Automation Senior Product Consultant (RPA)

$133,500 - $241,900/Yr

Bread Financial - Columbus, OH

Full-time - Senior

Columbus, OH

5,001-10,000 employees

Credit Intermediation and Related Activities

About the position

As part of the Enterprise Data Science and Analytics organization, you will have the opportunity to create and implement enterprise-wide data models to improve operational effectiveness and efficiency. The Senior Consultant position will be responsible for leading all of the Planning, Development, and Support functions for creating conceptual, logical and physical data models for the Enterprise Reporting team and other data and analytical assets. The Senior Consultant will create and implement data models that improve operational effectiveness and efficiency for Bread Financial. The Senior Consultant is expected to be a well-rounded expert, thoughtful, innovative, and technologically savvy with a keen interest in business transformation. This role will be relied upon to be a thought leader, to educate operational teams and train team members on emerging techniques for data modeling that will increase efficiencies in the reporting and analytical space.

Responsibilities

• Lead the data model product build/deployment/servicing for all new enterprise reporting and analytic needs.
• Support multiple centers of excellence including process automation, new tool adoption, interaction analysis, data governance and enterprise reporting.
• Establish and execute the framework for engaging enterprise partners to understand opportunities and level of effort in order to plan new data models.
• Present and gain support from various governance teams and IT teams to plan the work.
• Lead the vision for the reporting/analytics data models, manage and prioritize needs and perform market research.
• Work proactively & independently to address project requirements and articulate issues/challenges.
• Interface with Data governance teams to leverage central data repositories.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Design, build & maintain the Data Warehouse, Operational Data Stores & other data assets.
• Work with the Design and Build team to implement data strategies, build data flows and develop data models.
• Guide System Analysts, Developers, Data Stewards and others on project limitations and capabilities.
• Maintain existing data warehouses and design subject area wise data marts/cubes.
• Develop best practices for standard naming conventions and coding practices.
• Validate business data objects for accuracy and completeness.

Requirements

• Bachelor's degree or equivalent experience in Technology, Business Management, Finance, Accounting, Marketing, Analytics or equivalent work experience.
• Ten or more years of relevant work experience required.

Nice-to-haves

• Master's Degree or equivalent experience in Technology, Business Management, Finance, Accounting, Marketing, Analytics or equivalent work experience.
• Fifteen or more years of work experience preferred in Technology, Business Management, Finance, Accounting, Marketing, Analytics or equivalent work experience.

Benefits

• Medical, prescription drug, dental, vision, and other voluntary benefits.
• Six weeks of 100% paid parental leave for eligible parents.
• 401(k) plan with immediate enrollment.
• 11 paid holidays.
• Flexible Time Off (FTO) program.
• Paid Sick and Safe Time (PSST).
• Annual incentive bonus based on individual and company performance.