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Ai Solutions Manager Jobs in Delaware (NOW HIRING)

Percient Inc.

Agentic AI

Wilmington, DE · On-site

... management, tool/function calling, and workflow orchestration. * Hands-on experience with ... Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and ...

Bancorp Bank

$100 - $130/hr

Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements. * Provides technical leadership and mentorship to automation team members, elevating AI ...

Bancorp Bank

$150 - $200/hr

Ensures AI solutions meet responsible AI, model risk management, data governance, privacy, cybersecurity, auditability, third-party risk, and regulatory compliance requirements. * Evaluates, selects ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Essential Responsibilities Partner with product managers and developers to support AI solution delivery across the product lifecycle. Help define, document, and communicate clear business and ...

ClifyX

GenAI Engineer

Wilmington, DE · On-site

Responsibilities : • Design and develop AI/ML and Generative AI solutions for banking use cases ... Strong communication, stakeholder management, and analytical thinking Company : ClifyX provides ...

Mission Lane

Operations Senior Manager, AI

Wilmington, DE · On-site +1

$136K - $162K/yr

That's the work of the Operations Senior Manager, AI. The impact you'll make: You'll have the scope ... where meaningful AI solutions exist, sizing the problems within the Mission Lane context ...

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Ai Solutions Manager information

See Delaware salary details

$49.5K

$94.3K

$151.1K

How much do ai solutions manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai solutions manager in Delaware is $94,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $115,100.00 per year, depending on experience, location, and employer.

What is an AI Solutions Manager?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an AI Solutions Manager, and why are they important?

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.

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

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

How do you become an AI solutions manager?

To become an AI solutions manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI, machine learning, and project management. Earning relevant certifications or advanced degrees can enhance prospects, and developing skills in programming languages like Python and familiarity with AI tools are also beneficial. Prior experience leading technical teams or managing AI projects is often required for this role.

What are popular job titles related to Ai Solutions Manager jobs in Delaware?

For Ai Solutions Manager jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Ai Solutions Manager jobs in Delaware look for?

The top searched job categories for Ai Solutions Manager jobs in Delaware are:

What cities in Delaware are hiring for Ai Solutions Manager jobs?

Cities in Delaware with the most Ai Solutions Manager job openings:

Ai Solutions Manager jobs near you
Infographic showing various Ai Solutions Manager job openings in Delaware as of July 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Analytics Solutions Manager

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 172 rated banks

People enjoy working here

Good employer

Recommended by students

Learn more about JPMorgan Chase & Co.external

$130 - $160/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

As a Data & Analytics Solutions- Vice President within the Finance Data and Insight (FDI) product group, you execute on Data and Analytical Solution related Product development strategy and outcomes for Marketing Finance Area Product.

Job Responsibilities
  • Executes on Data and Analytical Solution related Product development strategy and outcomes for product, complexity/dependency, risk/compliance and internal/external customer experience impact
  • Plan and executes Product delivery roadmaps aligned to overall Product vision using careful analysis of customer needs, competitive intelligence, data/analytics, firm’s capabilities and financials
  • Coordinate with Business stakeholders to analyze business requirement and build the backlog for Tech for development.
  • Facilitate collaboration with cross-functional product and area product leads. Engages and leverages key product group partners (Design, Data Owner, Tech Architect, Engineering, Data/Analytics etc.) early enough and often in the area product development strategy and provides access to customers to deliver value.
  • Partners on software product development and tech build to create quality and scalable features/solutions including contributing to team through the writing of user stories
  • Executes area product workflow through JIRA. Prioritizes and sequences backlog considering audit/controls, data landscape, data center migration, resiliency, etc., coordination of release dates and is responsible for area backlog and health as part of overall product.
  • Understanding of underlying technology that drives product. This includes ownership for tech assets needed for product development (full view expectation to help drive end-to-end ownership and the assumption of the tech debt that builds up over time based on decision making)
  • Lead & develop AI / ML and Agentic Solution delivery
  • Mange stakeholder expectation, roadmap planning, priority setting, Management reporting.
  • Design and implement comprehensive and efficient data product / data mart / Analytical solution that consolidate key data categories from various source systems, tailored to the needs of the Marketing Finance & Business Management functions.
Required qualifications, capabilities and skills
  • 12+ years of broad Product Management, Data Product Management and Analytics Solutions
  • Bachelor’s Degree in Computer Science, Information Systems, Finance MIS, or related field
  • Experience in managing complex Product leveraging complex data and models in a fast-paced, dynamic environment.
  • Ability to set and manage accountabilities and expectations at all levels - team members, peers, business partners and senior management
  • Strong track record of leading dynamic team, delivering challenging initiatives using expert-level program/product/function management skillset
  • Proven leadership and influencing skills and ability to collaborate across a highly matrix organization
  • Experience in designing and implementing scalable and efficient data mart architectures, including star schema, snowflake schema, and other data modeling techniques.
  • Exposure to statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights.
  • Good understanding of P&L / Finance in general. Understanding of Credit Card Business will be added advantage.
Preferred Qualifications
  • Demonstrated Senior leadership in terms of attitude, initiative and inclusivity
  • Product Management Experience
  • Experience with Python, Databricks, Snowflake, or other Cloud Data Warehouse, Data Engineering, Data Modeling, ERWIN
  • Agile backlog management tools (JIRA, Confluence)
  • Added advantage to have ThoughtSpot, Tableau, Alteryx, or Essbase experience
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