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What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Delaware? For Ai Risk Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Delaware look for? The top searched job categories for Ai Risk Manager jobs in Delaware are:
What cities in Delaware are hiring for Ai Risk Manager jobs? Cities in Delaware with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Delaware as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Director AI Strategy & Intelligent Automation

Bancorp Bank, The

Wilmington, DE • On-site

Full-time

Posted 22 days ago

Job description

Position Summary
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 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
  • Bachelor'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 Master'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.

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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