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Business Analyst Product Owner Jobs (NOW HIRING)

Long Finch Technologies

CT · On-site

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 ...

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$14

$38

$68

How much do business analyst product owner jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for business analyst product owner in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What is a Business Analyst Product Owner?

A Business Analyst Product Owner is a professional who combines the responsibilities of a business analyst and a product owner within an organization. They are responsible for gathering and analyzing business requirements, defining product features, and prioritizing the product backlog to ensure the development team delivers value to stakeholders. This role often serves as a bridge between business stakeholders and technical teams, helping to translate business needs into actionable development tasks. The Business Analyst Product Owner also ensures that the final product aligns with business goals and user needs.

What are the key skills and qualifications needed to thrive as a Business Analyst Product Owner?

To thrive as a Business Analyst Product Owner, you need strong analytical skills, business acumen, and a solid understanding of product lifecycle management, often supported by a degree in business, IT, or a related field. Familiarity with Agile methodologies, tools like JIRA or Trello, and certifications such as Certified Scrum Product Owner (CSPO) are highly beneficial. Exceptional communication, stakeholder management, and problem-solving abilities help you align diverse teams and prioritize product features effectively. These skills are crucial for ensuring that business objectives are translated into actionable deliverables, leading to successful product outcomes.

How does a Business Analyst Product Owner typically balance stakeholder expectations with technical team constraints?

As a Business Analyst Product Owner, you'll frequently act as a bridge between business stakeholders and technical teams. One common challenge is translating business requirements into actionable tasks while managing stakeholder priorities and the technical team's capacity. Regular communication, backlog grooming, and sprint planning are essential strategies to ensure alignment. You'll need to prioritize features based on business value and feasibility, often negotiating compromises and clarifying requirements to keep projects on track.

What is the difference between Business Analyst Product Owner vs Business Analyst?

AspectBusiness AnalystProduct Owner
CertificationsCBAP, CCBA, PMI-PBACSPO, PSPO, Certified Scrum Product Owner
Work EnvironmentBusiness analysis teams, project teams, consultingAgile teams, Scrum environments, product development
ResponsibilitiesGathering requirements, process analysis, documentationDefining product vision, backlog management, stakeholder communication
Industry UsageFinance, healthcare, IT, manufacturingSoftware development, tech startups, digital products

While both roles involve understanding business needs, Business Analysts focus on requirements gathering and process improvement, whereas Product Owners prioritize product vision and backlog management within Agile teams. The roles often overlap but serve different core functions in project and product development.

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Business Analyst Product Owner jobs near you
Infographic showing various Business Analyst Product Owner job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Senior Consultant - AI Product / Business Analyst - UX Engineering

Granby, CT • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

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

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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