Retail Banking Product Manager jobs in Downey, CA

The Data Product Owner for technologies and platforms supports the Head of Data & AI/ML Products in executing the data product strategy, vision, and roadmap.

• Build, prioritize, and maintain a clear, comprehensive product backlog for data solutions products.
• Collaborate with many roles across the business, from the executive team to the data engineers.
• Assist in Product and client roadmap planning.
• Plan product release contents and timelines, drive execution to maximize the value shipped.
• Voice of Customer to the data engineering team, ensuring developers understand what to work on and why it is important.
• Analyze client/business requirements. Analyze business requirements provided by the client, translate them into functional requirements and construct comprehensive user requirements documentation. Function as a liaison among all stakeholders to facilitate an understanding of requirements.
• Validate software designs meet requirements. Leverage domain and product knowledge to help stakeholders understand operational / business trade-offs associated with customizations. Communicate product dependencies, system limitations changes and impact to client environment to assist with strategic planning. Collaborate with project and development teams to ensure requirements are clear and prerequisites are met. Manage requirements approval process with stakeholders.
• Review and validate test cases. Review design and test documents to verify that the design will meet the defined requirements.
• Improve systems by studying current practices and designing modifications. Maintain awareness of Jenius Bank product roadmap, new features, products, or systems.
• Set goals for the data engineering team and lead the team through the agile process, including planning, refinement, review, and sprints.
• Serve as the product expert supporting internal stakeholders.
• Perform any specific domain or functional responsibilities (e.g., dashboard development).

• Education: Bachelor's degree in Computer Science, MIS, Engineering and/or Business Administration
• 5 years of experience, or equivalent combination.
• 3 years of experience as an agile product owner, leading development teams through planning, refinement, review, and sprint reviews, gathering and document requirements, researching / resolving issues and providing system production support.
• Dynamic, articulate, energetic and self-starter personality with demonstrated ability to translate product strategy and the product roadmap into executable development plans.
• Ability to interact professionally with executives, subject matter experts, business operations team members, technology professionals, software developers, and project managers.
• Results-driven individual with good business acumen; ability to understand the problem to be solved and deliver appropriate solutions that balances impact, effort, and alignment to objectives.
• Strong people skills to establish rapport, credibility, and influence with others across the company.
• Strong technical aptitude to learn, understand, and work with a variety of cloud and data technologies, APIs, databases, and visualization tools.
• Strong presentation and communication skills with an ability to simplify and clearly articulate concepts at all levels of the organization and across functions.
• Experience driving solutions from concept to delivery, working cross-functionally to define, design, develop, deliver, and iterate.
• Effective written, verbal, and listening communication skills.
• Self-Starter and able to work with minimum supervision and in the support of the data solutions team initiatives. Ability to coordinate people with a focus on deliverables.
• Experience with MS Office tools - Word, Excel, PowerPoint.
• Experience with Agile Project Management tools - VersionOne, JIRA, etc.

Preferred Skills:

• 3 years of Product Owner experience in an Agile Scrum environment
• 5 years' experience in performing Agile methodologies, including but not limited to:
• Experience working with databases, data-engineering / ELT / ETL
• Experience in understanding and documenting data mapping and data flow
• Familiarity with cloud environments, preferably Google Cloud Platform (GCP)