Multifamily Product Analysis - Professional

Freddie Mac•McLean, VA

About The Position

The Product Analyst will join Freddie Mac’s Multifamily Technology team and support product delivery and business transformation for the Multifamily function within the Capital Markets business line. The role partners with the Product Owner, delivery teams, business stakeholders, and internal and external customers to understand needs, clarify scope, translate needs into well-defined requirements, and measure outcomes. The position takes a business-process-first approach: understanding current- and future-state workflows, decomposing processes into capabilities and functional components, and supporting process reengineering and requirements definition. It contributes to drafting and refining features and user stories, including acceptance criteria, and supports backlog refinement so work is clearly defined, ready for estimation, and aligned with intended outcomes. The Product Analyst also helps connect business strategy to execution through analysis, sizing inputs, and visibility into outcomes. The role incorporates customer pain points, usability findings, and market or industry insights into design and delivery. It collaborates across UX, Change Management, Development, Architecture, Data, and other teams; communicates status, insights, and risks; and escalates issues with recommended options. Development and deployment support may include process redesign, Day 1 readiness, risk and controls documentation, user-story testing, and UAT support. The role also helps identify and document potential AI use cases while considering governance, risk, and control expectations.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent experience.
2–4 years of experience in product analysis, business analysis, product operations, or a related role supporting technology delivery.
Experience in the mortgage, real estate, or broader financial services industry.
Proficiency with the Atlassian software suite, including Jira and Confluence, or similar agile management tools.
Experience working with agile delivery teams, such as Scrum or Kanban, and supporting backlog refinement, business process documentation, and requirements management.
Strong analytical, strategic, and problem-solving skills, including the ability to use data and stakeholder input to inform recommendations.
Strong written and verbal communication skills, including the ability to facilitate working sessions and clearly document outcomes.
Ability to operate in ambiguous environments and manage multiple concurrent priorities.

Responsibilities

Partner with the Product Owner, stakeholders, and internal and external customers to understand needs and operational workflows and translate them into clear requirements and insights.
Document product goals, customer needs, desired outcomes, scope, decisions, and business processes.
Understand current- and future-state processes and decompose processes into capabilities and functional components to support process reengineering and requirements definition.
Draft and refine features and user stories, including acceptance criteria, in collaboration with Product and delivery teams.
Support backlog refinement by ensuring items are clearly defined, ready for estimation, and aligned with intended outcomes.
Provide analysis, sizing inputs, and outcome visibility to connect business strategy with delivery execution.
Incorporate user pain points, usability findings, and market or industry insights into customer-driven design.
Coordinate with UX, Change Management, Development, Architecture, Data, and other horizontal teams to support delivery and rollout.
Communicate status, insights, and risks; escalate issues with recommended options when needed.
Support development and deployment activities, including process redesign, Day 1 readiness, risk and controls documentation, testing user stories, and UAT.
Help identify and document AI use cases for decision-making, automation, customer experience, and operational efficiency while considering governance, risk, and controls.
Advocate for customer needs, validate assumptions through feedback loops, and help ensure delivered capabilities solve real problems.
Support compliance with applicable policies, procedures, privacy and security obligations, and acceptable-use requirements.