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Data Governance Platform Jobs in Delaware (NOW HIRING)

City National Bank

$87K - $138K/yr

... development platforms and computing environments including SQL, Oracle, Snowflake, Excel VBA ... Validate existing Data Quality rules to ensure they meet Data Governance requirements * Review the ...

City National Bank

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

... development platforms and computing environments including SQL, Oracle, Snowflake, Excel VBA ... Validate existing Data Quality rules to ensure they meet Data Governance requirements * Review the ...

City National Bank

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

... development platforms and computing environments including SQL, Oracle, Snowflake, Excel VBA ... Validate existing Data Quality rules to ensure they meet Data Governance requirements * Review the ...

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Data Governance Platform information

What is a data governance platform?

A Data Governance Platform is a software solution designed to help organizations manage, monitor, and control their data assets effectively. It provides tools and frameworks for ensuring data quality, security, privacy, and compliance with regulations. These platforms enable companies to define data ownership, establish policies, track data lineage, and facilitate collaboration among stakeholders. By using a data governance platform, businesses can improve data transparency, reduce risks, and make more informed decisions.

What are the key skills and qualifications needed to thrive as a data governance platform specialist?

To thrive as a Data Governance Platform Specialist, you need a solid understanding of data management principles, metadata, data quality, and compliance frameworks, often supported by a degree in information systems or a related field. Familiarity with data governance platforms such as Collibra, Informatica, or Alation, as well as relevant certifications like CDMP, is typically required. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring data integrity, regulatory compliance, and effective collaboration across business and IT teams.

What are some common challenges faced by professionals working with a data governance platform, and how can they be addressed?

Professionals working with a Data Governance Platform often encounter challenges such as ensuring data quality across disparate systems, securing stakeholder buy-in, and maintaining regulatory compliance. Addressing these challenges typically involves collaborating closely with IT, business teams, and data stewards to establish clear data ownership, standardized processes, and ongoing training. Regular communication, well-documented policies, and leveraging platform features for automation and monitoring can help teams proactively manage these complexities and support organizational data initiatives.

What is the difference between Data Governance Platform vs Data Analyst?

AspectData Governance PlatformData Analyst
CredentialsCertifications in data management, data governance, or related fieldsDegrees in statistics, data science, or related fields; often certifications in analytics tools
Work EnvironmentTypically enterprise-level, IT-focused teams managing data policiesBusiness units, analytics teams, or data science departments analyzing data
Employer & Industry UsageUsed by organizations implementing data policies across industriesUsed across industries for data analysis and reporting
Search & Comparison IntentUnderstanding data governance tools and platformsAnalyzing data to generate insights

While a Data Governance Platform focuses on managing data policies, quality, and compliance across an organization, a Data Analyst interprets data to support business decisions. Both roles are essential but serve different functions within data management and analysis.

Is data governance a good career?

Data governance is a growing field that involves establishing policies and standards to manage data quality, security, and compliance within organizations. Careers in data governance typically require skills in data management, understanding of regulations, and familiarity with tools like data catalogs and metadata management platforms. It offers opportunities for advancement in data-driven environments and often involves collaboration with IT and business teams.

What are popular job titles related to Data Governance Platform jobs in Delaware?

For Data Governance Platform jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Governance Platform jobs in Delaware look for?

The top searched job categories for Data Governance Platform jobs in Delaware are:

What cities in Delaware are hiring for Data Governance Platform jobs?

Cities in Delaware with the most Data Governance Platform job openings:

Data Governance Platform jobs near you
Infographic showing various Data Governance Platform job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

CCOR Data Management Lead

Newark, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 23 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Vice President within the Data Strategy Team, you are part of the CCOR data management organization. You will play a pivotal role in executing data strategies that drive business operations and strategic objectives. Data Product Managers serve as subject matter experts, coordinating between providers and consumers to design fit for purpose, well governed data products to solve business needs. By leading efforts to mitigate data risks and enhance data quality, you will ensure data serves as a trusted asset for decision-making and innovation. Your leadership will foster a data-driven culture that supports organizational growth and competitive advantage. You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams, CCOR CDO and CCOR technology partners to determine appropriate strategies to manage and leverage CCOR data to drive innovation. Also oversee delivery of acentral data platform which is critical part of CCOR data strategy to enable the innovation agenda using AI/ML, advanced analytics & automation.

Job Responsibilities
  • Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
    • Provide Data product ownership for one or more CCOR data product lines for implementation of CCOR Data Lake, including functional requirements capture, Product design, test planning and oversight, prioritization of work, and working with technology partners throughout development to ensure clear understanding of requirements and quality of delivery.
    • Manage the execution of projects and related milestones,understand and mitigate risks, bottlenecks, and inefficiencies throughout the project/ initiative
    • Collaborate with key partners toensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
    • Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
    • Partner with CDO & technology teams to design & develop tools & processes for effective data management
    • Develop prototypes for data visualization, data analytics & automation in partnership with other CCOR Digital teams & product owners
    • Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
    • Manage and guide direct or matrixed staff in executing data-related tasks and initiatives
Required qualifications, capabilities, and skills
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field
    • Minimum 5 years of experience in data management, data governance, risk management/analytics, or a related field
    • Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
    • In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
    • Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
    • Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
    • Strong leadership skills with experience in managing and mentoring cross-functional teams
    • Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects
    • Experience working on large scale data lake / data-warehousing projects
    • Knowledge of data modeling techniques is a must have.
    • Hands on SQL writing knowledge is required, along with experience to write Python & Pyspark code is required.
Preferred qualifications, capabilities, and skills
  • Experience with Tableau, QlikView, Thoughtspot or other reporting and analytics tools is a strong plus
    • Experience with AI/ML techniques is plus.
    • Experience with cloud-based data platforms and technologies, such as Databricks, Snowflake, AWS, Azure, or Google Cloud is a strong plus
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