Director Treasury, Liquidity and Data

Phaxis; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Phaxis in New York is seeking a strategic leader to drive Treasury, Liquidity, and Data initiatives. You will align technology roadmaps with regulatory requirements and business goals while guiding cross-functional teams across Treasury, Finance, Risk, Operations, and Technology.

You will partner with senior stakeholders to set data priorities, oversee enterprise data architecture, and advance Snowflake-based platforms to support liquidity management and regulatory reporting.

Responsibilities

• Define and drive strategic initiatives across Treasury, Liquidity, and Data, aligning technology roadmaps with business objectives and regulatory requirements.
• Lead and develop cross-functional teams, providing strategic direction across Treasury, Finance, Risk, Operations, and Technology.
• Partner with senior stakeholders to establish data and technology priorities and drive consensus on solutions.
• Lead enterprise data architecture initiatives across Treasury and Finance platforms with Data Architects and Engineering teams.
• Drive Snowflake-based data platform initiatives, including data modeling, integration, transformation, reporting, and analytics.
• Translate business objectives into detailed technical requirements, source-to-target mappings, data specifications, and user stories.
• Oversee enterprise data sourcing, integration, aggregation, and transformation with data quality and lineage controls.
• Guide technical teams in reviews of solution designs and architecture artifacts for alignment with standards and security controls.
• Oversee data analysis, testing, and validation using SQL and database outputs for accurate reporting.
• Apply Treasury and liquidity expertise to balance sheet management, cash positioning, funding, and regulatory reporting.
• Establish and strengthen data governance frameworks, lineage management, and audit-ready documentation.

Job description

• Define and drive strategic initiatives across Treasury, Liquidity, and Data, aligning technology roadmaps, data architecture strategy, and transformation priorities with business objectives and regulatory requirements.
• Lead and develop cross-functional teams, providing strategic direction, mentoring talent, managing priorities, and fostering collaboration across Treasury, Finance, Risk, Operations, and Technology.
• Partner with senior stakeholders to establish data and technology priorities, evaluate business needs, and drive consensus on solutions that improve liquidity management, financial reporting, and operational efficiency.
• Lead enterprise data architecture initiatives across Treasury and Finance platforms, collaborating with Data Architects and Engineering teams to define target-state architectures, data models, integration patterns, and scalable data solutions.
• Drive Snowflake-based data platform initiatives, including data modeling, data integration, data transformation, reporting, and analytics, ensuring solutions meet business, performance, and data quality requirements.
• Translate business objectives into detailed technical requirements, source-to-target mappings, data specifications, process flows, user stories, and acceptance criteria.
• Oversee enterprise data sourcing, integration, aggregation, and transformation across multiple platforms, ensuring data quality, lineage, reconciliation, and consistency across upstream and downstream systems.
• Guide technical teams in reviewing solution designs, data models, architecture artifacts, and implementation approaches to ensure alignment with enterprise architecture standards, security controls, and business needs.
• Oversee data analysis, testing, and validation using SQL and database outputs to investigate discrepancies, confirm business rules, and support accurate financial and regulatory reporting.
• Apply Treasury and liquidity expertise to initiatives involving balance sheet management, cash positioning, funding, liquidity reporting, reconciliations, and regulatory requirements.
• Establish and strengthen data governance frameworks, lineage management, data quality controls, and audit-ready documentation to improve regulatory compliance and reduce operational risk.