Sr AI Analyst

Ultimate Staffing Services; United States; Remote; USD 69,000 - 83,000; Full time

Job summary

Ultimate Staffing Services is seeking a Senior AI Analyst to translate advanced AI capabilities into tangible business outcomes. You will collaborate with Data Science, AI Engineering, Data Engineering, Product and business stakeholders to define problems and drive AI projects from discovery to production.

The role requires strong analytical skills, deep AI tooling experience, SQL, BI platforms, and data storytelling, and the ability to mentor others.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field.
• Master's degree in related field preferred.
• Minimum four years of analyst experience in AI, ML, DL, NLP, CV, or related technologies.
• Analytical skills and the ability to manage multiple priorities.
• Ability to work independently or in a team.
• Strong interpersonal and customer service skills.

Responsibilities

• Lead the analysis, design, and delivery of AI solutions in partnership with Data Scientists, AI Engineers, Data Engineers, and business teams; drive solutions from concept through user acceptance and production.
• Own end-to-end participation in the development lifecycle for AI initiatives, including discovery, requirements, acceptance criteria, validation, and post-launch evaluation.
• Serve as a senior bridge between technical and non-technical teams, facilitating decisions and ensuring AI solutions align with business strategy and operational realities.
• Partner with senior business leaders, Product, Data, and Technology stakeholders on AI roadmap shaping, prioritization, and risk-informed decision making.
• Identify, frame, and validate complex business problems and opportunities suitable for AI solutions, including cost-benefit, risk, and compliance considerations.
• Document business problems as structured requirements and user stories with rigorous acceptance criteria; coach others on requirements quality.
• Lead stakeholder reviews and design sessions; communicate tradeoffs and recommendations to senior audiences.
• Define and operate monitoring and evaluation approaches for AI solutions in production, including performance, quality, fairness, and reliability indicators; drive feedback into improvement and optimization.
• Act as a senior point of contact for production AI issues; partner with engineering and stakeholders to triage, communicate, and resolve.
• Operationalize responsible AI practices in delivery, including governance documentation, model risk awareness, data handling expectations, and alignment with regulatory and fair lending considerations applicable to mortgage and financial services.
• Apply mortgage and financial services domain understanding to evaluate AI use cases for business viability, regulatory exposure, and customer impact.
• Lead cross-functional initiatives and working groups without formal authority; coordinate dependencies, surface risks, and drive outcomes.
• Mentor and guide AI Analysts; contribute to onboarding, standards, templates, playbooks, and shared practices that scale the function.
• Document and communicate AI project results, tradeoffs, and recommendations to relevant stakeholders, including senior leadership.
• Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers, and staff.

Skills

Analytical skills

Prioritization

Independent work

Interpersonal skills

Customer service

Education

Bachelor's degree

Master's degree

Job description

Salary: USD50 - USD60 per hour

W-2 Contract Role

Duration - 6 Months

Location - US Remote

The Senior AI Analyst leads the translation of advanced artificial intelligence capabilities into tangible business outcomes for the organization. This role combines strong fluency with modern AI tooling and applied data analysis — including SQL, business intelligence platforms, and data storytelling — with senior-level requirements engineering, stakeholder leadership, and program execution. The Senior AI Analyst owns AI initiatives from problem framing through production delivery, partnering with Data Science, AI Engineering, Data Engineering, Product, and business stakeholders to ensure AI investments align with strategic goals and operate responsibly within regulatory and policy expectations. The role also acts as a senior contributor and mentor, supporting the development of less experienced AI Analysts and contributing to standards, frameworks, and shared practices that scale the function across the enterprise.

Essential Functions

• Lead the analysis, design, and delivery of AI solutions in partnership with Data Scientists, AI Engineers, Data Engineers, and business teams; drive solutions from concept through user acceptance and production.
• Own end-to-end participation in the development lifecycle for assigned AI initiatives, including discovery, requirements, acceptance criteria, validation, and post-launch evaluation.
• Serve as a senior bridge between technical and non-technical teams, facilitating decisions and ensuring AI solutions align with business strategy and operational realities.
• Partner with senior business leaders, Product, Data, and Technology stakeholders on AI roadmap shaping, prioritization, and risk-informed decision making.
• Identify, frame, and validate complex business problems and opportunities suitable for AI solutions, including cost-benefit, risk, and compliance considerations.
• Document business problems as structured requirements and user stories with rigorous acceptance criteria; coach others on requirements quality.
• Lead stakeholder reviews and design sessions; communicate tradeoffs and recommendations to senior audiences.
• Define and operate monitoring and evaluation approaches for AI solutions in production, including performance, quality, fairness, and reliability indicators; drive feedback into improvement and optimization.
• Act as a senior point of contact for production AI issues; partner with engineering and stakeholders to triage, communicate, and resolve.
• Operationalize responsible AI practices in delivery, including governance documentation, model risk awareness, data handling expectations, and alignment with regulatory and fair lending considerations applicable to mortgage and financial services.
• Apply mortgage and financial services domain understanding to evaluate AI use cases for business viability, regulatory exposure, and customer impact.
• Lead cross-functional initiatives and working groups without formal authority; coordinate dependencies, surface risks, and drive outcomes.
• Mentor and guide AI Analysts; contribute to onboarding, standards, templates, playbooks, and shared practices that scale the function.
• Document and communicate AI project results, tradeoffs, and recommendations to relevant stakeholders, including senior leadership.
• Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers, and staff.
• Provide data, reports, and information to management as needed.
• Stay current on developments in artificial intelligence and related fields; translate emerging capabilities into actionable opportunities for the organization.
• Perform other duties as assigned.

Qualifications

• Bachelors Degree directly related to the position or equivalent, required. Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Masters Degree directly related to the position or equivalent, preferred. Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Minimum four years experience of related analyst experience, artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or related technologies.
• Analytical skills
• Ability to organize and manage multiple priorities simultaneously.
• Ability to work well independently or within a team.
• Strong interpersonal and customer service skills

Additional Qualifications

• Experience working in regulated environments; financial services or mortgage industry experience preferred.
• Familiarity with model risk management, fair lending considerations, data governance, and AI governance practices.
• Experience leading AI program execution across cross-functional teams (Product, Data, Engineering, Compliance, Risk).