AWM, Marcus, Data Strategy, Associate, Dallas (Richardson)

Wealth Management

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design.

Marcus by Goldman Sachs

The firm’s direct-to-consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a start-up with more than 150 years of experience. Today, we serve millions of customers across multiple products, leveraging innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity.

JOB SUMMARY:

We are seeking a highly analytical and detail-oriented Data Strategy, Associate with 3-4+ years of experience to join our dynamic team. In this role, you will help shape, implement and optimize our data strategy to drive business performance, innovation and informed decision-making. You will work cross-functionally to support data initiatives, manage data governance and leverage analytics tools to provide valuable insights for the business.

JOB DUTIES:

· Collaborate with the data strategy, data engineering, analytics and product teams to define and implement key data initiatives, analytics projects and define measurement frameworks aligned with business goals and objectives

· Support the migration of data assets and processes to cloud platforms like Snowflake and AWS, ensuring security, scalability ad seamless adoption

· Work with business functions and cross-divisional stakeholders (e.g., technology, operations, tech risk and vendor management) to drive and track resolution of regulatory, audit, and senior management commitments, assisting with problem-solving to remove roadblocks where required.

· Analyze and interpret large datasets to provide insights and recommendations that support business strategy across pricing, marketing and customer experience (website, app and contact center)

· Assist in developing data governance practices, including data quality control, data stewardship and compliance with regulations

· Develop processes and tools to identify and monitor data accuracy and model performance.

· Build and maintain dashboards and reports for key stakeholders to monitor data trends and business metrics holistically

· Utilize SQL, Python and other analytical tools to extract, process and model data to fulfill business use case requirements

· Work with cross-functional teams, including data engineering, IT, finance, marketing and third party vendors to ensure data consistency and integrity

· Participate in predictive modeling, machine learning (ML) and artificial intelligence (AI) initiatives to enhance business intelligence and forecasting capabilities

· Monitor industry trends and advancements in data technologies and make recommendations for adoption

MINIMUM EDUCATION REQUIREMENTS/DEGREE AND FIELD:

Bachelor’s degree (U.S. or foreign equivalent) in Data Science, Computer Science, Economics, Business, Applied Math, or a related field.

MINIMUM YEARS EXPERIENCE REQUIRED:

3-4+ years of experience in in data strategy, analytics, data engineering or related roles; consumer banking preferred

QUALIFICATIONS:

Prior experience must include 3+ years of experience with the following:

· Proficiency in SQL, Python and data visualization tools (i.e. Tableau, Power BI)

· Familiarity with cloud platforms (i.e. Snowflake, AWS) and data management best practices

· Prior experience in data governance, data quality and data privacy compliance

· Strong analytical, problem-solving skills with a strategic mindset and attention to detail

· Ability to work in fast-paced environment, managing multiple priorities and stakeholders

· Excellent communication and presentation skills with the ability to translate complex data into actionable insights (i.e. understood by non-technical users) that are aligned to business objectives and commercial impact

PREFERRED QUALIFICATIONS:

· Prior experience developing data driven strategies and analytics solutions in a banking or retail business setting

· Experience with predictive modeling, machine learning (ML), artificial intelligence (AI) or marketing mix modeling (MMM)

· Knowledge of data governance frameworks and practices (i.e. GDPR, CCPA)

· Competitive spirit with the ability to lead, motivate and build relationships with internal stakeholders

· Strong project management skills; self-driven; ability to work independently and cross-functionally

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 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

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