New York, New York; Charlotte, North Carolina
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The Data and AI team within Global Payment Solutions at Bank of America is looking for a Data Science Product Owner (DSPO) that is a self-starter who can translate complex concepts and generate actionable insights.
Who we are:
The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We act as data science consultants to our business partners and clients across the organization, building end-to-end production level solutions at scale. At the core, the team is a collection of individuals that welcomes challenging problems, because that is where the learning begins. For many of our projects, we begin by hosting “think tank” like sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data and AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build.
What we’re building:
The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GTS business. Some examples include:
- A revolutionary approach leveraging advanced statistical methods to identify the best product a client would likely want to hear about to increase their treasury efficiency
- A Generative AI powered “chatbot-like” search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions
- A comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banks
- Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients
Who we’re looking for:
If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.
You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties.
Responsibilities:
We are a small team working towards massive goals. You will be responsible for wearing many hats:
- Data Scientist – Deep expertise in data science frameworks and methodologies
- Product Owner – Translate core business needs and drive requirements and design; Validate and test to ensure solution meets requirement/design
- Project Manager – Drive a project through to completion end to end; coordinate and manage all necessary teams / leads to drive forward progress while managing project and solution risks
- Product Manager – Work and communicate with stakeholders to understand core business needs
Additional Responsibilities:
- Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
- You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS
- As the DSPO, you will be responsible for the success and improvement of the tools that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"
- You will collect information on the Data Science team’s requirements through surveys, conversations, feedback sessions, and automated reporting
- You will work closely with Data Scientists to set technical strategy and prioritize development work
- Drive projects through to completion end to end following core principles of product development lifecycle and project management methodologies
Required Qualifications:
- Minimum of product management or consulting experience working in a highly technical environment
- Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work
- Solid understanding of data structures and algorithms with substantial Python experience
- Understanding of how to frame a data science problem and a high level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)
- Take feedback and transform it into strategic action.
Desired Qualifications:
- Data visualization tools experience, such as D3.js, GGplot, and Matplotlib
- Graduate level degree in a quantitative field such as, computer science, math, and physics
Minimum Education Requirements: Bachelor’s degree in a quantitative field such as: computer science, math, and physics with coursework in data science or equivalent work experience.
Skills:
- Verbal Communication Skills
- Technical Design Skills
- Documentation Skills
- Critical Thinking Skills
Shift: 1st shift (United States of America)
Hours Per Week: 40
Pay Transparency details:
US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay range $125,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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