Data Quality Manager

Vintti is a staffing agency that leverages the geographical advantage of Latin America to benefit US businesses. We connect companies with professionals who work in time zones closely aligned with or identical to US hours, ensuring seamless communication and collaboration. This synchronicity allows for real-time interaction, enhancing productivity and eliminating the delays often associated with offshore staffing.

A Data Quality Manager is responsible for overseeing and maintaining the integrity, accuracy, and consistency of an organization's data. This role involves developing and implementing data quality standards, policies, and procedures to ensure data is reliable and meets organizational needs. They collaborate with various departments to identify data quality issues, perform root cause analysis, and drive initiatives to enhance data quality. By managing data governance frameworks and conducting regular audits and assessments, a Data Quality Manager ensures that the data supports strategic decision-making and regulatory compliance.

- Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field.
- Minimum of 5 years of experience in data quality management or a similar role.
- Strong understanding of data governance and data management principles.
- Proficiency with data quality tools and software (e.g., Informatica, Talend, IBM Infosphere).
- Excellent analytical and problem-solving skills.
- Experience conducting data audits and implementing data quality improvement initiatives.
- Strong knowledge of SQL and database management.
- Familiarity with data profiling and cleansing techniques.
- Ability to develop and implement data quality standards and best practices.
- Experience with regulatory compliance related to data (e.g., GDPR, CCPA).
- Strong project management skills.
- Excellent communication and leadership skills.
- Ability to collaborate effectively with cross-functional teams including IT, business, and external partners.
- Experience developing and delivering training programs.
- Ability to create and maintain comprehensive documentation.
- Proven ability to generate data quality reports and present findings to stakeholders.
- Familiarity with data migration and integration processes.
- Strong attention to detail and commitment to data accuracy.
- Ability to prioritize and manage multiple tasks and projects effectively.
- Experience with key performance indicators (KPIs) for data quality.
- Ability to recommend and evaluate new data quality tools and technologies.

- Monitor and analyze data quality metrics to ensure data integrity and accuracy.
- Develop and implement data quality standards and best practices.
- Conduct routine data audits to identify discrepancies and areas for improvement.
- Collaborate with IT and business teams to ensure data governance policies are upheld.
- Lead and manage data quality improvement initiatives and projects.
- Create and maintain documentation regarding data quality processes and controls.
- Develop and deliver training programs to educate staff on data quality practices.
- Review data collection methods for accuracy and consistency.
- Generate reports on data quality trends and present findings to stakeholders.
- Facilitate the resolution of data quality issues by coordinating with relevant teams.
- Assess and prioritize data quality issues based on business impact.
- Utilize data quality tools and software to conduct data profiling and cleansing.
- Participate in system enhancements and upgrades to ensure data quality considerations are met.
- Provide guidance and support to data stewards and other data custodians within the organization.
- Establish and maintain key performance indicators for data quality.
- Evaluate and recommend new data quality tools and technologies.
- Ensure compliance with regulatory requirements and internal data policies.
- Collaborate with external partners to resolve data quality issues impacting shared data.
- Support data migration and integration efforts by ensuring quality criteria are met.
- Communicate data quality goals and objectives to senior management and other stakeholders.

The ideal candidate for the Data Quality Manager role is a highly analytical and detail-oriented professional with at least five years of experience in data quality management. They hold a Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field and have a proven track record in implementing data quality standards and best practices. This candidate excels in using data quality tools such as Informatica, Talend, and IBM Infosphere, and possesses strong knowledge of SQL and database management. Their exceptional problem-solving skills are complemented by their ability to conduct thorough data audits and lead data quality improvement initiatives effectively. They have a deep understanding of data governance and regulatory compliance requirements, such as GDPR and CCPA. As a strong communicator, they can convey complex information clearly and create comprehensive documentation. This individual demonstrates excellent leadership and project management skills, able to drive cross-functional collaboration among IT, business teams, and external partners. They are proactive, self-motivated, and can adeptly prioritize and manage multiple tasks and projects. Their commitment to data accuracy and integrity is unwavering, paired with a strategic mindset to assess and mitigate data quality risks. Their innovative approach and continuous improvement mindset enable them to evaluate and recommend new data quality tools and technologies. Additionally, this candidate is empathetic and responsive to stakeholder needs, maintaining high ethical standards and the ability to handle sensitive information with utmost confidentiality and integrity.

- Monitor and analyze data quality metrics to ensure data integrity and accuracy.
- Develop and implement data quality standards and best practices.
- Conduct routine data audits to identify discrepancies and areas for improvement.
- Collaborate with IT and business teams to ensure data governance policies are upheld.
- Lead and manage data quality improvement initiatives and projects.
- Create and maintain documentation regarding data quality processes and controls.
- Develop and deliver training programs to educate staff on data quality practices.
- Review data collection methods for accuracy and consistency.
- Generate reports on data quality trends and present findings to stakeholders.
- Facilitate the resolution of data quality issues by coordinating with relevant teams.
- Assess and prioritize data quality issues based on business impact.
- Utilize data quality tools and software to conduct data profiling and cleansing.
- Participate in system enhancements and upgrades to ensure data quality considerations are met.
- Provide guidance and support to data stewards and other data custodians within the organization.
- Establish and maintain key performance indicators for data quality.
- Evaluate and recommend new data quality tools and technologies.
- Ensure compliance with regulatory requirements and internal data policies.
- Collaborate with external partners to resolve data quality issues impacting shared data.
- Support data migration and integration efforts by ensuring quality criteria are met.
- Communicate data quality goals and objectives to senior management and other stakeholders.

- Detail-oriented with a strong focus on data accuracy and integrity
- Analytical thinker with exceptional problem-solving skills
- Strong communicator with the ability to convey complex information clearly
- Proven leadership and team management abilities
- Collaborative mindset with the ability to work effectively across various departments
- Proactive and self-motivated with a strong sense of ownership
- Adaptable and flexible in the face of changing priorities and requirements
- Highly organized with excellent time management skills
- Technically proficient with a strong understanding of data quality tools and techniques
- Strong ethical standards and commitment to regulatory compliance
- Strategic thinker with the ability to assess and mitigate data quality risks
- Innovative mindset with a continuous improvement approach
- Empathetic with a strong ability to understand and address stakeholder needs
- Strong project management capabilities to lead data quality initiatives successfully
- Ability to handle sensitive information with confidentiality and integrity

- Competitive salary range ($80,000 - $120,000) based on experience and qualifications
- Comprehensive health insurance plans (medical, dental, vision)
- Retirement savings plan options with company match
- Paid time off (PTO) including vacation, sick leave, and holidays
- Flexible work hours and remote work options
- Opportunities for professional development and certification reimbursement
- Employee wellness programs including gym membership discounts
- Tuition assistance for further education and training
- Life and disability insurance coverage
- Employee assistance program (EAP) for personal and professional support
- Collaborative and inclusive work environment
- Access to cutting-edge data quality tools and technologies
- Performance-based bonuses and incentives
- Opportunities for career advancement and internal mobility
- Regular team-building activities and social events
- On-site facilities such as cafeteria and fitness center (if applicable)
- Commuter benefits and transportation subsidies
- Parental leave and family support programs
- Recognition and rewards programs for outstanding performance