Data Engineering - Data Quality & Governance - Salt Lake City - Associate

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.

Who We Are: Data Governance
The Data Governance team is a central, firmwide team that is responsible for defining and delivering data governance across the firm.

We are a global team. 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. Our users need to search and visualize the firm's data flows.

YOUR IMPACT:

The firm is investing significantly to enhance data quality across the firm, to enable increased data commercialization, improve client experience, and ensure high quality of data sent to other external and internal parties. We have a multi-year book of work, sponsored by the Board. This function is a key component of these deliverables.

• Help promote the data governance framework and drive adoption across all of the firm's divisions
• Partner with Divisional Data Offices to help them implement the policies and procedures for Data Governance
• Participate in working groups to improve data quality and ease of access to information
• Provide guidance and training on how to plan implementation of requirements set forth by the policy
• Work with the technical team responsible for developing the data governance platform and tool set
• Be instrumental in monitoring the compliance and progress of each division, and working to make sure the data governance program goals are accomplished
• Provide thought leadership to further develop processes, and firmwide roles and responsibilities, to help the firm meet the expectations of its data governance policy

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:

• Work with data consumers and producers to negotiate ownership of data
• Create lineage graphs to show how data moves from top of the flow (e.g. trading, sales and deal systems) to lower down the flow (e.g. client reporting, regulatory reporting, books and records)
• Help identify and execute data quality improvements in line with the data governance framework
• 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 to partner with data consumers and producers to drive remediation effort
• Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases
• Communicate progress to senior stakeholders and within the team

You will have the potential to:

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

EXPERIENCE REQUIRED:

Required Qualifications

• Bachelor's degree required
• Exposure to or knowledge of data warehousing, and the development of physical and logical models
• Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data.
• Experience working with a business team to develop functional requirements and translating those into technical requirements is important.
• Ability to work in a collaborative manner with stakeholders and drive consensus is essential.
• Proficient with spreadsheet/presentation/dashboard tools and ability to learn quickly and adapt to new changes and new challenges
• Effectively partner with divisions across the firm with a focus on end-client value
• Proactive and works well in a collaborative environment
• Strong written and verbal communication skills
• Good attention to detail and analytical thinking

Preferred Qualifications

• Helpful to have sufficient SQL knowledge to be able to run queries and participate in data analysis
• May have a software engineering background (not required)
• Experience of data governance or data manage