Engineering-L2-New York-Associate-Project Management

Goldman Sachs; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking an AI Program Manager for The Core AI Project in New York. You will drive day-to-day execution of enterprise AI initiatives, turning pilots into scalable solutions, and reporting to senior leadership.

The role blends technical AI expertise with program management, requiring strong organization and a startup-like mindset, to transform business technology and boost productivity across the firm.

Qualifications

• Bachelor's degree or higher in a quantitative field or clear impact in AI.
• Exceptional communication and change management skills; ability to translate technical concepts for non-technical stakeholders.
• Experience designing educational curricula or corporate training programs.
• Strong analytical mindset; ability to translate datasets into clear, actionable visuals.
• Proficiency in project management methodologies (Agile, Scrum) and collaboration tools.

Responsibilities

• Synthesize AI initiatives, pilot outcomes, and trends into senior-level presentations and strategic roadmaps.
• Facilitate governance sessions with cross-functional stakeholders to align initiatives and use cases.
• Identify and prioritize high-value AI use cases and workflow automation opportunities.
• Design, execute, and oversee 8- to 12-week AI pilot programs with defined KPIs.
• Collaborate with divisions to identify AI applications driving efficiency and improvements.
• Work with Goldman Sachs Engineering teams to deploy scalable AI solutions.
• Stay abreast of AI and GenAI advancements and apply them strategically.

Job description

Join The Core AI Project team at Goldman Sachs and play a pivotal role in transforming the business through AI Enablement. You will get to work on one of the firm’s priorities, and enable teams to leverage AI solutions, to accelerate and transform business technology as well as enhancing the productivity of our people.

As a member of The Core AI Project team, you will be driving day-to-day execution of enterprise AI initiatives while maintaining visibility with senior leadership. This role combines technical AI expertise with detailed program management, delivering measurable business outcomes in a dynamic, rapidly evolving environment. The ideal candidate is AI-native, passionate about emerging technologies, extremely organized, and seeking meaningful impact in a startup-like setting.

This exciting opportunity will see you collaborating with key stakeholders from these divisions to improve our operational efficiency and productivity. The Core AI Project team operates horizontally across the Core divisions, with a mandate to strategically manage programming related to developer and non-developer productivity, as well as AI Initiative governance.

Key Responsibilities

• Synthesize AI initiatives, pilot outcomes, and technological trends into high-impact executive presentations and strategic roadmaps, enabling senior leadership to make rapid, well-informed investment and scaling decisions.
• Facilitate regular governance sessions with key cross-functional stakeholders to review, align on, and initiatives and use cases.
• Partner with business units to identify, assess, and prioritize high-value AI use cases and workflow automation opportunities.
• Design, execute, and oversee structured AI pilot programs (e.g., 8-to-12-week proof-of-concepts) with clearly defined success metrics and KPIs.
• Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements.
• Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications.
• Stay abreast of the latest advancements in AI and GenAI technologies and proactively identify opportunities to incorporate these innovations into our AI strategies.

Qualifications, Experience, And Attributes

• Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field, or clear impact demonstrated in the field of Artificial Intelligence.
• • Exceptional communication and change management skills, with the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience designing educational curricula or corporate training programs.
  • Possesses a strong analytical mindset with the ability to translate datasets into clear, actionable visual narratives.
  • Proficiency in project management methodologies (Agile, Scrum) and collaboration tools.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions.
• A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges.

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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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.