Engineering-L2-Bengaluru-Analyst-Data Governance

What We Do

At Goldman Sachs, our Engineers don't just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.

Data Engineering – Data Governance

The Data Governance Office is a central firmwide data office that is responsible for defining and driving data governance across the firm. It aims to:

• Bring better definition, transparency and understanding of the data produced and consumed across different areas of the firm
• Create and maintain the policies, standards, and procedures for data governance
• Bring consistency to the way data is modeled and represented across the firm
• Set expectations about data quality and drive a process to improve it
• Create visibility of findings, failures and violations of data governance
• Report on the state of governance framework processes and supporting data platform and tooling

The role is in the divisional data office for the Engineering Division which sit within the firmwide Data Governance Office. We are a global team, implementing the Data Governance policy.  We need to show where data enters the firm and how it is transformed and reported and what data quality controls exist for critical datasets.  We use this meta-data for regulatory requirements and to gain insights into our data - aiming to cut duplication, improve quality and respond faster to new business opportunities.

YOUR Impact:

• You will be part of the Data Governance Office, helping stakeholders to implement Data Governance Office guidelines, processes and policies across Engineering division. 
• We work with divisional stakeholders, to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights – aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements.
• You will use leading cutting edge and GS developed technology for visualizing data, workflows and lineage
• The firm is investing in a significant initiative to enhance data quality across the firm, to enable increased data commercialization, improved client experience, and satisfy regulatory requirements.  This function is a key component of this initiative.
• Supporting the critical Adoption and Implementation function within the Data Governance Office 
• Pro-actively engage with other members of Data Governance and Data Engineering to drive innovation to manage and improve data quality.

FULFILL YOUR POTENTIAL

As a member of the team, you will gain satisfaction though adding value and contributing to the team's initiatives. You will:

• Drive adoption of the firmwide data governance framework in the division.
• Manage initiatives to improve the quality of data governance. 
• Interface and coordinate with project team(s) to define objectives, develop approach, create detailed schedules, provide status updates and prepare deliverables for projects.
• Document Data Lineage from source to reporting and ensure effective controls are in place from data entry to report production. 
• Work with data consumers and producers to negotiate ownership of data
• Develop communication and reference materials that enable data consumers and producers to implement the data governance policy and standard
• Define and create appropriate data validation controls 
• Provide data quality analytics that enable data consumers and producers to drive remediation efforts
• Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
• Build consensus across senior stakeholders
• Communicate progress to senior stakeholders and within the team

You will have the potential to:

• Grow your understanding of regulators, data, and the underlying businesses 
• Develop business, data analysis and relationship management skills
• Contribute to progressing the data quality and  governance strategy at Goldman Sachs

 Why join the team? 

• Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients.
• Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. 

BASIC QUALIFICATION

• Bachelor's degree in Engineering or Maths
• 1-3 years' relevant experience
• Extremely proactive and works well in a collaborative environment
• Excellent attention to detail, intellectual curiosity and organizational skills - ability to manage a constantly evolving inflow of projects and priorities
• Ability to effectively communicate and present results highlighting the broader strategic impact
• Strong written and verbal communication and presentation skills and ability to work effectively with others
• Team player - ability to maintain mutual support within a high-profile team
• Relationship management: effectively partner with divisions across the firm with a focus on end-client value
• Analytical, problem solver - ability to articulate thoughts clearly and influence
• Ability to work as part of a global team
• Highly organized 
• Project management skills

PREFERRED QUALIFICATIONS

• Statistics
• Data Science
• Programming skills such as Python
• Experience with relational database and SQL
• Prior experience in financial services industry in Regulatory Reporting
• Ideally has a good understanding of data usage in one or more business areas 
• Experience with using visualization software (Tableau, Qlikview or equivalent)

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

ABOUT GOLDMAN SACHS

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 development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at  

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

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.

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