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Ux Design Manager Jobs in Springfield, MA (NOW HIRING)

Varsity Tutors

Video Game Design Tutor

Hartford, CT · Remote

$18 - $40/hr

... user experience design disciplines. * Curriculum Awareness & Adaptive Instruction: Familiar with game design curricula and common challenges such as scope management for game projects, learning game ...

Varsity Tutors

Video Game Design Tutor

Northampton, MA · Remote

$18 - $40/hr

... user experience design disciplines. * Curriculum Awareness & Adaptive Instruction: Familiar with game design curricula and common challenges such as scope management for game projects, learning game ...

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All JobsUx Design JobsUx Design Manager JobsUx Design Manager Jobs in Springfield, MA

Ux Design Manager information

See Springfield, MA salary details

$53.3K

$115.6K

$149K

How much do ux design manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ux design manager in Springfield, MA is $115,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $116,100.00 per year, depending on experience, location, and employer.

What is a UX Design Manager?

A UX Design Manager leads and mentors a team of UX designers to create user-centered digital experiences. They collaborate with product managers, developers, and stakeholders to ensure designs align with business goals and user needs. Their responsibilities include overseeing design processes, setting team strategy, and ensuring consistency in user experience across products. They also play a key role in research, usability testing, and design system development. Ultimately, they balance leadership, strategy, and design execution to drive high-quality user experiences.

What are the typical responsibilities of a UX Design Manager?

A UX Design Manager’s daily responsibilities include overseeing design team activities, setting project priorities, and ensuring design deliverables meet both user needs and business objectives. They frequently collaborate with product managers, developers, and stakeholders to align UX strategies with product roadmaps, as well as guide usability testing and design reviews. In addition, they mentor team members, provide constructive feedback, and help resolve any workflow or project challenges that arise. By balancing hands-on design work and team leadership, UX Design Managers play a central role in shaping seamless, effective user experiences.

What are the key skills and qualifications needed to thrive as a UX Design Manager?

To thrive as a UX Design Manager, you need a deep understanding of user-centered design principles, experience leading UX projects, and a relevant degree in design or a related field. Familiarity with industry-standard design tools (like Figma, Sketch, or Adobe XD), prototyping platforms, and knowledge of usability testing methods are highly valuable, and certifications such as UX Certified (NN/g) can be advantageous. Strong leadership, effective communication, and the ability to mentor and inspire multidisciplinary teams set top candidates apart. These skills are crucial for driving innovative user experiences, managing project deliverables, and aligning design strategy with business goals.

What job categories do people searching Ux Design Manager jobs in Springfield, MA look for?

The top searched job categories for Ux Design Manager jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Ux Design Manager jobs?

Cities near Springfield, MA with the most Ux Design Manager job openings:

Ux Design Manager jobs near you
Infographic showing various Ux Design Manager job openings in Springfield, MA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $115,610 per year, or $55.6 per hour.

Senior Consultant - AI Product / Business Analyst - UX Engineering

Long Finch Technologies

West Granby, CT • On-site

Full-time

Posted 13 days ago

Key responsibilities

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

  • 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.

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