招聘

Director, AI / Machine Learning Data Engineer
Manchester, Greater Manchester, United Kingdom
·
On-site
·
Full-time
·
6d ago
Director, AI / Machine Learning Data Engineering
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 #Life AtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Director, AI / Machine Learning Data Engineering to join our Trustee & Depositary (T&D) Engineering team. This role is located in Manchester, UK.
In this role, you’ll make an impact in the following ways:
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Act as IT Lead within a POD, owning end-to-end technical delivery and engineering excellence to drive T&D Modernisation initiatives.
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Provide technical and people leadership for a T&D Engineering group, building and leading high-performing AI / ML and data engineering teams.
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Design, build, and scale enterprise-grade AI, machine learning, and data platforms, including data pipelines and MLOps capabilities, fully integrated with enterprise master data systems.
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Define and influence broad-based technology strategy across large IT domains, embedding an AI-first and agile engineering mindset while ensuring scalability, resilience, security, and risk mitigation.
To be successful in this role, we’re seeking the following:
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Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
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Significant experience in software engineering, with deep expertise in AI, machine learning, and data engineering.
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Proven experience leading large-scale backend, data, or AI platforms in complex enterprise environments; financial services experience is a plus.
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Extensive experience with multi-platform development environments, modern cloud architectures, data pipelines, and integration with enterprise systems.
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Demonstrated ability to understand business impact and interdependencies of strategic IT decisions and to influence senior stakeholders effectively.
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People leadership experience, including leading senior engineers and technical leads in agile delivery models, mentoring talent, and fostering a strong engineering culture.
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
Here’s a few of our recent awards:
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune, 2025
“Most Just Companies”, Just Capital and CNBC, 2025
Our Benefits and Rewards:
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.
BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
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关于BNY Mellon

BNY Mellon
PublicBNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.
10,001+
员工数
New York City
总部位置
$40B
企业估值
评价
4.0
31条评价
工作生活平衡
3.4
薪酬
4.8
企业文化
3.9
职业发展
4.1
管理层
3.5
78%
推荐给朋友
优点
Prestigious brand and networking opportunities
Excellent compensation and bonus structure
Exposure to complex financial systems
缺点
Work-life balance can be difficult
Legacy technology in some areas
High-pressure environment with strict deadlines
薪资范围
28个数据点
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Data Scientist L2
0份报告
$74,866
年薪总额
基本工资
$29,946
股票
$37,433
奖金
$7,487
$52,406
$97,326
面试经验
8次面试
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
HR/Recruiter Screen
4
Technical Interview
5
Behavioral Interview
6
Final Round/Superday
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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