1

Cybersecurity Risk Management Jobs in Delaware (NOW HIRING)

Strategic Sourcing Manager

Wilmington, DE ยท On-site

$125K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to ensure effective risk management and governance. * Provide guidance on complex supplier negotiations, RFPs, evaluations, and ...

Manager, IT Audit

Wilmington, DE ยท On-site

$105K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cybersecurity, data and integrated audits - to ensure technology risks are effectively identified ... Advanced knowledge of IT audit concepts and technology risk management ; strong grasp of internal ...

$140 - $200/hr

Responsible for the development and execution of cybersecurity strategies, risk management programs, vulnerability management, and security awareness initiatives. * Respond appropriately and ...

Lead IAM Governance Specialist

Wilmington, DE ยท Hybrid

$128K - $213K/yr

Partners with peers, manager, Cybersecurity team and leadership, First Line Risk team, Internal Audit team, and external auditors * Exercises judgement in selecting methods, techniques, and ...

Lead IAM Governance Specialist

Wilmington, DE ยท On-site

$128K - $213K/yr

Partners with peers, manager, Cybersecurity team and leadership, First Line Risk team, Internal Audit team, and external auditors * Exercises judgement in selecting methods, techniques, and ...

Showing results 41-60

Cybersecurity Risk Management information

See Delaware salary details

$57K

$133.1K

$186.2K

How much do cybersecurity risk management jobs pay per year?

As of Aug 16, 2026, the average yearly pay for cybersecurity risk management in Delaware is $133,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $150,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in cybersecurity risk management, and how can they be addressed?

Professionals in Cybersecurity Risk Management often encounter challenges such as keeping up with rapidly evolving cyber threats, balancing security needs with business objectives, and ensuring compliance with industry regulations. Addressing these challenges requires continuous learning, effective communication with stakeholders, and close collaboration with IT, legal, and business teams. Building strong partnerships across departments and investing in ongoing training can help mitigate these obstacles and support proactive risk management.

What is the difference between Cybersecurity Risk Management vs Cybersecurity Analyst?

AspectCybersecurity Risk ManagementCybersecurity Analyst
CertificationsCRISC, CISSP, CISMCompTIA Security+, CEH, CISSP
Work EnvironmentRisk assessment, policy development, strategic planningMonitoring security systems, incident response, vulnerability analysis
Employer & Industry UsageFinancial, healthcare, government, large enterprisesIT departments, cybersecurity firms, corporate security teams

Cybersecurity Risk Management focuses on identifying, assessing, and mitigating security risks at an organizational level, often involving policy creation and strategic planning. In contrast, a Cybersecurity Analyst primarily monitors security systems, responds to incidents, and analyzes vulnerabilities. Both roles require similar certifications but serve different functions within cybersecurity teams.

What are the key skills and qualifications needed to thrive in cybersecurity risk management, and why are they important?

To thrive in Cybersecurity Risk Management, you need a solid understanding of information security principles, risk assessment methodologies, compliance standards, and typically a degree in cybersecurity or a related field. Familiarity with risk management frameworks (such as NIST or ISO 27001), security tools, and professional certifications like CISSP or CRISC is highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals translate technical risks for non-technical stakeholders and foster collaboration. These competencies are crucial to proactively identifying threats, managing vulnerabilities, and ensuring organizational resilience in a rapidly evolving digital landscape.

What is cybersecurity risk management?

Cybersecurity risk management is the process of identifying, assessing, and prioritizing risks to an organization's digital assets and information systems. It involves implementing strategies and controls to minimize the impact of potential cyber threats, such as data breaches, malware, and unauthorized access. The goal is to balance security measures with business needs, ensuring sensitive information remains protected while maintaining operational efficiency. Effective risk management is ongoing, adapting to new threats and changes within the organization.

What are popular job titles related to Cybersecurity Risk Management jobs in Delaware?

For Cybersecurity Risk Management jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Risk Management jobs in Delaware look for?

The top searched job categories for Cybersecurity Risk Management jobs in Delaware are:

What cities in Delaware are hiring for Cybersecurity Risk Management jobs?

Cities in Delaware with the most Cybersecurity Risk Management job openings:

Infographic showing various Cybersecurity Risk Management job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $133,077 per year, or $64 per hour.

Director AI Strategy & Intelligent Automation

Bancorp Bank

Wilmington, DE โ€ข On-site

$130 - $180/hr

Other

Re-posted 2 days ago


Job description

Position Summary

At The Bancorp, weโ€™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 Director AI Strategy & Intelligent Automation role is responsible for establishing and leading the enterprise strategy, roadmap, governance, and delivery of AI-enabled automation capabilities across The Bancorp. This role advances the organization from task-based automation to intelligent, predictive, and decision-driven operating models by applying artificial intelligence, machine learning, natural language processing, document intelligence, generative AI, agentic workflows, and data-driven decision making to high-value business processes.

This position serves as the enterprise leader and executive sponsor for AI within the Automation program, ensuring that solutions are scalable, secure, measurable, compliant, and aligned with enterprise architecture, model risk management, data governance, information security, vendor risk, and regulatory expectations. The role operates across business, technology, operations, risk, compliance, legal, and data functions, requiring strong executive influence, strategic planning, portfolio leadership, change management, and the ability to translate emerging AI capabilities into practical business outcomes within a regulated banking environment.

Key Responsibilities
  • Owns the enterprise AI and intelligent automation strategy, roadmap, and operating model in alignment with business priorities, risk appetite, regulatory expectations, and enterprise transformation objectives.
  • Leads prioritization of AI-enabled automation opportunities through intake governance, feasibility assessment, business case development, funding alignment, benefits estimation, and executive decision-making forums.
  • Provides executive leadership for the design, architecture, and delivery of enterprise AI solutions that integrate machine learning, NLP, document intelligence, cognitive services, generative AI, and decisioning capabilities into business workflows.
  • Oversees a portfolio of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, decision support, knowledge assistants, workflow orchestration, and agentic AI-enabled process improvement.
  • Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal, Information Security, Financial Crimes, and business leaders to operationalize AI solutions in production environments.
  • Establishes enterprise standards, reusable frameworks, controls, and best practices for AI model integration, orchestration with RPA platforms, cloud-based AI services, APIs, LLM-enabled capabilities, and scalable automation delivery.
  • Ensures AI solutions meet responsible AI, model risk management, data governance, privacy, cybersecurity, auditability, third-party risk, and regulatory compliance requirements.
  • Evaluates, selects, and governs AI technologies, automation platforms, implementation partners, and vendors in accordance with enterprise architecture, procurement, legal, risk, and compliance standards.
  • Defines performance metrics, value realization methods, and executive reporting to measure productivity improvement, risk reduction, cycle-time improvement, cost optimization, quality enhancement, and adoption of AI-enabled solutions.
  • Builds, develops, and leads a high-performing AI and automation capability, providing direction, mentorship, talent development, and accountability for delivery quality and organizational readiness.
  • Advances AI literacy, adoption, and change management across the enterprise by translating complex technical concepts into practical business value, controls, and implementation plans.
  • Represents the Automation program in governance forums, executive updates, audit or regulatory reviews, vendor assessments, strategic planning activities, and cross-functional decision-making forums, as needed.
  • Performs other duties as assigned.
Qualification Requirements
  • Bachelorโ€™s degree in Computer Science, Data Science, Engineering, Business, Information Systems, or related field, or equivalent experience.
  • 12+ years of experience in AI, intelligent automation, technology strategy, digital transformation, data science, advanced analytics, or related enterprise technology functions.
  • 5+ years of leadership experience managing cross-functional teams, enterprise technology portfolios, transformation programs, or AI/automation delivery capabilities.
  • Demonstrated experience defining enterprise strategy, governance, roadmaps, operating models, and measurable outcomes for AI, automation, analytics, or technology-enabled transformation initiatives.
  • Proven ability to influence senior executives and lead complex initiatives across business, technology, data, risk, compliance, legal, information security, and operations stakeholders.
  • Strong understanding of AI/ML, generative AI, NLP, intelligent automation, workflow orchestration, cloud-based AI services, data governance, model risk management, and regulatory considerations within financial services.
  • Advanced degree, such as a Masterโ€™s degree or PhD, in AI, Data Science, Computer Science, Engineering, Business, or related discipline, preferred.
  • Experience building, leading, or scaling an enterprise AI, intelligent automation, digital transformation, innovation, or AI Center of Excellence capability, preferred.
  • Experience operating within banking, sponsor banking, fintech, payments, lending, financial crimes, compliance, or other regulated financial services environments, preferred.
  • Familiarity with platforms and technologies such as UiPath, Python, Azure AI/OpenAI, cloud AI services, APIs, RAG, LLMOps, MLOps, document intelligence, predictive modeling, and agentic AI workflows, preferred.
  • Experience establishing responsible AI governance, model lifecycle management, risk controls, production monitoring, auditability, and human-in-the-loop oversight for AI-enabled processes, preferred.
  • Experience evaluating AI vendors, automation platforms, implementation partners, third-party risk considerations, commercial models, and enterprise technology investment decisions, preferred.
  • Exceptional executive communication, stakeholder engagement, facilitation, and presentation skills with the ability to translate technical capabilities into business impact, preferred.
  • Demonstrated ability to drive change management, adoption, training, and organizational readiness for AI-enabled transformation in evolving program structures, preferred.
  • Strong business judgment, strategic thinking, and execution discipline with the ability to balance innovation, operational value, risk management, compliance, and enterprise scalability, preferred.

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.

#J-18808-Ljbffr