Senior Associate, Data Quality

BNY Mellon • Lake Mary, FL

20h

About The Position

Senior Associate, Data Quality At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Associate, Data Quality to join our Wealth Data team. This role is located in Lake Mary, FL. In this role, you’ll make an impact in the following ways: Analyze, reconcile, and troubleshoot inbound and outbound data files; monitor data quality metrics and drive timely remediation for client and provider issues. Lead coordination across multiple data providers for file migrations, onboarding/offboarding, and format changes, including plans, milestones, and risk controls. Conduct gap and root‑cause analyses for missing, delayed, or inaccurate data; track issues through closure using enterprise CRM system and manage provider SLAs with clear escalation and impact documentation. Develop and maintain SOPs, playbooks, dashboards, and issue registers to improve data controls, transparency, and operational efficiency. Lead the exploration and application of AI solutions to streamline operations and improve data quality, delivering measurable efficiency gains. Partner cross‑functionally (data management, technology, client support, and external providers) to gather requirements, align dependencies, support cutovers, and recommend process improvements and automation. Develop and operationalize AI use cases that increase process efficiency while establishing controls and metrics to improve data quality.

Requirements

• Bachelor's degree or the equivalent combination of education and experience.
• 3-5 years of experience, preferably in securities or financial services.
• Demonstrated experience with data reconciliation, impact assessment, and structured root-cause analysis.
• Proficiency in data manipulation and visualization tools such as SQL, Excel, Tableau, or Power BI.
• Experience working in CRM systems such as ServiceNow.
• Familiarity with data quality controls, SLAs, operational dashboards, and issue management practices.
• Strong process orientation with a focus on standardization, documentation, and continuous improvement.
• Excellent communication skills with the ability to translate technical findings into clear business actions for clients, data providers and stakeholders.

Nice To Haves

• Advanced degree in quantitative analysis preferred.

Responsibilities

• Analyze, reconcile, and troubleshoot inbound and outbound data files
• Monitor data quality metrics and drive timely remediation for client and provider issues
• Lead coordination across multiple data providers for file migrations, onboarding/offboarding, and format changes, including plans, milestones, and risk controls
• Conduct gap and root‑cause analyses for missing, delayed, or inaccurate data
• Track issues through closure using enterprise CRM system and manage provider SLAs with clear escalation and impact documentation
• Develop and maintain SOPs, playbooks, dashboards, and issue registers to improve data controls, transparency, and operational efficiency
• Lead the exploration and application of AI solutions to streamline operations and improve data quality, delivering measurable efficiency gains
• Partner cross‑functionally (data management, technology, client support, and external providers) to gather requirements, align dependencies, support cutovers, and recommend process improvements and automation
• Develop and operationalize AI use cases that increase process efficiency while establishing controls and metrics to improve data quality

Benefits

• BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
• We provide access to flexible global resources and tools for your life’s journey.
• Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level