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Ux Program Manager Jobs in Connecticut (NOW HIRING)

Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders ... Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI ...

Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders ... Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI ...

Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders ... Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI ...

Showing results 41-60

Ux Program Manager information

See Connecticut salary details

$36.6K

$102.2K

$149.4K

How much do ux program manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ux program manager in Connecticut is $102,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $126,000.00 per year, depending on experience, location, and employer.

What is a UX program manager?

UX Program Managers are professionals who coordinate and oversee user experience (UX) projects across teams to ensure seamless execution and alignment with business objectives. They bridge the gap between designers, researchers, engineers, and product managers by managing timelines, resources, and project goals. Their role focuses on strategic planning, stakeholder communication, and process optimization to deliver high-quality user experiences. UX Program Managers must possess strong organizational, communication, and leadership skills.

How does a UX program manager typically collaborate with design, research, and engineering teams?

A UX Program Manager acts as a bridge between UX designers, researchers, and engineering teams, ensuring alignment on project goals and timelines. They facilitate regular cross-functional meetings, manage project roadmaps, and help resolve any blockers that arise during the product development lifecycle. By coordinating priorities and resources, they enable teams to deliver cohesive and user-centered experiences while meeting business objectives. Strong communication and organizational skills are essential for balancing stakeholder needs and maintaining project momentum.

What are the key skills and qualifications needed to thrive as a UX program manager, and why are they important?

To thrive as a UX Program Manager, you need expertise in user experience principles, project management, and cross-functional collaboration, often supported by a degree in design, HCI, or a related field. Familiarity with tools like Figma, Jira, and project management software, as well as certifications such as PMP or Agile, is typically expected. Exceptional communication, leadership, and problem-solving skills help you align diverse teams and drive user-centered initiatives. These competencies are crucial for delivering cohesive UX strategies and ensuring successful project outcomes across complex organizations.

What is the difference between Ux Program Manager vs Ux Designer?

AspectUx Program ManagerUx Designer
CredentialsTypically requires a bachelor’s or master’s in design, psychology, or related fields; often with project management certificationsUsually holds a degree in graphic design, interaction design, or related disciplines
Work EnvironmentCoordinates multiple projects, manages teams, and liaises with stakeholders across departmentsFocuses on creating user interfaces, prototypes, and visual designs for specific products
Employer & Industry UsageCommon in tech companies, agencies, and large organizations managing multiple UX projectsFound in design agencies, product teams, and in-house design departments

The Ux Program Manager oversees multiple UX projects, coordinating teams and stakeholders, while the Ux Designer focuses on creating user-centered designs and interfaces. Both roles are essential in the UX field but differ in scope and responsibilities.

Infographic showing various Ux Program Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $102,226 per year, or $49.1 per hour.

Senior Consultant - AI Product / Business Analyst - UX Engineering

Long Finch Technologies
IT Services • 51 - 200 employees

Full-time

Posted 21 days ago


Key responsibilities

  • Gather business requirements and translate them into detailed Jira user stories, acceptance criteria, workflows, and product features.

  • Design, execute, and monitor AI/LLM test scenarios, validate outputs, evaluate prompts, and analyze performance metrics to ensure AI product quality.

  • Collaborate with Engineering, UX, Data Science, and Business teams to prioritize AI capabilities and support the delivery of AI-powered products.


Job description

Job Summary

We are seeking an experienced Senior Consultant – AI Product / Business Analyst  to support the development and validation of AI-powered products and solutions . The ideal candidate will have strong experience working as a Business Analyst, Product Analyst, Product Owner, or similar role , along with hands-on experience in AI/LLM evaluation, prompt engineering, AI testing, and product validation .

The candidate will work closely with Business Stakeholders, Engineering, UX, and Data Science teams  to translate business and AI requirements into actionable product features, user stories, workflows, and acceptance criteria. Experience in the Healthcare domain  is highly preferred, along with hands-on AI experience.

Key Responsibilities

  • Gather and analyze business requirements for AI-powered products and solutions.
  • Translate business requirements into detailed Jira user stories, acceptance criteria, workflows, and product requirements .
  • Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders.
  • Design and execute specialized AI/LLM test cases and evaluation scenarios .
  • Validate LLM-generated outputs for accuracy, quality, completeness, relevance, consistency, and reliability .
  • Evaluate different prompt variations and identify opportunities for prompt optimization.
  • Develop and execute test scenarios for AI agents and agentic workflows .
  • Perform AI model/product validation and analyze AI performance metrics.
  • Identify defects, inconsistencies, and quality gaps in AI-generated content and workflows.
  • Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI capabilities.
  • Support Agile ceremonies including backlog refinement, sprint planning, reviews, and retrospectives.
  • Drive continuous improvement of AI product quality and user experience.
  • Document requirements, test results, evaluation findings, and product recommendations.
  • Partner with stakeholders to ensure AI solutions meet business objectives and user needs.

Required Skills & Qualifications

  • 8–10+ years of experience  as a Business Analyst, Product Analyst, Product Owner, Product Consultant, or equivalent role.
  • Hands-on experience working with AI-powered products, Generative AI, LLMs, or AI/ML solutions .
  • Strong experience creating Jira user stories, acceptance criteria, product requirements, and workflows .
  • Hands-on experience with AI/LLM testing and evaluation .
  • Experience evaluating LLM outputs and comparing prompt variations.
  • Strong understanding of prompt engineering and prompt optimization .
  • Experience validating AI-generated content for accuracy, completeness, consistency, and quality.
  • Experience testing or evaluating AI agents and agentic workflows .
  • Strong Agile/Scrum experience.
  • Excellent communication and stakeholder management skills.
  • Ability to work effectively with Engineering, UX, Data Science, Product, and Business teams .

Preferred / Nice-to-Have Skills

  • Healthcare domain experience is highly preferred.
  • Experience in HR technology, learning technology, content creation platforms, or knowledge management solutions .
  • Experience working with AI-powered enterprise applications.
  • Knowledge of AI evaluation methodologies and performance metrics.
  • Experience with Jira and Agile product development environments.
  • Experience contributing to UX/product discovery and user journey analysis.

Top 3 Responsibilities

  1. Requirements & Product Management:  Gather business requirements, create detailed Jira user stories, define acceptance criteria, and manage product backlogs while translating AI product requirements into actionable features and workflows.
  2. AI/LLM Evaluation & Testing:  Plan, execute, and monitor AI/LLM evaluations by designing test scenarios, validating model outputs, evaluating prompts and agentic workflows, analyzing metrics, and driving continuous product quality improvements.
  3. Cross-Functional Collaboration:  Collaborate with Engineering, UX, Data Science, Product, and Business stakeholders to prioritize AI capabilities and ensure successful delivery of AI-powered products.