AI Data Specialist Jobs in Delaware
AI Data Specialist jobs in Delaware concentrate in financial services, life sciences, and state government technology, with demand reaching from entry-level analysts to senior machine learning engineers. Most hiring activity is in Wilmington, Newark, and Dover, where established employers such as JPMorgan Chase, DuPont, and Incyte maintain significant technology and data operations. Roles specializing in NLP pipeline development, predictive modeling for regulated industries, and data governance are among the most sought after in the state. Scan the live roles below and apply to whichever ones fit.
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Position Summary
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.
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.
#LI-PJ1
Position Summary
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.
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.
#LI-PJ1
See All 21 AI Data Specialist Jobs in Delaware
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Find AI Data Specialist JobsAI Data Specialist Jobs by City in Delaware
Where Delaware roles are concentrated, by current openings.
AI Data Specialist Job Market in Delaware
A snapshot from current Delaware openings, updated as new roles post.
Who's Hiring
- JPMorganChase10
- CVS Health4
- The Bancorp2
- I8IS1I
- Agilent Technologies1
Top Industries Hiring
- Healthcare & Medical Services5
- Fintech4
- Banking & Financial Services4
- Investment & Asset Management4
- Technology & Software2
What Delaware Employers Look For
The qualifications that appear most often in AI data specialist jobs across Delaware.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python or R with hands-on experience building and deploying ML models
- Experience working with large structured and unstructured datasets using SQL or cloud data platforms
- Familiarity with data governance and compliance requirements common in financial services or life sciences
- Strong communication skills to translate model outputs into actionable insights for non-technical stakeholders
- Experience with version control systems and collaborative development workflows such as Git
AI Data Specialist Jobs in Delaware: Frequently Asked Questions
How do you become a ai data specialist in Delaware?
There is no state-issued license required to work as an ai data specialist in Delaware. Most candidates enter the field with a bachelor's degree in data science, statistics, computer science, or a related discipline, though employers in Wilmington's financial corridor and Newark's life sciences cluster increasingly prefer a master's degree. Building a portfolio of documented ML projects and earning recognized certifications in cloud platforms or data engineering strengthens a Delaware application considerably.
Which companies hire ai data specialists in Delaware?
Delaware ai data specialist roles are posted by JPMorganChase, CVS Health, and The Bancorp and others right now, based on current listings on Migrate Mate as of July 2026. Delaware's concentration of major financial institutions headquartered in Wilmington and life sciences companies anchored in the Wilmington-Newark corridor makes it a consistent source of data and AI openings year-round.
Which Delaware cities have the most ai data specialist jobs?
Wilmington, Delaware, and Bear account for the largest share of ai data specialist openings in Delaware. Wilmington drives demand through its dense cluster of banking and financial technology headquarters, Newark benefits from its proximity to the University of Delaware and regional life sciences employers, and Dover draws openings tied to state government IT modernization and public-sector data initiatives.
Are there remote ai data specialist jobs in Delaware?
Yes, and more than most fields. About 43% of ai data specialist openings tied to Delaware are remote or hybrid as of July 2026, reflecting how naturally this work adapts to distributed environments. Roles focused on model development, data pipeline engineering, and analytics tend to be the most remote-friendly, while positions requiring close collaboration with on-site lab or compliance teams in life sciences are more likely to require in-person presence.
How can I get hired as a ai data specialist in Delaware with little or no experience?
The most realistic entry path is securing an analyst or junior data role within Delaware's financial services sector, where firms along Wilmington's Brandywine riverfront regularly hire recent graduates into structured rotational or associate programs that include AI and data components. University of Delaware graduates can also leverage on-campus recruiting pipelines with regional life sciences employers such as Incyte and AstraZeneca's Delaware sites. Building a documented portfolio of end-to-end ML projects and completing a recognized cloud data certification gives candidates without direct experience a concrete edge in these screenings.
Where can I find and apply to ai data specialist jobs in Delaware?
You can find and apply to ai data specialist jobs in Delaware on Migrate Mate, which lists current openings across the state. Search the roles available, identify the ones that match your background and preferences, and apply directly through each listing.
See All 21 AI Data Specialist Jobs in Delaware
Find roles in Delaware that match your experience and apply in just a few clicks.
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