Product Owner II (DBX – Batch, Data & Migration)

M&T Bank•Buffalo, NY

About The Position

The Technology Product Owner owns technical capabilities supporting the Digital Banking Experience (DBX), with a primary focus on data migration, customer conversion, batch processing, data integration, and related platform capabilities. The role manages and prioritizes the technology backlog, refines requirements, accepts stories, manages dependencies, and plans delivery. It requires a stronger technical background than a traditional business-focused Product Owner. Reporting within Technology, the role works closely with Product Owners, Business stakeholders, Engineering, Architecture, Data, Testing, and Operations. Business and Product partners define business needs, business rules, customer outcomes, and the overall rationale and desired outcomes. The Technology Product Owner translates this direction into an actionable technology backlog and drives the technical capabilities required to deliver those outcomes. The role supports data migration and conversion by defining source-to-target requirements, mappings, transformations, validation, reconciliation, customer and account conversion strategies, migration waves, and related data requirements. It also develops an understanding of the DBX technology ecosystem and helps ensure platform capabilities are operationally ready, supportable, monitored, and equipped with exception handling and recovery procedures.

Requirements

Bachelor’s degree and a minimum of 6 years’ business, analytical, technical, and/or product experience; or, in lieu of a degree, a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ business, analytical, technical, and/or product experience.
Product Ownership experience managing and prioritizing complex technology backlogs, translating business needs into technical requirements, and partnering closely with Product, Engineering, Architecture, Data, and Testing teams.
Strong data migration and conversion experience.
Technical fluency across SQL, relational databases, APIs, data models, integration patterns, and system dependencies.
Agile delivery experience, including backlog refinement, sprint planning, and PI or large-scale planning.

Nice To Haves

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data/Analytics, Business, or a related discipline, or equivalent professional experience.
Experience supporting core or digital banking conversions, customer/account migrations, or other large-scale data conversions.
Exposure to banking platforms, customer and account data, entitlements, data reconciliation, and regulatory/data-control environments.
Product Owner or Agile certification such as CSPO, SAFe POPM, or equivalent.
Experience with enterprise Agile delivery and tools such as Jira and Confluence.
Experience supporting major technology modernization or platform transformation initiatives.
Experience operating in complex environments involving multiple applications, vendors, and technology teams.

Responsibilities

Own and prioritize the technology backlog for assigned DBX capabilities.
Translate Product and Business objectives into features, user stories, acceptance criteria, and technical requirements.
Partner with Product Owners, Engineering, and Architecture to align priorities, solution approaches, dependencies, risks, and tradeoffs.
Lead backlog refinement and participate in sprint planning, PI planning, demos, retrospectives, and other Agile ceremonies.
Ensure delivered capabilities meet functional and technical expectations.
Coordinate cross-team and upstream/downstream dependencies, escalating gaps, risks, and decisions as needed.
Partner with Engineering and Data teams to define source-to-target requirements, mappings, transformations, validation, and reconciliation.
Support customer and account conversion strategies, migration waves, seed files, batch files, and related data requirements.
Understand conversion scenarios across Consumer, Business, and Wealth customer populations.
Support mock conversions, migration readiness, and resolution of data quality issues and exceptions.
Define reconciliation and validation criteria to ensure migration completeness and accuracy.
Translate business conversion requirements into executable technical backlog items.
Develop a strong understanding of the DBX technology ecosystem, data flows, APIs, batch processing, file-based integrations, and system dependencies.
Partner with Engineering on platform enhancements, technical enablers, defects, and technical debt.
Assess upstream and downstream impacts of technology changes.
Facilitate cross-functional technical discussions across Product, Engineering, Architecture, Data, Testing, and Operations.
Identify ownership gaps across teams or systems and drive resolution.
Ensure capabilities are designed with production support and operational readiness in mind.
Support runbooks for migration, batch, and production processes.
Ensure exception handling, reconciliation, monitoring, recovery, and support requirements are incorporated into the backlog.
Partner with Engineering, SRE/Production Support, Testing, and Operations on production readiness.
Ensure conversion plans include clear execution, validation, exception management, and rollback procedures.