Senior Data Manager

Vintti is a strategic staffing agency that enhances the competitiveness of US businesses. By connecting SMBs, startups, and firms with highly skilled Latin American professionals, we offer a cost-effective solution to talent acquisition. Our model allows companies to access top-tier expertise at rates that significantly reduce overhead costs, enabling businesses to allocate resources more efficiently and boost their bottom line.

A Senior Data Manager is a seasoned professional responsible for overseeing the collection, management, and analysis of data within an organization. This role involves ensuring data accuracy, integrity, and security while developing strategies to optimize data management processes. Senior Data Managers collaborate with cross-functional teams to support data-driven decision-making and provide insights that drive business objectives. They also stay abreast of industry trends and advancements in data technology to implement best practices and innovative solutions, ensuring the organization's data infrastructure remains robust and efficient.

- Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field
- Minimum of 8-10 years of experience in data management or a similar role
- Proven experience with data governance, data quality management, and data architecture
- Strong knowledge of database management systems (DBMS) such as SQL Server, Oracle, MySQL, etc.
- Proficiency in data modeling and database design
- Experience with data integration tools and ETL processes
- Familiarity with data visualization tools such as Tableau, Power BI, or similar
- Strong analytical skills and ability to interpret complex data sets
- Understanding of data privacy laws and regulatory requirements (e.g., GDPR, CCPA)
- Excellent project management skills and experience managing multiple priorities
- Strong problem-solving and troubleshooting skills
- Ability to lead and mentor a team of data professionals
- Effective communication and interpersonal skills
- Experience with data warehousing and big data technologies
- Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
- Strong scripting and programming skills (e.g., Python, R, SQL)
- Proven ability to work cross-functionally with IT, business units, and external vendors
- Certification in data management (e.g., CDMP, DAMA) is a plus
- Attention to detail and a commitment to maintaining high-quality standards
- Ability to provide training and support on data management tools and practices
- Demonstrated ability to foster a data-driven culture within an organization

- Oversee the collection, storage, and management of data
- Ensure the accuracy, integrity, and security of data
- Develop and implement data management strategies, policies, and procedures
- Monitor data quality and consistency and implement quality control measures
- Collaborate with IT teams to optimize database performance
- Design and maintain data systems and databases
- Troubleshoot data systems and database issues
- Provide training and support to staff on data management
- Analyze data to identify trends and insights for reporting
- Lead data governance initiatives and ensure regulatory compliance
- Coordinate with project managers on data management activities
- Liaise with third-party vendors for data integration and management
- Conduct regular audits of data processes to identify improvements
- Assist in developing data architecture and roadmap planning
- Support data migration and integration during system upgrades
- Create and maintain documentation on data management practices
- Evaluate new data management technologies and tools
- Foster a culture of data-driven decision making
- Participate in cross-functional meetings for data management input
- Manage a team of data professionals, including performance reviews and mentoring
- Prioritize and manage data-related requests and projects

The ideal candidate for the Senior Data Manager role is a seasoned professional with a Master’s or Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field, coupled with over 8-10 years of comprehensive experience in data management or a similar capacity. This candidate is distinguished by their robust expertise in data governance, quality management, and architecture, as well as their proficiency with various database management systems (DBMS) such as SQL Server, Oracle, and MySQL. They possess advanced skills in data modeling, database design, and the use of data integration tools and ETL processes. Familiar with data visualization tools like Tableau and Power BI, they exhibit exceptional analytical abilities, enabling them to interpret complex data sets and convert them into actionable insights. Their understanding of data privacy laws and regulatory requirements is impeccable, ensuring the organization remains compliant. This candidate excels in project management, demonstrating an ability to handle multiple priorities and fostering a data-driven culture through leadership and mentorship. They are adept at scripting and programming in languages such as Python and R, and are well-versed in cloud-based data solutions like AWS, Azure, and Google Cloud. A certified data management professional (e.g., CDMP, DAMA) is preferred, underscoring their commitment to ongoing professional development and excellence. Their personal attributes, including a high level of attention to detail, strategic thinking, problem-solving prowess, and exceptional communication skills, ensure they can clearly convey complex data concepts. They are collaborative, adaptable, and exhibit strong organizational capabilities, making them highly effective in high-pressure environments. The ideal candidate is customer-oriented, possesses strong ethical standards, and demonstrates a passionate commitment to fostering a data-driven culture within the organization while continuously driving innovation and improvements.

- Oversee the collection, storage, and management of data from various departments
- Ensure the accuracy, integrity, and security of data across all platforms
- Develop and implement data management strategies, policies, and procedures
- Monitor data quality and consistency, implementing quality control measures
- Collaborate with IT teams to optimize database performance and reliability
- Design and maintain data systems and databases, including troubleshooting issues
- Provide training and support to staff on data management practices and tools
- Analyze data to identify trends and insights, generating reports for stakeholders
- Lead data governance initiatives and ensure compliance with relevant regulations
- Coordinate with project managers to align data management activities with project goals
- Liaise with third-party vendors to integrate and manage external data sources
- Conduct regular audits of data processes to identify areas for improvement
- Assist in the development of data architecture and roadmap planning
- Support data migration and integration efforts during system upgrades or transitions
- Create and maintain documentation related to data management practices and projects
- Evaluate new data management technologies and tools for potential implementation
- Foster a culture of data-driven decision making within the organization
- Participate in cross-functional meetings to provide data management expertise
- Manage a team of data professionals, including performance reviews and mentoring
- Prioritize and manage data-related requests and projects to meet organizational needs

- Strong leadership and management capabilities
- High level of attention to detail and accuracy
- Strategic thinking and planning skills
- Proactive problem-solving ability
- Excellent analytical and critical thinking skills
- Strong organizational and multitasking abilities
- High degree of adaptability and flexibility
- Strong technical aptitude and understanding of data systems
- Ability to communicate complex information clearly and concisely
- Collaborative mindset and strong teamwork skills
- High level of integrity and ethical standards
- Passion for continuous learning and professional development
- Commitment to fostering a data-driven culture
- Strong customer focus and service orientation
- Resilient and able to operate effectively in a high-pressure environment
- Ability to mentor and inspire team members
- Proven ability to drive innovation and improvements
- Effective decision-making skills based on data and evidence
- Strong negotiation and conflict resolution skills
- Demonstrated ability to manage and prioritize multiple projects and deadlines

- Competitive salary range ($120,000 - $160,000 per annum)
- Comprehensive health insurance (medical, dental, vision)
- Generous paid time off (PTO) and holiday schedule
- Flexible work hours and remote work options
- 401(k) retirement plan with company match
- Employee assistance program (EAP)
- Professional development and certification reimbursement
- Tuition assistance for further education
- Opportunities for career growth and advancement
- Company-sponsored training and workshops
- Wellness programs and fitness membership discounts
- Life and disability insurance
- Performance-based bonuses and incentives
- Collaborative and inclusive work environment
- Paid family leave and parental support
- Company-sponsored social events and activities
- On-site amenities (if applicable, e.g., gym, cafeteria)
- Employee referral bonus program
- Commuter benefits and transportation subsidies