Lead the development and execution of enterprise data quality strategies, including profiling, rule creation, and issue resolution.
Document and maintain metadata, lineage, and business rules to support transparency and governance.
Foster and maintain high collaboration with team members, data owners, data stewards, architects, engineers, and business stakeholders to define quality standards and metrics.
Evaluate architecture and solution design artifacts to ensure appropriate data quality considerations.
Provide conceptual and task-based training on data quality for other data practitioners and business stakeholders.
Participate in communities of practice, committees and working groups to champion the enterprise data quality program and promote data quality best practices.
Drive and meet commitments on project goals, objectives, and corresponding delivery dates.
Monitor data quality dashboards and proactively identify anomalies, inconsistencies, and gaps.
Ensure compliance with internal audit, security, and regulatory requirements related to data quality.
Foster innovation to resolve existing challenges and to realize new opportunities.
Provide internal and external thought leadership on data quality and related topics.
Perform other duties as assigned.
Requirements
Bachelor's degree in computer science, management information systems, related technology field, or equivalent combination of education and experience.
Advanced degrees or certifications preferred.
Seven plus (7+) years of professional work experience in data architecture, data engineering, data management, or data quality program development required.
Two plus (2+) years of experience with data quality toolsets (Informatica, Talend, Soda, BigEye) and the configuration and administration of such solutions to streamline and automate data quality functions.
Knowledge of and prior experience with data governance frameworks such as DAMA, DCAM, CDMC or DGPO.
Course work and certification in DCAM and/or CDMC preferred.
Knowledge of and prior experience with industry standard reference architectures such as TOGAF, BIAN or NIST.
Course work and certification in BIAN preferred
Years of experience may be offset by having proficiency in one or more highly specialized technologies or skills.
Expert knowledge of data catalogs, metadata management and data lineage.
Advanced understanding of data engineering concepts and practices with experience in Databricks, Python, SQL and other technologies for data validation and automation.
Advanced technical skills and knowledge in data warehousing, databases, ETL/ELT, business intelligence and data governance.
Comfortable with cloud environments (Azure preferred) and big data technologies.
Ability to lead root cause analysis and implement remediation plans
Knowledge of regulatory requirements impacting data (e.g., SOX, GLBA, GDPR, CCPA, HIPAA, BCBS 239).
Ability to manage multiple, concurrent efforts in a demanding environment and meet deadlines consistently.
Excellent analytical and organizational skills and the ability to facilitate meetings, negotiate, influence, and build consensus.
Effective communication, interpersonal, and collaboration skills and the ability to liaise and work effectively with both business and technical teams.
Demonstrate behaviors based on Velera values: Dedication, Collaboration, Belonging, Curiosity, and Integrity.
Benefits
Competitive wages
Medical with telemedicine
Dental and Vision
Basic and Optional Life Insurance
Paid Time Off (PTO)
Maternity, Parental, Family Care
Community Volunteer Time Off
12 Paid Holidays
Company Paid Disability Insurance
401k (with employer match)
Health Savings Accounts (HSA) with company provided contributions
Flexible Spending Accounts (FSA)
Supplemental Insurance
Mental Health and Well-being: Employee Assistance Program (EAP)
Tuition Reimbursement
Wellness program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data quality strategiesmetadata managementdata governancedata architecturedata engineeringdata managementdata validationETLdata warehousingbig data technologies
Soft skills
collaborationanalytical skillsorganizational skillscommunication skillsinterpersonal skillsnegotiationinfluenceconsensus buildingleadershiproot cause analysis