Asset & Wealth Management - Software Engineering Manager - Vice President - Birmingham
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (43.0%).
Occupation Type
IT managers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£55,000
(£28.21 per hour)
Occupation rate applies
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Description
Job Description
Who We Look For:
Goldman Sachs Engineers are innovators and problem-solvers, building solutions for various divisions. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a high-caliber, hands-on Data Engineering Manager to lead our Wealth Data Engineering team in Birmingham. In this pivotal role, you will be responsible for the architectural vision and operational excellence of our data platforms. You will not only manage a team of talented engineers but also "raise the bar" by contributing to code, designing scalable cloud architectures, and ensuring our data ecosystem is fully optimized for Advanced Analytics and Artificial Intelligence (AI).
As the local lead, you will bridge the gap between complex financial data requirements and cutting-edge engineering solutions, ensuring our wealth management services are powered by reliable, real-time, and AI-ready data.
Key Responsibilities
Who We Look For:
Goldman Sachs Engineers are innovators and problem-solvers, building solutions for various divisions. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a high-caliber, hands-on Data Engineering Manager to lead our Wealth Data Engineering team in Birmingham. In this pivotal role, you will be responsible for the architectural vision and operational excellence of our data platforms. You will not only manage a team of talented engineers but also "raise the bar" by contributing to code, designing scalable cloud architectures, and ensuring our data ecosystem is fully optimized for Advanced Analytics and Artificial Intelligence (AI).
As the local lead, you will bridge the gap between complex financial data requirements and cutting-edge engineering solutions, ensuring our wealth management services are powered by reliable, real-time, and AI-ready data.
Key Responsibilities
- Team Leadership: Lead and mentor a local team of data engineers in Birmingham. Foster a culture of technical excellence, continuous learning, and agile delivery.
Technical Requirements
- Experience: 10+ years in Data Engineering, with at least 2+ years in a formal leadership or management role.
- Data Platform Mastery: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services. Good understanding of open-source table formats, specifically Apache Iceberg, to enable interoperability, schema evolution, and high-performance analytics across multiple engines.
- Mentorship: Proven track record of upskilling junior and senior engineers.
- Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
- Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and develo
pment opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.