• Manage and develop two or more specialized teams of managers and professional individual contributors responsible for complex, higher-risk data productization and enablement outcomes

• Define and lead a multi-year data transformation strategy for payments, sequencing the work into practical phases that deliver measurable value while adapting to changing business priorities and technology

• Establish the vision, roadmap, and implementation strategy for data products, platforms, and utility services across multiple data domains

• Build the trusted, governed, and well-documented data foundationrequiredfor artificial intelligence models, agents, analytics, and other production use cases

• Modernize the data estate by connecting traditional enterprise data warehouses, relational databases, and data integration capabilities with modern cloud data platforms such as Snowflake and Databricks

• Identifydata enablement opportunities across multiple domains and platforms while ensuring alignment with enterprise data governance, risk, and control standards

• Partner with product, technology, operations, data, risk, and control leaders across payments, liquidity, and digital currencies to translate business priorities into a concrete, fundable data roadmap

• Align senior leaders and diverse stakeholder groups behind a single plan, build the case for change, resolve complex issues, and sustain commitment through multi-year delivery

• Make strategic decisions, manage dependencies, andestablishpolicies and procedures needed to deliver complex, higher-risk data outcomes

• Communicate the value, capabilities, use cases, and delivery progress of the data agenda to senior leadership and cross-functional partners

• Manage people and financial resources to ensure commitments are met and aligned with the strategicobjectivesof the business

• Develop leaders and cultivate a culture of accountability, collaboration, continuous learning, and talent development

• Position the data strategy to help the business respond to advances in artificial intelligence and innovation in payments and digital currencies quickly, responsibly, and safely

• Proventrack recordleading large-scale data transformation programs end to end, from strategy and business case through delivery, adoption, and measurable outcomes, in complex and highly regulated environments

• Experience building and executing complex multi-year plans, including sequencing work, managing dependencies, adapting to shifting priorities, and delivering value at each stage

• Demonstrated ability to align senior leaders and diverse stakeholder groups behind a shared agenda across business, product, technology, operations, data, risk, and control functions

• Deep knowledge of data technologies across traditional and modern environments, including enterprise data warehouses, relational databases, ETL and data integration tooling, Snowflake, and Databricks

• Working knowledge of the data foundationsrequiredfor artificial intelligence in production, including data quality, lineage, metadata, governance, documentation, monitoring, and the data requirements of models and agents

• Experience defining and delivering data products, platform capabilities, and reusable data services for multiple business and technical consumers

• Experience in payments, liquidity, transaction banking, digital currencies, or digital assets, including familiarity with the data generated by these businesses

• Ability to translate a complex technical agenda into clear business outcomes, investment priorities, delivery decisions, and risk considerations

• Ability toestablishcredibility and influence effectively with senior executives, engineering leaders, data professionals, and control partners

• Management consulting experience at a leading firm, or comparable experience leading enterprise transformation within a large institution

• Demonstrated success developing leaders, managing multidisciplinary teams, and creating accountability across a complex delivery organization

• Operate as a transformational leader by setting an ambitious but executable agenda, building the coalition behind it, and holding the organization accountable for delivery

• Bring a growth mindset and develop it in others as artificial intelligence, data technology, and the payments landscape continue to evolve

• Stay current on developments in artificial intelligence, payments, liquidity, and digital currencies, and translate relevant developments into implications for the data strategy

• Partner closely with technology, risk, data governance, and control functions so that delivery speed and the bank's standards advance together

• Maintain clear ownership of the data roadmap, investment priorities, delivery dependencies, and measurable outcomes across the transformation

***Depending on applicant volume this posting could be removed early***