Data Science Product Owner

Compensation

: $143,310.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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**Job Description:**
Organization Overview:
The WC Analytics team is part of Wholesale Credit Analytics and Information Strategy responsible for leveraging our data to deliver information products and automated solutions that generate revenue, reduce expenses and increase operational efficiency.
Job Overview
The Data Science Product Owner is an integral part of the WC Data Science Agile Team responsible for the production of descriptive, predictive, and prescriptive analytics that provide actionable insights for stakeholders across Wholesale Credit and Global Banking. This role will work with a cross-functional team of subject-matter experts, data engineers, developers, and data scientists to prioritize, design and deliver analytics solutions.
Core Responsibilities include:
+ Manages routines to drive the execution on data science objectives in scope, leveraging strong interpersonal, organizational, and presentation skills
+ Distills features from DS Product Management into actionable stories based upon feedback gathered from business users, and works directly with technology teams to bring them to life through an Agile development framework
+ Manages product backlog prioritization, communicating needs and capacity of the Agile Team as necessary to DS Product Management
+ Demonstrates business acumen through the ability to distill user feedback into meaningful information products; Works with subject-matter experts within the business to develop products
+ Demonstrates technical acumen through the ability to understand WC data architecture, data science capabilities, and technology development at a high-level, for the purpose of understanding needs and dependencies
Required Skills:
+ Bachelors Degree required
+ Experience with underwriting, credit products, relationship management, capital management, or banking finance
+ Experience working with data, data visualization tools to support analysis
+ Experience with technical systems, applications, testing and/or discovering issues
+ Very strong communication ability to articulate complex problems as well as confidence in communicating with senior level stakeholders
+ Highly organized, action oriented, creative thinker with strong analytical skills
+ Strong business and financial acumen
+ Experience working in an agile environment and working in application lifecycle management tools (Jira or Rally) a plus
**Posting Date** : 10/31/2019
**Location** :
New York, NY, BANK OF AMERICA TOWER, ONE BRYANT PARK,
Charlotte, NC, ONE BANK OF AMERICA CENTER, 150 N COLLEGE ST,
- United States
**Travel** : Yes, 5% of the time
**Full / Part-time** : Full time
**Hours Per Week** : 40
**Shift** : 1st shift
**Assistance for Applicants with Disabilities**
Bank of America is committed to ensuring that our online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please visit the Applicants with Disabilities page at ankofamerica.com/us/applicants-with-disabilities .
**Diversity & Inclusion**
At Bank of America, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
**Frequently Asked Questions**
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Associated topics: data analytic, data center, data integrity, data manager, data warehouse, database, database administrator, erp, mongo database administrator, sybase * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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