Responsibilities
- Develop and implement data integrity policies and procedures.
- Monitor and audit data processes to identify and resolve discrepancies.
- Collaborate with data teams to ensure data accuracy and consistency.
- Conduct regular data quality assessments and reporting.
- Investigate and resolve data integrity issues.
- Maintain documentation of data integrity processes and procedures.
- Provide training and support to staff on data integrity best practices.
- Ensure compliance with data governance standards and regulations.
- Work with stakeholders to understand data requirements and expectations.
- Implement data validation and verification processes.
- Analyze data to identify trends and patterns that may impact integrity.
- Develop and maintain data integrity metrics and KPIs.
- Collaborate with IT teams to ensure data systems are secure and reliable.
- Participate in data governance committees and working groups.
- Conduct data integrity risk assessments.
- Develop and implement data integrity training programs.
- Ensure data integrity during data migration and integration projects.
- Collaborate with external partners to ensure data integrity in shared systems.
- Develop and maintain data integrity dashboards and reports.
- Conduct data integrity audits and reviews.
- Ensure data integrity in data warehousing and data lakes.
- Collaborate with data scientists to ensure data integrity in analytics projects.
- Develop and implement data integrity policies for third-party vendors.
- Ensure data integrity in data backup and recovery processes.
Nice to Have
- Master's degree in a related field.
- Certification in data governance or data management.
- Experience with specific data management tools and technologies.
- Knowledge of industry-specific data governance standards.
- Experience with data integrity in cloud environments.
- Ability to develop and implement data integrity policies and procedures.
- Experience with data integrity in big data environments.
- Knowledge of data integrity in machine learning and AI projects.
- Ability to conduct data integrity assessments and reporting.
- Experience with data integrity in real-time data processing systems.
Compensation
Competitive salary and benefits package.
Work Arrangement
Hybrid work arrangement with flexible hours.
Team
Collaborative and innovative team environment.
About Us
- We are a leading provider of AI and machine learning solutions.
- Our mission is to deliver innovative and reliable AI solutions to our clients.
- We value integrity, innovation, and collaboration in everything we do.
- We offer a dynamic and inclusive work environment.
- We are committed to continuous learning and development.
- We foster a culture of excellence and continuous improvement.
- We provide opportunities for professional growth and development.
- We are dedicated to delivering high-quality AI solutions to our clients.
- We value diversity and inclusion in our workplace.
- We are committed to ethical and responsible AI practices.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Dynamic and inclusive work environment.
- Flexible work arrangements and hybrid work options.
- Collaborative and innovative team environment.
- Access to cutting-edge AI and machine learning technologies.
- Comprehensive training and development programs.
- Opportunities to work on challenging and impactful projects.
- Supportive and inclusive workplace culture.
- Visa sponsorship available for eligible candidates.
Visa sponsorship available for eligible candidates.
