Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description:
What You’ll Do
We are building a new Data Stewardship team within Discover Cards’ portfolio value stream (PVS) to further elevate our capabilities in marketing campaign management, our processes and underlaying data. It takes a holistic view for the transition across dimensions of people, process, technology, and data to address end to end business problems and enable unparalleled experiences for Discover customers. You will work in a complex and challenging stakeholder domain with cross functional teams. This role focuses on data – the foundational value driver in Discover’s customer marketing ecosystem.
As we fast forward and adopt for the digital marketing platform capabilities and drive for business process optimization, the role of the Business Data Steward on the team will continue to accelerate the importance of data stewardship within data governance where data quality strategies are becoming increasingly apparent. We are recognizing the intrinsic value of our data assets in our marketing and business process capabilities. Business data stewardship is emerging as a pivotal role in managing and enhancing this value.
As a Business Data Steward, you will be responsible for understanding data governance needs, enforcing data management standards and supporting data management initiatives throughout the entire data ecosystem. You will partner with business, technology and data analytics teams on the design through implementation to ensure solutions meet business user stories. Additionally, you will also actively manage and escalate risk and customer-impacting issues within the day-to-day role to management. As a data subject-matter-expert, you must understand both technical and business process context of the data.
How You’ll Do It
Implements enterprise data efforts and operations, including data lifecycle management, which establishes and enforces how long data is retained.
Supports data management initiatives and enforces data management standards, procedures, policies and data classification.
Ensures data changes are managed with appropriate impact analysis and communications to potentially impacted areas.
Attends Data Steward meetings as a Key stakeholder in Enterprise Data Governance.
Participates in the oversight process, ensuring accuracy between multiple reporting systems, which includes loading and reviewing statistical data.
Coordinate with upstream and downstream teams utilizing the data and when necessary, identify correct business SMEs to engage in discussions.
Executes controls and maintains relevant data/system/business process documentation and policy updates.
Partners with the technology and analytics teams to complete business initiatives.
Bridges the gap between business and analytics environments and enriches data in the analytics environment with business process definition.
Reports progress and statuses to management. Oversees timely support and resolution as needed.
Qualifications You’ll Need
The Basics
Bachelor’s degree in Analytics, Business, Computer Science, Engineering, Information Technology, Mathematics, Statistics or related
8+ years of experience in Data management and solutions in a business role, or related field
In lieu of a Bachelor’s degree, 10+ years of:
Solid understanding of Data Management concepts including metadata management, Data Quality, Data governance, and Data Modeling.
Experience gathering data requirements and performing complex data analysis is required.
Experience driving adoption of data capabilities across technology groups and enabling data literacy required.
Ability to engage effectively with technical and analytics partners, understand business data requirements and translate to actionable solutions is key.
Bonus Points If You Have
10+ years of Information management and data analysis experience
Experience gathering data user stories
Agile/Scrum proficiency
Experience in marketing analytics for financial products and services, and digital platforms
Application Deadline:
The application window for this position is anticipated to close on Jan-21-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.
Compensation:
The base pay for this position generally ranges between $88,500.00 to $149,300.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.
Benefits:
We also offer a range of benefits and programs based on eligibility. These benefits include:
Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision, & Health Savings Account
STD, Life, LTD and AD&D
Recognition Program
Education Assistance
Commuter Benefits
Family Support Programs
Employee Stock Purchase Plan
Learn more at MyDiscoverBenefits.com .
What are you waiting for? Apply today!
All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.
Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) (https://urldefense.com/v3/__https:/www.eeoc.gov/poster__;!!MjXRb4uW6x5k!ABIVgRw0WsyX2wfQC-pKxK3V9X4h1NBUGgjO7EM8PTvp5MNRgpEuVC_jVk0fcn_ISAZjmwkbLuUIrj8mFedCBkyz$)