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Pennymac

Vice President - Product Owner

Full-TimeDeadline 10/8/27
$110k - $170k+ Bonus opportunities + Performance-based compensation + Stock-based incentives
Senior
Bachelor's
Carrollton, TX, USA+1 moreMore locations: Cary, NC, USA
In Person
ProductProduct Management

About the job

Requirements
  • A bachelor's degree in Computer Science, Information Systems, a related field, or equivalent work experience.
  • At least 5 years of experience applying Agile methodologies.
  • Proven success owning and delivering complex technology products or programs, preferably in an Agile environment.
  • Hands-on experience defining requirements for and delivering products powered by artificial intelligence, machine learning, or natural language processing, preferably in document automation, workflow optimization, or predictive analytics.
  • Deep understanding of product management best practices, business analysis, process improvement, and AI/ML product lifecycle principles, including model evaluation, training data requirements, and prompt engineering.
  • Proficiency with Agile/project management tools such as JIRA and Confluence, or similar tools; high proficiency in G-Suite.
  • Strong understanding of data management concepts and database technologies, a general understanding of software systems architecture, and experience with business intelligence tools.
  • Excellent interpersonal, verbal, written, and presentation skills, including experience interfacing effectively with stakeholders at all levels, including executive management.
  • Strong analytical, critical-thinking, problem-solving, and strategic decision-making skills, with sound judgment.
  • Exceptional organizational skills, attention to detail, and ability to deliver accurate results in a fast-paced environment.
  • Ability to collaborate effectively within and across teams, influence without authority, and work independently.
  • Strong business acumen and strategic thinking capabilities.
Responsibilities
  • Define and champion the product vision, strategy, and roadmap for the designated product area within the lending experience, aligning with overall business objectives.
  • Own the end-to-end product lifecycle, from ideation, requirements definition, and prioritization through development, launch, and iteration.
  • Identify and execute opportunities to use artificial intelligence, machine learning, and generative AI capabilities, such as intelligent document processing, automated underwriting support, customer service chatbots, and predictive risk scoring, to optimize the mortgage workflow.
  • Engage and collaborate with stakeholders across business units, technology teams, data science teams, and executive leadership to gather insights, align priorities, and ensure product success.
  • Translate business needs and market opportunities into clear goals, user stories, acceptance criteria, and functional requirements using methodologies such as use cases, process flows, and data analysis.
  • Own, maintain, and prioritize the product backlog, aligning it with strategic goals and maximizing value delivery within an Agile framework such as Scrum or Kanban.
  • Participate in and contribute to Agile ceremonies, including backlog grooming, sprint planning, and retrospectives, collaborating with development teams, technical leads, data scientists, and user acceptance testing teams.
  • Drive complex, high-profile product initiatives by coordinating across departments and interfacing with system developers, business subject matter experts, and project managers to ensure execution.
  • Serve as a domain expert for the end-to-end business functions related to the product; lead analysis to identify current capabilities and improvement opportunities, and define measurable outcomes.
  • Identify and drive implementation of operational efficiencies and new business processes related to the product.
  • Create and maintain product documentation, including requirements, process flows, and reports; communicate product strategy, progress, and outcomes to senior management and other stakeholders.
  • Develop strategies for risk mitigation and contingency planning related to product development, AI model performance, data governance, and product launch.
  • Collaborate on planning, oversight, and execution of testing phases to ensure product changes meet finalized requirements and quality standards.
  • Ensure product decisions align with broader strategic initiatives, including revenue opportunities or cost-saving measures identified by product and business leadership.
Desired Qualifications
  • Experience with BI tools, Snowflake, SQL Server, .NET, XML/EDI, and GTM/Google Analytics is a plus.
  • Experience in financial services, particularly the mortgage industry, is highly desirable.

About the company

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