2,478 Data Quality jobs in the United States

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

About this job

At CarMax, we are industry disruptors with an unrivaled amount of automotive consumer data. Working on many different aspects our Principal Engineers research and discover new opportunities and shape data products to fulfill enterprise needs for data. From inception to completion, you will develop tools and technology, learning quickly from our spirit of experimentation. You will have a direct impact on improving the performance of our business and ensuring customers can buy the vehicles they want in a way that’s right for them!

CarMax is a data driven company. We are seeking a highly motivated and experienced Principal Data Governance/Data Quality Engineer with at least 10 years of experience in implementing Data Governance and Data Quality frameworks/tools. The ideal candidate should have a comprehensive understanding of Data Governance, Metadata, and Data Quality processes, and be able to adapt these to CarMax specific needs. This role requires innovative thinking, a hands-on approach, ability to learn quickly and formulate effective solutions as part of an agile team. Familiarity with creating Critical Data Elements, data quality rules, alerts monitoring, and Issue Management is essential. If you are a passionate data professional who has the drive for high data quality leveraging governance processes and tools, then your search stops here.

What You Will Do – Essential Responsibilities:

• Industry Best Practices: Stay updated with the latest trends in Data Governance, Metadata, and Data Quality. Adapt and innovate these practices for CarMax .

• Subject Matter Expert: Serve as a Data Governance/Data Quality expert to support functional teams in using Data Catalog/Data Quality tools. Implement best practices tailored to organizational needs.

• Data Architecture and Modeling: Have an understanding and/or willingness to learn about basics of Data Architecture and Data Modeling .

• Technology assessment: Partner with both business and technology teams to assess or help assess future looking Data Governance/Metadata/Data Catalog technology tools.

• Enterprise Implementation: Collaborate with various teams to implement enterprise Data Quality rules, roles, permissions, and support the Data Governance/Data Quality operating model. This includes any future Data Governance tools/solutions.

• Team Collaboration: Work closely with technical and functional teams to integrate data quality and metadata management into the data landscape while assisting resolve data issues.

• Technology : Configure and assist with the management of cloud based Data Quality(e.g., DQLabs) and future Data Governance/Metadata/Catalog tools.

• Cost Management: Partner with DataOps function to monitor and optimize costs related to Data Governance/Data Quality tools on cloud(Azure or equivalent) .

• Continuous Improvement: Maintain a mindset focused of continuous automation and improvement. Adapt to changing business requirements and priorities .

• Stakeholder Communication: Communicate effectively with stakeholders and customers to build strong partnerships and teamwork across CarMax .

• Adaptability: Be able to multi-task and quickly learn CarMax's business processes and Data Governance/Data Quality opportunities including looking for innovation in the Data Governance/Data Quality areas.

• Data Analysis: Write SQL queries to perform data analysis and support Data Quality issue resolution .

• Documentation: Document lineage, business, and technical data flows and/or assist in doing so.

Qualifications and Requirements:

• Minimum 10 years of experience in Data Quality Platform and/or Data Governance roles (e.g., Principal/Senior Technical Data Engineer/Analyst, Data Governance or Data Quality Architect) .

• Strong teamwork skills across the organization.

• Hands-on experience in SQL (Snowflake experience highly preferred).

• Proficiency in Data Governance/Data Quality/Metadata/Catalog tools (e.g., DQLabs, Atlan, Alation, Collibra, Data.world, Data Galaxy) .

• Strong knowledge and leadership of Data Governance and Data Quality processes.

• Ability to communicate and present to senior technology and business partners.

• Familiarity with the latest trends in Data Governance, Metadata, Data Quality, Availability, Observability, and Reliability.

• Experience in leading Data Quality operationalization including process and roles definition.

• Highly motivated, self-starter with proven leadership & communication skills.

• Bachelor's/Master’s in computer science or equivalent area

Preferred Qualifications

• Experience with Snowflake-specific data governance or quality implementations.

• Familiarity with Infrastructure (e.g. Azure, Snowflake) cost management for data tools.

• Certification in data governance or quality (e.g., DAMA CDMP, DQMP).

• Active participation/leadership in transformative DG/DQ initiatives including AI based Data Governance/Data Quality capabilities.

• Prior experience in the retail industry.

Work Authorization : Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center or Dallas Technology Hub in Plano, TX and have a Hybrid work arrangement.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

As a Principal Data Governance Analyst, you will establish the data governance framework including standards, policies and practices for utilizing data throughout our technical and business ecosystems. Ensure data initiatives are aligned to the overall strategic goals of the credit union. Responsible for data quality metrics required by the business stakeholders to govern the data for the long term. Lead cross-functionally to drive data effectiveness and excellence throughout the organization, emphasizing data quality and managing data proliferation. Create data governance strategy and executing deliverables outlined in data governance roadmap. The incumbent will work with business partners, data engineering, and other cross functional IT teams to implement Critical Data Element (CDE) framework and to provide recommendations on resolution of data integrity gaps while supporting the implementation of systematic and procedural data quality controls for CDEs in scope of governance. This role will support data quality monitoring & data issue governance framework and lead proactive issue identification, managing, tracking, escalation and reporting process. Partners with IT resources to implement Data Quality mart, Data Issue Governance mart, metrics dashboards and trend reporting for Data Quality and Issue Governance programs and metrics. Responsibilities Partner with business and IT stakeholders to establish data governance roadmap, including enterprise-wide data quality framework Implement deliverables from the enterprise data governance roadmap to support the strategic, tactical, and operational data initiatives Define roles and responsibilities related to enterprise data governance and ensure clear accountability and drive data stewardship Lead the implementation of the enterprise data governance structure, establish the enterprise data governance council and lead realization of data as an asset Lead the creation, maintain, and monitor the data governance policies, standards, processes, procedures and playbook(s) for guiding the data management for on-prem and cloud as well as monitor adherence Create and facilitate data governance education and training for the enterprise on core data concepts, practices, standards, and guidelines Lead and support enterprise critical data elements (CDE) identification and standardizing definitions, and maintaining and publishing definitions Promote participation and buy-in for data governance activities throughout the organization including recruiting, cultivating and developing data stewards throughout the organization. Explain the benefits of data governance policies and procedures within the context of the user's needs Create and maintain enterprise data catalog and ensure it is up-to-date and collaborate with data stewards. and manage data catalog Analyze application and business domain data requirements and business rules, understanding the data flow from source to screen; develop and present recommendations derived from analysis Lead the integration of data governance controls in existing business and technical processes Education: Bachelors Degree - Computer Science, Engineering, Information Security, Management, Accounting, Finance or Related - Minimum Graduate Degree - Computer Science, Engineering, Information Security, Management, Accounting, Finance or Related - Preferred Years of Experience: 9 Years - Data Governance, Data Management or related- Minimum 7 + years of experience in Data Governance, Data Quality, Data Issue Governance In Lieu of Education: 12 years - Data Governance, Data Management or related Compensation & Benefits: Typical hiring range: $113,000 - $159,550 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge. Additional Compensation: Annual performance bonus Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match. Additional Benefits: Work from home up to 3 days a week Paid parental leave Employee discount programs Time off including paid personal and sick days 11 paid holidays Education reimbursement *Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment. Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives. The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice. #J-18808-Ljbffr

Job Title: Business Analyst (Data Governance and Data Quality Management)

Location: Auburn Hills, MI.  Must be local or relocation (out of pocket from day 1).  No exceptions.  HEAVY preference for locals in this group.  NO West Coast candidates (PST) will be considered

Duration:  Long-term   

Job Type: Contract – W2

Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI

NOTE:

Highlighted Job duties ARE the REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes.  Thank you.

Location:  Auburn Hills, MI (at least two days on site per week)

Business Analyst (Data Governance and Data Quality Management)

· Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities  for the Chief Data & Analytics Office. 

· Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting. 

· Responsible for researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog  to ensure it aligns with regulatory expectations.

· Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information .

· Financial Services / Banking experience preferred .

Kindly please share your resumes to ‪ or ‪(

Job Title: Business Analyst (Data Governance and Data Quality Management)Location: Auburn Hills, MI. Must be local or relocation (out of pocket from day 1). No exceptions. HEAVY preference for locals in this group. NO West Coast candidates (PST) will be consideredDuration: Long-term Job Type: Contract - W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MINOTE:Highlighted Job duties ARE the REQUIRED SKILLS, please make sure that they have details around these types of duties clearly outlined in their resumes. Thank you.Location: Auburn Hills, MI (at least two days on site per week)Business Analyst (Data Governance and Data Quality Management)•Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities for the Chief Data & Analytics Office. •Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting. •Responsible for researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog to ensure it aligns with regulatory expectations.•Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information.•Financial Services / Banking experience preferred.Kindly please share your resumes or (

U.S. Banks Data Quality Governance Data Risk, AVP Join to apply for the U.S. Banks Data Quality Governance Data Risk, AVP role at Morgan Stanley U.S. Banks Data Quality Governance Data Risk, AVP 1 day ago Be among the first 25 applicants Join to apply for the U.S. Banks Data Quality Governance Data Risk, AVP role at Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the AVP (Assistant Vice President) will support the U.S. Banks Data Quality Program for driving compliance with the Firm’s Data Quality Policy and procedures. The AVP role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include Executing Global Data Quality Policy requirements to ensure compliance of prioritized data for the US Banks. Collaborate with Firm Data Office, Divisional Data Offices and Technology partners to perform data flow analysis, assess data quality controls, identify data owners, catalog metadata in Collibra, and manage annual re-attestation. Create activities for technology delivery to develop dashboards, automate stakeholder communications, and provide data quality management solutions. Deliver educational sessions and empower stakeholders to perform their roles and responsibilities with available tools. Identify data related issues related to processes, technical issues, or controls impacting data Consumers. Monitor and report on data related issues, partner with issue owning division to ensure accuracy of issues reported and timely remediation. Monitor data quality controls and report to stakeholders for timely review and resolution. Develop metrics and dashboards for periodic management committee reporting. Document and maintain procedures and desktop procedures. Qualifications Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Minimum 5+ years of experience in financial services. Bachelor’s Degree required. Experience working in fast paced and Agile environment. Strong analytical skills with a focus on remediating data issues. Experience with data management and governance, data quality, data analysis, data lineage processes are a distinct plus. Ability to collaborate with cross-functional stakeholders. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Expected base pay rates for the role will be between $85,000 and $40,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet). 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• 8-10+ years of Data analytics experience- ideally in a data warehouse environment
• Any Data Quality tool: Collibra DQ, Informatica DQ, Astera, Talend, in-house DQ tools, etc
• Collibra DQ preferred, as this will be a Collibra DQ Analyst
• Data reconciliation project experience

• Data
• Data Quality
• Quality
• Collibra
• Collibra DQ
• Data Warehouse
• Astera
• Talend
• Informatica
• Reconciliation

• Recruiter
• Email
• Phone
• Trapti Jhala

Good experience in DQ, IDQ and CDQTechnical expertise regarding data modeling, database design development, data mining, and segmentation techniques. Advanced knowledge of statistical applications within Financial Services to interpret data requests and identify data analytics opportunities. Advanced knowledge and experience using statistical packages for analyzing data sets (Excel, Access, SPSS). Ability to lead, influence and direct peers, subordinates and management.Ability to make effective decision making on complex matters.Ability to convey a sense or urgency and drive Ability to exercise stakeholder confidentiality and discretionary judgment.Ability to adjust to new developments/changing circumstances.Ability to interact with senior level management; experience interfacing with multiple levels of the organizational structure.Ability to maintain and report on confidential information in an appropriate manner.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Self-directed, self-motivated and demonstrated experience providing ideas and solutions to further business understanding.Excellent written and oral communication skills. Results oriented; ability to work efficiently and meet strict reporting deadlines.Maintains and monitors data and databases to meet the companys current and projected future needs. Reviews and ensures the quality, accuracy and security of data in accordance with established procedures and standards. Monitors database activity and the relationships between the database users and applications to ensure appropriate data usage and resolve data conflicts. Collaborates with technology/infrastructure staff to identify data relationships and functional requirements.Functional Desc:Designs and monitors control systems which ensure the integrity and security of data and for advising on the optimal use of the organizations computing resources. Assesses the completeness, accuracy, validity and efficiency of information processing, business and application systems, reviews the operations, systems software, systems development and security of the organizations computing environment, and recommends appropriate software and hardware acquisitions.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Responsibilities: Engage data owners and stewards, business users, and the data management team to ensure Data Governance and Quality processes are implemented and managed, including updating and maintaining documentation, identifying and documenting critical data elements, preparing and managing business and technical metadata, defining data quality thresholds, and identifying and triaging data integrity issues. Responsible for the administration of data governance and quality software, maintaining a corporate data dictionary, ensuring data quality standards are met. Organizes, coordinates, and assists cross-functional teams in planning, development, and execution of Data Governance oriented business processes at the operational level. Measure progress against data definition and quality performance targets, following up with business representatives as necessary. Maintain data governance processes and controls by working with project and business leaders to analyze the impact of future changes on critical data and mitigate any potential risks to data quality. Builds enterprise dashboards and reporting to ensure proper communication of the Data Governance program performance. Act as a change agent with a capacity to successfully measure progress. Proven skills with Microsoft Office suite, especially Excel and Access required. Personal initiative to find opportunities, lead change, improve processes, and solve problems; proven ability to collaborate with business data SMEs throughout the organization. Proven track record of meeting commitments with the highest standards of ethics and integrity. Must be self-directed and have excellent initiative and organizational skills. Excellent verbal and written communication skills. Qualifications & Requirements: Bachelors or Master's in computer science, MIS, or related field of study. Senior level experience in a Data Governance, Data Management, or data-centric role. Data analysis techniques and tools (i.e., SQL, Python, R). Business intelligence tools such as (i.e., Tableau, Qlik, or Power BI). Data profiling techniques and tools. Experience in the mortgage industry or related field is a plus. Strong knowledge of industry-leading data quality and data protection management practices and tools. Ability to work effectively in a team environment and translate business needs into functional and/or technical requirements to meet the needs of the enterprise. Strong knowledge and understanding of data governance and data quality and how they affect business decisions. Ability to design and recommend governance structures and control frameworks for the ongoing management of data. Ability to perform root cause analysis and make recommendations for the remediation of data governance and quality issues. Proven skills with Microsoft Office suite, especially Excel and Access required. Personal initiative to find opportunities, lead change, improve processes, and solve problems. Proven ability to collaborate with business data SMEs throughout the organization. Proven track record of meeting commitments with the highest standards of ethics and integrity. Must be self-directed and have excellent initiative and organizational skills. Excellent verbal and written communication skills. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr