Data Products Partner [On-Site]

Regions•Atlanta, GA

12d•$105,431 - $138,830•Onsite

About The Position

At Regions, the Data Products Partner defines and oversees the development of internal products/solutions that leverage Big Data and advanced analytics to increase the profitability and efficiency for a specific business unit(s) in the Bank. Manages the complete lifecycle of these internal data products from inception, development, assessment of success, and maintenance.

Requirements

Bachelor’s degree in Business, Computer Science, Information Systems, Finance, Statistics, or related field and eight (8) years of experience in related data work and interfacing with business stakeholders
Or High School Diploma or GED and twelve (12) years of experience in related data work and interfacing with business stakeholders
Experience working through the Software Development Life Cycle (SDLC) of software development and liaising with Business and Technology/Data teams leading development of Analytical Software solutions following Agile methodology
Product Management or related experience

Nice To Haves

Master’s degree or higher in Computer Science, Engineering, Statistics or any other related quantitative field
Financial Services experience
Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance
Ability to research, analyze data, and derive facts
Ability to work in a team environment when applicable
Advanced ability to build executive level presentations
Demonstrates willingness to take ownership and drive accountability working with all levels of the organization
Proficient in Microsoft Office (Excel, Word, PowerPoint, Outlook, etc.)
Strong verbal, written communication, and organizational skills

Responsibilities

Works with a business unit to identify areas where Big Data and advanced analytics solutions can be leveraged to solve specific business problems
Prioritizes product pipeline and create roadmap of products to be built
Develops business requirements that govern the development of the proposed solution
Identifies applicable data assets required to build the solution
Identifies features to build predictive models that are part of the solution
Participates in the build versus buy decision making process and vendor selection where applicable
Creates success criteria and measurement approach to assess the impact of deployed Data Products
Works with decision scientists to ensure model development strategy is consistent with goals and assisting in the validation of predictive models
Coordinates with Big Data architects to create necessary infrastructure and technology stacks to enable solution development
Oversees the solution acceptance testing process
Handles high priority strategic initiatives and determines the best products to be utilized
Interacts with executive level management
May participate in industry conferences related to solving financial services problems using advanced analytics/Big Data
Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices