Risk Engineer - Data Governance Officer - Associate

Location(s) US-TX-Dallas
Job ID
2020-64598
Schedule Type
Full Time
Level
Associate
Function(s)
Software Engineer
Region
Americas
Division
Engineering
Business Unit
Risk Engineering
Employment Type
Employee

MORE ABOUT THIS JOB

Risk Data Governance

The firm is investing significantly to enhance data quality and data classification (i.e., data governance) across the firm. We have a multi-year book of work to do so which is sponsored by the Board. Help promote the data quality and data classification frameworks and their adoption within the Risk Division to help the division achieve compliance with the newly created policies and procedures for data quality and classification. Provide guidance and training on how to plan implementation of requirements set forth by the policies.  Work with the technical team responsible for developing the data governance platform and tool set.  Participate in working groups to develop programs to improve data governance.   Be instrumental in monitoring the compliance and progress within the Risk division, and work 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 Risk Division meet the expectations of its data governance policies.

RESPONSIBILITIES AND QUALIFICATIONS

HOW YOU WILL FULFILL YOUR POTENTIAL
• As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives
• Help define new solutions that will improve data governance
• Help define and source metrics that help us measure data management maturity from varying perspectives – committee, data office, data governance.
• Liaise across the division to help them adopt the governance framework and utilize governance tools:
• Inform/train them how to implement the policies and monitor data quality/classification within their areas
• Help with team planning, program reporting and communication
• Help drive the evolution and maturity of governance
• Grow your business understanding of data
• Develop business analysis and relationship management skills
• Contribute to setting a course for the future of data management and usage at Goldman Sachs
• Ability to effectively communicate and present results highlighting the broader strategic impact

 

SKILLS AND EXPERIENCE WE ARE LOOKING FOR
• Bachelor’s degree required

• 2+ years of professional experience
• Knowledge of business process modelling
• Proficient with spreadsheet/presentation/dashboard tools and willingness to learn new tools and procedures
• Extremely proactive and work well in a collaborative environment
• Exceptional attention to detail and analytical thinking
• Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data and data quality improvements.
• Ability to work in a collaborative manner with stakeholders and drive consensus is essential.
• Experience working with a business team to develop functional requirements and translating those into technical requirements is important.
• Can partner effectively with all divisions in the firm, with a focus on end-client value and meeting mutual objectives
• In terms of partnering with engineering – understand technology; challenge engineering thinking to think through all use cases
• Has a depth of product understanding, including the ability to conceptualize good/usable products and employ a structured framework to evaluate features; makes definitive product decisions that are strategic.
• Leadership and communication: able to influence. Confidence and assertiveness in advocating for customers and key stakeholders.
• Ideally has a good understanding of data usage in one or more business areas and the problems and pitfalls that we face today.
• Ability to clearly communicate within the team and with Stakeholders and to flex style to differing levels.
• Organizational Awareness - Resourceful and knows how to cultivate relationships
• Ability to work with a variety of different stakeholders and cross-functional teams, from new joiners to senior leaders, globally
• Planning and Prioritization - Demonstrates an ability to set objectives and organize work appropriately to meet and exceed goals. Is also comfortable identifying and generating opportunities to drive additional value for the organization
• Critical and Analytical Thinking - Ability to demonstrate sound judgement and exercise a thoughtful approach to decision making

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. The role can be tailored to an individual who wants to do more development work, though we are not seeking a full time developer.
• Any Data Governance experience at a Financial Institution would be a plus
• Having developed an effective training and testing strategy is helpful.

 

 

ABOUT GOLDMAN SACHS

HOW YOU WILL FULFILL YOUR POTENTIAL
• As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives
• Help define new solutions that will improve data governance
• Help define and source metrics that help us measure data management maturity from varying perspectives – committee, data office, data governance.
• Liaise across the division to help them adopt the governance framework and utilize governance tools:
• Inform/train them how to implement the policies and monitor data quality/classification within their areas
• Help with team planning, program reporting and communication
• Help drive the evolution and maturity of governance
• Grow your business understanding of data
• Develop business analysis and relationship management skills
• Contribute to setting a course for the future of data management and usage at Goldman Sachs
• Ability to effectively communicate and present results highlighting the broader strategic impact

 

SKILLS AND EXPERIENCE WE ARE LOOKING FOR
• Bachelor’s degree required
• Excellent communication skills
• Knowledge of business process modelling
• Proficient with spreadsheet/presentation/dashboard tools and willingness to learn new tools and procedures
• Extremely proactive and work well in a collaborative environment
• Exceptional attention to detail and analytical thinking
• Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data and data quality improvements.
• Ability to work in a collaborative manner with stakeholders and drive consensus is essential.
• Experience working with a business team to develop functional requirements and translating those into technical requirements is important.
• Can partner effectively with all divisions in the firm, with a focus on end-client value and meeting mutual objectives
• In terms of partnering with engineering – understand technology; challenge engineering thinking to think through all use cases
• Has a depth of product understanding, including the ability to conceptualize good/usable products and employ a structured framework to evaluate features; makes definitive product decisions that are strategic.
• Leadership and communication: able to influence. Confidence and assertiveness in advocating for customers and key stakeholders.
• Ideally has a good understanding of data usage in one or more business areas and the problems and pitfalls that we face today.
• Ability to clearly communicate within the team and with Stakeholders and to flex style to differing levels.
• Organizational Awareness - Resourceful and knows how to cultivate relationships
• Ability to work with a variety of different stakeholders and cross-functional teams, from new joiners to senior leaders, globally
• Planning and Prioritization - Demonstrates an ability to set objectives and organize work appropriately to meet and exceed goals. Is also comfortable identifying and generating opportunities to drive additional value for the organization
• Critical and Analytical Thinking - Ability to demonstrate sound judgement and exercise a thoughtful approach to decision making

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. The role can be tailored to an individual who wants to do more development work, though we are not seeking a full time developer.
• Any Data Governance experience at a Financial Institution would be a plus
• Having developed an effective training and testing strategy is helpful.