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Data Governance Platform Jobs in Delaware (NOW HIRING)

$100 - $130/hr

Experience integrating AI capabilities into operational workflows and automation platforms. * Strong understanding of model risk, data governance, and regulatory considerations within financial ...

New

Data Analyst Senior- VP Python

Newark, DE · On-site

$101K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

City National Bank ("CNB") is seeking a Senior Data Analyst to strengthen our data governance and ... Proficiency with Snowflake or similar cloud data warehouse platforms WHAT DO YOU NEED TO SUCCEED?

Data Analyst Senior- VP Python

Newark, DE · On-site

$101K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

City National Bank ("CNB") is seeking a Senior Data Analyst to strengthen our data governance and ... Proficiency with Snowflake or similar cloud data warehouse platforms WHAT DO YOU NEED TO SUCCEED?

$150 - $200/hr

... data governance, privacy, cybersecurity, auditability, third-party risk, and regulatory compliance requirements. * Evaluates, selects, and governs AI technologies, automation platforms ...

Showing results 41-60

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:

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.

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank, The

Wilmington, DE • On-site

$100K - $132K/yr

Full-time

Re-posted 25 days ago


Job description

Position Summary
Work Arrangement:
***This position is available as a hybrid position in our Wilmington, DE office.***
At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.
Key Responsibilities
  1. Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  2. Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  3. Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  4. Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  5. Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  6. Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  7. Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  8. Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  9. Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  10. Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  11. Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  12. Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  13. Performs other duties as assigned.
  14. No travel required.

Qualification Requirements
Education / Experience Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications
  • Advanced degree (Master's or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.

Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
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