Vice President, Data Management & Quantitative Analysis

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<p><a name="_Hlk212471617"><span style="font-family: Arial, sans-serif;">At BNY, our culture allows us to run our company better and enables employees’ growth and success.&nbsp;</span></a><span style="font-family: Arial, sans-serif;"><span lang="EN-GB">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.</span></span></p><p><span style="font-family: Arial, sans-serif;"><span lang="EN-GB">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.</span></span></p><p style="margin-bottom: 0in; margin-top: 0in;">&nbsp;</p><p><span style="font-family: Arial, sans-serif;">We’re seeking a future team member for the role of&nbsp;<strong>Vice President – Data Governance &amp; Data Modeling&nbsp;</strong>to join<strong>&nbsp;</strong>our Asset Servicing team. This role is located in NYC, NY.</span></p><p style="margin-bottom: 0in; margin-top: 0in;">&nbsp;</p><p><span style="font-family: Arial, sans-serif;"><strong>In this role, you’ll make an impact in the following ways:&nbsp;&nbsp;</strong></span></p><p><span style="font-family: Arial, sans-serif;">We are seeking a Vice President – Data Governance &amp; Data Modeling to support enterprise data management and governance priorities. This role requires a candidate with a Computer Science background, strong hands-on data modeling experience, and practical knowledge of data governance within the finance industry.</span></p><p><span style="font-family: Arial, sans-serif;"><strong>Key Responsibilities</strong></span></p><ul style="list-style-type: disc;"><li><span style="font-family: Arial, sans-serif;">Design and maintain conceptual, logical, and physical data models.</span></li><li><span style="font-family: Arial, sans-serif;">Support data governance activities including data quality, lineage, metadata, and stewardship.</span></li><li><span style="font-family: Arial, sans-serif;">Partner with business and technology teams to define data standards and controls.</span></li><li><span style="font-family: Arial, sans-serif;">Help identify and remediate data issues to improve consistency, integrity, and usability.</span></li><li><span style="font-family: Arial, sans-serif;">Contribute to scalable data solutions that support reporting, analytics, and operational needs.</span></li></ul><p>&nbsp;</p><p><span style="font-family: Arial, sans-serif;"><strong>To be successful in this role, we’re seeking the following:&nbsp;&nbsp;</strong></span></p><ul style="list-style-type: disc;"><li style="color: rgb(34, 34, 34); margin-bottom: 0in; margin-top: 0in;"><span style="font-family: Arial, sans-serif;">Bachelor’s degree or equivalent combination of education and experience.</span></li><li><span style="font-family: Arial, sans-serif;">5+ years of experience in the finance industry.</span></li><li><span style="font-family: Arial, sans-serif;">Hands-on experience with data modeling and database programming (PLSQL)</span></li><li><span style="font-family: Arial, sans-serif;">Strong understanding of data governance, including data quality, lineage, metadata, and controls.</span></li><li><span style="font-family: Arial, sans-serif;">Familiarity with applied AI and its use in data, analytics, or governance processes.</span></li><li><span style="font-family: Arial, sans-serif;">Strong analytical, problem-solving, and communication skills.</span></li><li><span style="font-family: Arial, sans-serif;">Experience in financial services data domains such as client, product, transaction, or reference data.</span></li><li><span style="font-family: Arial, sans-serif;">Familiarity with data governance or metadata management tools.</span></li><li><span style="font-family: Arial, sans-serif;">Experience working in a regulated environment.</span></li></ul><p style="margin: 0in 0in 0in 0.5in;">&nbsp;</p>
<ul><li>Advanced degree in Computer Science or a related field, with a strong background in data management and exposure to AI solutions.</li><li>Minimum of 7 years of experience in data-centric roles, with a proven track record of leading complex data projects.</li><li>Demonstrated expertise in data architecture design, data modeling, and data engineering principles.</li><li>Strong leadership and communication skills, with the ability to influence and collaborate across diverse teams.</li><li>Experience working with large-scale data platforms and tools, including cloud-based solutions.</li><li>Proficiency in data visualization and storytelling techniques to communicate complex data insights.</li><li>Familiarity with regulatory requirements and data privacy laws, ensuring compliance in data management practices.</li><li>Ability to stay updated with industry trends and emerging technologies, driving innovation within the organization.</li><li>Excellent problem-solving and analytical skills, with a data-driven mindset.</li><li>A passion for data-centric solutions and a commitment to driving business value through data-informed decision-making.</li></ul>
<ul><li>Lead the design and development of data solution architectures to support AI initiatives.</li><li>Collaborate with data scientists to groom user stories, ensuring alignment with business needs.</li><li>Oversee the implementation and maintenance of data management systems, including data governance and quality assurance processes.</li><li>Develop and execute data-centric strategies to drive business growth and efficiency.</li><li>Foster a data-driven culture by promoting best practices and providing guidance to teams across the organization.</li><li>Stay updated with industry trends and emerging technologies in data management and AI.</li><li>Mentor and guide a high-performing team of data professionals, fostering a collaborative and innovative work environment.</li><li>Ensure data security and privacy compliance, adhering to regulatory standards and internal policies.</li><li>Partner with business stakeholders to understand their data requirements and translate them into actionable plans.</li></ul>

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准