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Data Quality Manager Jobs in Delaware (NOW HIRING)

Photon

Data Engineer Lead

Newark, DE · On-site

Drive delivery of data change detection (CDC) and the data validation/quality testing framework. Own "contract as code" governance: data schema management via CI/CD and Git-based data governance.

Dlapiper

Sr Data Analyst

Wilmington, DE · Hybrid

$83K - $105K/yr

... data quality issues. This individual leads large-scale analytical initiatives, mentors' junior ... Drive and manage large-scale analytical projects that span multiple teams and functions.

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$31K

$97.2K

$172.1K

How much do data quality manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data quality manager in Delaware is $97,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $125,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data quality manager?

To thrive as a Data Quality Manager, you need a strong background in data management, data governance, and analytical skills, usually supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or SQL), data profiling techniques, and relevant certifications like CDMP are typically expected. Excellent communication, problem-solving abilities, and leadership skills help in collaborating with cross-functional teams and driving data quality initiatives. These skills ensure accurate, reliable data which is critical for informed business decision-making and regulatory compliance.

Is data quality a good career?

Data Quality Managers play a crucial role in ensuring the accuracy, consistency, and reliability of data within organizations. The field offers strong job growth, competitive salaries, and opportunities to work with data management tools and standards, making it a valuable career choice for those interested in data integrity and analytics.

What are the most common challenges a data quality manager faces when implementing data governance initiatives?

Data Quality Managers often encounter challenges such as gaining cross-departmental buy-in, standardizing data definitions, and addressing inconsistent data entry practices. Successfully implementing data governance requires close collaboration with IT, business analysts, and leadership to align on data standards and processes. Additionally, managing change and ensuring ongoing user training are critical, as stakeholders may be resistant to new data policies or tools. Addressing these challenges proactively helps to build a culture of data ownership and accountability across the organization.

What is the role of a data quality manager?

A data quality manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop data standards, implement quality control processes, and use tools like data profiling and validation to maintain high data integrity. This role often requires strong analytical skills and knowledge of data management software.

What does a data quality manager do?

A Data Quality Manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality standards, monitor data integrity, and work closely with data analysts, IT teams, and business units to resolve data issues. Their goal is to ensure that data used for business decisions is trustworthy and meets regulatory and organizational requirements. This role often involves leading data governance initiatives and managing data quality improvement projects.

What is the difference between Data Quality Manager vs Data Analyst?

AspectData Quality ManagerData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity across systemsAnalyzing data to identify trends, patterns, and insights
Required SkillsData governance, quality control, database managementStatistical analysis, data visualization, reporting tools
CertificationsData Management certifications (CDMP, DAMA), SQLData analysis certifications (CAP, Microsoft Certified Data Analyst)
Work EnvironmentData governance teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments

While both roles work with data, the Data Quality Manager focuses on maintaining data standards and quality assurance, whereas the Data Analyst interprets data to support business decisions. They often collaborate but serve different functions within organizations.

What are the most commonly searched types of Data Quality jobs in Delaware? The most popular types of Data Quality jobs in Delaware are:
What are popular job titles related to Data Quality Manager jobs in Delaware? For Data Quality Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Quality Manager jobs in Delaware look for? The top searched job categories for Data Quality Manager jobs in Delaware are:
What cities in Delaware are hiring for Data Quality Manager jobs? Cities in Delaware with the most Data Quality Manager job openings:
Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Data Owner Vice President Banking Payments - Connected Commerce

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


Job Description
Data is a powerful driver of innovation-when it is trusted, protected, and easy to use. Join a team where you can shape how Banking Payments data is defined, governed, and delivered to enable better decisions, modernized products, and responsible analytics. You will partner across product, operations, technology, and analytics to raise data quality standards and create scalable, compliant data capabilities. This is an opportunity to lead with influence, set clear direction, and help teams move faster with confidence.
As a Data Owner, Banking Payments at JP Morgan Chase within Banking Payments, you will be accountable for the data produced, provisioned, and consumed across Banking Payments products to support strategic business objectives, advanced analytics, business operations, and reporting. You will define and drive a data roadmap that improves quality, protection, understanding, fit-for-purpose use, discoverability, and integration into analytics platforms, while ensuring governance and control expectations are met.
Job responsibilities
  • Build and sustain collaborative relationships across stakeholders to meet governance and controls requirements
  • Establish data quality expectations and oversight for critical data exposed to consumers, reducing risk from poor-quality data
  • Define and execute a product data roadmap supporting modernization and marketing initiatives, including acquisitions and migrations
  • Direct processes and procedures supporting Artificial Intelligence and machine learning initiatives (access and approvals, classification, tag management, harvesting, definitions) and evaluate relevant vendor solutions
  • Partner with product owners, process owners, and analytics leads to identify, define, classify, and prioritize critical data for their business areas
  • Support privacy initiatives across the firm and lines of business in a highly legislative environment that requires broad data expertise
  • Provide subject matter expertise on the Banking Payments data estate and the firm's data governance tooling, including application and product priorities tied to compliance processes
  • Communicate clearly and consistently on roadmap progress, risks, dependencies, and outcomes to drive alignment and delivery

Required qualifications, capabilities and skills
  • 6+ years of industry experience in a data-related field
  • Experience managing delivery across multiple workstreams with varying timelines, priorities, and complexities
  • Demonstrated ability to manage tight timelines and deliver strategic change that meets organizational goals
  • Proven ability to build internal partnerships and influence stakeholders across levels and functions
  • Strong leadership skills across products, programs, projects, teams, and/or employees
  • Structured thinking and excellent written and verbal communication skills
  • Understanding of Agile delivery methodology
  • Strong knowledge of SQL, Alteryx, Python, Amazon Web Services (AWS), and Snowflake
  • Experience with AI-driven operational efficiency by leveraging Al tools to synthesize data definitions, auto-generate data quality rules and epics.

Preferred qualifications, capabilities and skills
  • Bachelor's degree required; Master's degree preferred
  • Experience managing direct and/or matrixed staff to deliver data-related outcomes
  • Technical knowledge of data management and governance, big data platforms, or data architecture
  • Experience supporting privacy initiatives and control requirements in regulated environments
  • Deep subject matter expertise in business or product data area preferred.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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