Note: The job is a remote job and is open to candidates in USA. Suna Solutions is seeking a Senior AI Analyst to translate artificial intelligence capabilities into business outcomes. The role leads AI initiatives from problem identification and requirements gathering through production delivery and post-launch evaluation, while partnering with cross-functional teams, supporting responsible AI governance, and mentoring analysts.
Responsibilities
- Lead the analysis, design, and delivery of AI solutions in partnership with Data Scientists, AI Engineers, Data Engineers, and business teams
- Drive AI solutions from concept through user acceptance, production deployment, and post-launch evaluation
- Own end-to-end participation in the development lifecycle for assigned AI initiatives, including discovery, requirements, acceptance criteria, validation, and post-launch assessment
- Serve as a senior bridge between technical and non-technical teams, facilitating decisions and ensuring AI solutions align with business strategy and operational requirements
- Partner with senior business leaders, Product, Data, and Technology stakeholders on AI roadmap development, 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
- Translate business problems into structured requirements, user stories, and rigorous acceptance criteria
- Coach other analysts on requirements quality and effective business analysis practices
- Lead stakeholder reviews, discovery sessions, workshops, and solution design discussions
- Communicate technical concepts, tradeoffs, risks, and recommendations to senior audiences
- Define and operate monitoring and evaluation approaches for AI solutions in production, including performance, quality, fairness, and reliability indicators
- Analyze production feedback and drive improvements and optimization of AI solutions
- Act as a senior point of contact for production AI issues and partner with engineering and business stakeholders to triage, communicate, and resolve issues
- Operationalize responsible AI practices, including governance documentation, model risk awareness, data handling expectations, and applicable regulatory and fair lending considerations
- Apply mortgage and financial services domain knowledge 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, identify risks, resolve issues, and drive initiatives toward successful outcomes
- Mentor and guide AI Analysts and contribute to onboarding materials, standards, templates, playbooks, and shared practices
- Document and communicate AI project results, tradeoffs, risks, and recommendations to stakeholders and senior leadership
- Build strong working relationships with senior leaders, functional managers, technical teams, and business stakeholders
- Provide data, reports, analysis, and other information to management as needed
- Stay current on developments in artificial intelligence and related technologies and translate emerging capabilities into actionable business opportunities
- Perform other duties as assigned
Skills
- • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent experience required
- • Minimum of 4 years of related experience in business/data analysis, artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or related technologies
- • Experience leading AI initiatives from requirements and discovery through implementation and production
- • Experience working with cross-functional teams including Product, Data, Engineering, Risk, Compliance, and business stakeholders
- • Experience working in regulated environments
- • Familiarity with model risk management, fair lending considerations, data governance, and AI governance practices
- • Experience leading AI program execution across cross-functional teams
- • Strong understanding of business analysis, requirements gathering, and stakeholder management
- • Experience with SQL, business intelligence tools, data analysis, and data storytelling
- • Ability to communicate complex technical and AI concepts to both technical and non-technical audiences
- • Strong analytical and problem-solving skills
- • Ability to organize and manage multiple priorities simultaneously
- • Ability to work effectively both independently and as part of a team
- • Strong interpersonal and stakeholder management skills
- • Excellent verbal and written communication skills
- • Strong requirements engineering and documentation skills
- • Ability to lead cross-functional initiatives without direct authority
- • Strong attention to detail and organizational skills
- • Ability to work effectively in a fast-paced, metrics-driven environment
- • Excellent verbal and written communication skills required
- • Highly organized and detail-oriented with the ability to manage multiple priorities
- • Proficiency with Microsoft Office Suite, including Word and Excel
- • Familiarity with Wiki platforms, collaborative cloud-based applications, and third-party software tools
- • Commitment to organizational values and professional standards
- • Strong customer service orientation with proactive attention to stakeholders
- • Demonstrated integrity and sound judgment
- • Respectful and collaborative approach to working with others
- • Commitment to continuous learning and professional development
- • Focus on delivering high-quality results and continuous improvement
- • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field preferred
- • Financial services or mortgage industry experience preferred
Benefits
- Remote work
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