality and Data lifecycle management. Uses SAP SuccessFactors and privacy and data protection principles to support compliant data stewardship.
Full job description
Job Summary
The Senior Professional, Data Management & Governance 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 Qualifications
Bachelor's degree
5 to 8 years of experience in data governance, data management, HR data, HR technology, compliance, or process improvement.
Strong understanding of data governance, data quality, data lifecycle, privacy, security, and responsible data use.
Ability to translate complex data and governance requirements into practical, business-friendly guidance.
Experience partnering across HR, Technology, Legal, Privacy, Operations, Reporting, or Data Management teams.
Strong analytical, communication, documentation, and stakeholder management skills.
Preferred Qualifications
Experience in SAP SuccessFactors or any other HR System.
Knowledge of privacy and data protection principles.
Experience working as part of product teams.
Experience with data dictionaries, data catalogs, data quality tools, dashboards, controls, or governance scorecards.
Experience developing standards, playbooks, training materials, templates, or other enablement resources.