Senior Vice President, Data Leader Manager

New York, NY, United States办公方式未标注

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必备技能

AIAgileData GovernanceData QualityStakeholder Management产品产品管理

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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职位描述

We’re seeking a future team member in the role of Depositary Receipts (DR) and Global Payments & Trade (GP&T) Commercial Data Lead to join our Data Management team in New York, NY.This role will shape and execute the DR and GP&T commercial data agenda, combining strong governance and control discipline with a commercial, execution-oriented mandate. The role will lead strategic data workstreams, enable AI-ready and reusable data products, strengthen end-to-end data risk management, and translate data investments into measurable business value across client, product, and commercial priorities.In this role, you’ll make an impact in the following ways:Lead strategy execution across DR and GP&T commercial data priorities<ul style="list-style-type: disc;"><li class="xxmsonormal">Execute the DR and GP&T commercial data strategy in alignment with BNY’s enterprise data strategy and evolving Data & AI operating model.</li><li class="xxmsonormal">Steer priority data initiatives that support AI-enabled execution, platform delivery, governance, and risk-managed adoption.</li><li class="xxmsonormal">Translate business and commercial priorities into a clear execution roadmap, including prioritization, dependencies, milestones, and outcomes.</li><li class="xxmsonormal">Run governance and execution forums to oversee planning, escalation, OKRs, risk management, and decision-making.</li><li class="xxmsonormal">Lead process re-engineering efforts that improve data flows, reduce manual intervention, and support strategic goals.</li></ul>Drive commercial office and business enablement outcomes<ul style="list-style-type: disc;"><li class="xxmsonormal">Partner with commercial, product, client, and functional leaders to identify priority data needs that improve client insight, product management, commercialization, and business performance.</li><li class="xxmsonormal">Develop reusable and scalable data capabilities that support commercial use cases, management reporting, operational transparency, and opportunity identification.</li><li class="xxmsonormal">Connect data investments to measurable business outcomes, including adoption, efficiency, stronger controls, improved client outcomes, and value realization.</li><li class="xxmsonormal">Act as a connector across business, data, and technology teams to ensure commercial needs are reflected in strategy and delivery.</li></ul>Drive data projects, transformation, and AI/data product readiness<ul style="list-style-type: disc;"><li class="xxmsonormal">Sponsor or lead strategic data projects and initiatives across DR and GP&T commercial.</li><li class="xxmsonormal">Support enterprise remediation, cross-platform transformation, and modernization efforts where data readiness is critical.</li><li class="xxmsonormal">Partner with business and technology stakeholders to define requirements, clarify ownership, and deliver fit-for-purpose capabilities.</li><li class="xxmsonormal">Advance AI-ready data products and help scale data and AI responsibilities through a phased implementation approach.</li></ul>Strengthen data foundations, governance, and execution discipline<ul style="list-style-type: disc;"><li class="xxmsonormal">Define and prioritize critical data in partnership with governance and business leads, aligned to enterprise data management standards.</li><li class="xxmsonormal">Establish authoritative datasets, clear ownership, definitions, lineage, quality expectations, and remediation paths.</li><li class="xxmsonormal">Improve metadata, lineage, and rationalization practices to increase transparency, reuse, and control effectiveness.</li><li class="xxmsonormal">Own readiness and execution risk across the data user journey, coordinating resolution of dependencies, issues, and adoption barriers.</li><li class="xxmsonormal">Support completion of data maturity and readiness activities and track actions through closure.</li></ul>Establish a strong control and responsible data use framework<ul style="list-style-type: disc;"><li class="xxmsonormal">Partner with Data Quality, Data Privacy, Risk, and Controls leads to strengthen data quality, access, protection, and management practices.</li><li class="xxmsonormal">Support regulatory readiness and evidence control effectiveness across applicable data obligations.</li><li class="xxmsonormal">Enable safe and trusted reuse through strong provenance, permissible use, fit-for-purpose standards, and responsible sharing.</li><li class="xxmsonormal">Represent DR / GP&T commercial in enterprise and business data governance forums and contribute to broader data and AI governance discussions.</li></ul>Deliver measurable value<ul style="list-style-type: disc;"><li class="xxmsonormal">Track progress across governance, remediation, delivery, and business outcomes.</li><li class="xxmsonormal">Establish KPIs that demonstrate adoption, reuse, efficiency gains, control improvement, and commercial impact.</li><li class="xxmsonormal">Communicate progress, risks, tradeoffs, and value delivered to senior stakeholders.</li></ul> To be successful in this role, we’re seeking the following:<ul style="list-style-type: disc;"><li class="xxmsonormal">7-10+ years of experience or equivalent work experience required </li><li class="xxmsonormal">Proven experience leading data strategy from concept through execution with a strong track record of delivery.</li><li class="xxmsonormal">Significant experience in enterprise data programs, ideally within financial services, with a strong focus on supporting commercial priorities in Payments and Depositary Receipts, including sales, client coverage, product performance, and business growth.</li><li class="xxmsonormal">Strong understanding of data governance, metadata, lineage, data quality, controls, and regulatory expectations.</li><li class="xxmsonormal">Experience translating governance and remediation priorities into business enablement, reusable data products, and AI-readiness outcomes.</li><li class="xxmsonormal">Ability to align data investments to commercial goals, operating efficiency, control outcomes, and platform delivery.</li><li class="xxmsonormal">Proven success managing complex cross-functional programs across business, product, technology, risk, controls, privacy, and data stakeholders.</li><li class="xxmsonormal">Strong analytical, problem-solving, and execution skills, including experience with Agile delivery and prioritization.</li><li class="xxmsonormal">Experience with data governance tooling, data profiling, remediation, and quality improvement practices.</li><li class="xxmsonormal">Strong executive communication, stakeholder management, and people leadership skills, with the ability to influence across senior levels and operate strategically and hands-on.</li></ul>

🈯 翻译这份 JD · 红灯 0 / 黄灯 0 / 绿灯 0点开 ▾

没扫到常见信号词。这份 JD 直白得不常见——面试里照常确认节奏、汇报线和薪酬范围就好。

没扫到常见信号词——这份 JD 直白得不常见。照常确认节奏、汇报线和薪酬范围。

词典只标"常见信号"，不对公司下结论——红灯 = 面试里该当面确认的问题。想自己翻别的 JD：JD 翻译器 →

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公司 · Company

BNY

在招78个岗位

New York, NY, United States来源：ATS 官方

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准