Data Product Owner (Hybrid)

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Join Us in Creating a Revolutionary Digital Bank

Are you ready to be part of something big? We are on a mission to build a 100% digital bank that truly prioritizes the best interests of its customers. Our close-knit team of experienced financial services professionals is passionate, fun-loving, and committed to revolutionizing banking from the ground up, focusing on technology infrastructure, modern marketing, and unparalleled customer experiences.

Competitive Compensation and Benefits

The anticipated salary range for this role is between $96,000 and $143,000. The specific salary offered will depend on your qualifications, experience, and relevant market data at the time of hiring. Additionally, this role may be eligible for an annual discretionary incentive award. Beyond cash compensation, SMBC offers a robust benefits package to our employees.

The Best of Start-Up Culture with Financial Stability

At our core, we operate with the agility and innovation of a start-up. However, we also benefit from the stability and capital of being part of the SMBC Group (Sumitomo Mitsui Banking Corporation). As Japan's second-largest bank and the 12th largest in the world, SMBC has operations in over forty countries and is committed to disrupting the US banking market with innovative products.

Join Our Exciting Journey

We are seeking proven marketing leaders to drive our national launch. With ambitious growth plans and the 'patient capital' needed to execute a multi-year strategy, this is a unique opportunity to be part of a groundbreaking concept in banking.

Summary

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.

Principal Duties and Responsibilities

  • Build, prioritize, and maintain a clear, comprehensive product backlog for data solutions products.
  • Collaborate with various roles across the business, from the executive team to data engineers.
  • Assist in product and client roadmap planning.
  • Plan product release contents and timelines, maximizing value shipped.
  • Act as the Voice of Customer to the data engineering team, ensuring developers understand priorities.
  • Analyze client/business requirements and translate them into functional requirements.
  • Validate software designs to ensure they meet requirements.
  • Collaborate with project and development teams to ensure clear requirements and prerequisites.
  • Review and validate test cases to verify design requirements.
  • Improve systems by studying current practices and designing modifications.
  • Set goals for the data engineering team and lead through the agile process.
  • Serve as the product expert supporting internal stakeholders.
  • Perform specific domain or functional responsibilities as needed.

Position Specifications

Education: Bachelor's degree in Computer Science, MIS, Engineering, or Business Administration.

Experience and Skills:

  • 5+ years of relevant experience or an equivalent combination.
  • 3+ years as an agile product owner, leading development teams through planning and execution.
  • Dynamic, articulate, and a self-starter with the ability to translate product strategy into development plans.
  • Ability to interact professionally with executives, subject matter experts, and various team members.
  • Strong business acumen and problem-solving skills.
  • Excellent people skills to establish rapport and credibility across the company.
  • Technical aptitude with cloud and data technologies, APIs, databases, and visualization tools.
  • Strong presentation and communication skills, simplifying concepts for all levels of the organization.
  • Experience driving solutions from concept to delivery.
  • Proficiency with MS Office tools (Word, Excel, PowerPoint) and Agile Project Management tools (VersionOne, JIRA).

Preferred Skills

  • 3+ years of Product Owner experience in an Agile Scrum environment.
  • 5 years' experience in Agile methodologies.
  • Experience with databases, data engineering (ELT/ETL), and understanding data mapping and data flow.
  • Familiarity with cloud environments, preferably Google Cloud Platform (GCP).

Role Objectives

Demonstrate expertise in business intelligence applications, data processing