About the position
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world's most innovative financial organizations. We are looking for a Senior Product Associate to join our Data and AI Product team and support the delivery of data-driven solutions that power transformation across the Home Lending business. As a Senior Product Associate in Home Lending Transformation, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.
Responsibilities
- Partner with Product Managers to identify new product opportunities through user research and market discovery.
- Plan and assess the implications of new product features on the overall product experience.
- Analyze, track, and evaluate product metrics, ensuring alignment with time, cost, and quality targets throughout the product development life cycle.
- Write requirements, epics, and user stories to support product development.
- Support the development and delivery of data products that power AI and analytics in Home Lending.
- Define product requirements and coordinate the delivery of foundational data assets and pipelines.
- Collaborate with data owners, engineers, and analysts to prioritize key datasets for ingestion, transformation, and consumption.
- Participate in stakeholder meetings to review progress, gather feedback, and ensure alignment.
- Measure and report on key metrics related to product adoption and business impact.
Requirements
- 3+ years of experience in product management or a relevant domain area.
- Proficient knowledge of the product development life cycle.
- Experience in product life cycle activities, including discovery and requirements definition.
- Developing knowledge of data analytics and data literacy.
- Familiarity with structured data ingestion, transformation, and consumption for reporting or machine learning.
- Basic understanding of cloud data platforms like AWS (e.g., S3, Glue, Athena, Lake Formation).
- Bachelor's degree required.
Nice-to-haves
- Domain knowledge in Home Lending Mortgage Origination.
- Developing knowledge of cloud-based technologies.
- Understanding of the data life cycle.
