Senior Product Analyst

Pennymac • Westlake Village, CA

12d • $75,000 - $130,000 • Onsite

About The Position

Pennymac is (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. Job Overview An AI Product Analyst III takes a more proactive role in analyzing business needs and translating them into effective AI/technology solutions. You will lead specific workstreams or feature analyses, develop comprehensive requirements, facilitate stakeholder discussions, contribute to test strategy, and mentor junior analysts, operating with significant autonomy. A Typical Day The AI Product Analyst III will: Collaboratively work with business teams to identify high-potential AI use cases, assessing them for technical feasibility and data readiness before prioritizing them for the AI development team Act as the primary translation layer between Business Stakeholders and the AI development team, converting business goals into executable PoC specifications Independently conduct organizational analysis, identify improvement opportunities, and contribute to the measurement and prioritization of initiatives Proactively interact and coordinate with AI engineers, system developers, architects, and business leaders on complex application changes, development, and deployment strategies Gather, analyze, and document complex business requirements, engaging effectively with technology partners to design robust solutions Write, communicate, and refine detailed requirements and user stories using various methods (e.g., use cases, activity diagrams) ensuring clarity and alignment with business goals Identify key stakeholders, understand their influence, and manage communications effectively across functional areas for assigned projects or features Work effectively within Scrum or Kanban teams, often facilitating specific discussions or ceremonies Develop comprehensive acceptance criteria and PoC success metrics, defining specific thresholds to evaluate AI performance (e.g., precision, recall, accuracy) alongside business KPIs Lead or significantly contribute to Scrum ceremonies and retrospectives, driving improvements Develop and maintain high-quality system and user documentation Plan, coordinate, and oversee functional testing and user training for specific features or components Provide insightful verbal and written reports and analysis to management and stakeholders Create detailed workflow diagrams and technical documentation Collaborate closely with Tech Leads and UAT to establish clear definitions of "done" and ensure quality delivery. Support business and technical teams in defining AI specific success metrics (e.g., precision, recall, accuracy, user experience) relevant to the business goal, rather than just technical performance. Lead risk assessment efforts for specific project areas and develop mitigation plans Lead backlog grooming sessions for specific features or components, contributing to roadmap planning Assist the Product Owner in defining approaches to deliver product roadmap items Develop comprehensive test plans, oversee execution, and certify changes against finalized requirements Manage and collaborate with domain experts to create of high-quality "Ground Truth" datasets required for evaluation & model training Mentor and provide guidance to Product Analysts I and II Perform other related duties as required and assigned

Requirements

• 4 Year college degree (Bachelor) or equivalent work experience
• 4-6 years of relevant experience in business analysis, product analysis, Rapid Prototyping environments or related roles, with strong, demonstrated Agile experience
• In-depth knowledge of Agile methodologies paired with a solid understanding of core AI/ML concepts
• Excellent interpersonal, verbal, written communication, and presentation skills
• Excellent organizational skills and proven ability to manage complex tasks and priorities
• Strong teamwork mentality, including formal/informal mentorship of junior analysts
• Highly proficient in the G-Suite (Docs, Sheets, Slides, etc.)
• Strong technical data analysis proficiency, including SQL for querying and validation, eagerness to learn BI tools (Sigma, Tableau, PowerBI); basic exposure to Python is a strong plus.
• Expertise with JIRA, Confluence, or similar Agile management tools required
• Ability to simplify complex AI concepts for business leaders and articulate business nuances to technical data teams.
• Functional understanding of AI stack components like Prompt Engineering, Context Engineering, Vector Databases, AI Evaluation frameworks etc.
• Ability to navigate ambiguity and non-deterministic outcomes intrinsic to AI development using strong critical thinking and analytical skills.
• Proven ability to work independently with minimal supervision and lead specific initiatives
• Demonstrated ability to manage multiple complex projects/workstreams concurrently
• Proven track record of delivering high-quality work in a fast-paced environment
• Excellent critical thinking, problem-solving, analytical, and decision-making skills

Nice To Haves

• Solid Financial Services and mortgage industry experience strongly preferred
• Strong business acumen and ability to effectively interface with middle and senior management

Responsibilities

• Collaboratively work with business teams to identify high-potential AI use cases, assessing them for technical feasibility and data readiness before prioritizing them for the AI development team
• Act as the primary translation layer between Business Stakeholders and the AI development team, converting business goals into executable PoC specifications
• Independently conduct organizational analysis, identify improvement opportunities, and contribute to the measurement and prioritization of initiatives
• Proactively interact and coordinate with AI engineers, system developers, architects, and business leaders on complex application changes, development, and deployment strategies
• Gather, analyze, and document complex business requirements, engaging effectively with technology partners to design robust solutions
• Write, communicate, and refine detailed requirements and user stories using various methods (e.g., use cases, activity diagrams) ensuring clarity and alignment with business goals
• Identify key stakeholders, understand their influence, and manage communications effectively across functional areas for assigned projects or features
• Work effectively within Scrum or Kanban teams, often facilitating specific discussions or ceremonies
• Develop comprehensive acceptance criteria and PoC success metrics, defining specific thresholds to evaluate AI performance (e.g., precision, recall, accuracy) alongside business KPIs
• Lead or significantly contribute to Scrum ceremonies and retrospectives, driving improvements
• Develop and maintain high-quality system and user documentation
• Plan, coordinate, and oversee functional testing and user training for specific features or components
• Provide insightful verbal and written reports and analysis to management and stakeholders
• Create detailed workflow diagrams and technical documentation
• Collaborate closely with Tech Leads and UAT to establish clear definitions of "done" and ensure quality delivery.
• Support business and technical teams in defining AI specific success metrics (e.g., precision, recall, accuracy, user experience) relevant to the business goal, rather than just technical performance.
• Lead risk assessment efforts for specific project areas and develop mitigation plans
• Lead backlog grooming sessions for specific features or components, contributing to roadmap planning
• Assist the Product Owner in defining approaches to deliver product roadmap items
• Develop comprehensive test plans, oversee execution, and certify changes against finalized requirements
• Manage and collaborate with domain experts to create of high-quality "Ground Truth" datasets required for evaluation & model training
• Mentor and provide guidance to Product Analysts I and II
• Perform other related duties as required and assigned

Benefits

• Comprehensive Medical, Dental, and Vision
• Paid Time Off Programs including vacation, holidays, illness, and parental leave
• Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
• Retirement benefits, life insurance, 401k match, and tuition reimbursement
• Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees