Sr. Data Engineering Manager (REMOTE USA ONLY)

Company Description

Experian is the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity

We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to Work For. In addition, for the last five years we’ve been name in the top 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

The Sr. Data Engineering Manager is responsible for supporting data manipulation and reporting, quality assurance, documentation and communication of internal/client projects.  Applies knowledge of data science concepts and techniques to help develop and validate data attributes/models for business data acquisition, aggregation, and dissemination.   This position will provide direction and supervise a team of Data Engineers.

• Independently lead and execute analytical projects based on consumer credit attributes or underlying credit data.  
• Expert client consulting experience, providing dedicated client support and acting as the liaison between the product delivery team and clients. 
• Understand the client’s existing product usage and use cases to develop and recommend a strategic plan based on consumer credit attributes and credit data to support clients’ key objectives. 
• Ability to gather detailed requirements from the clients, navigate and agree on the product options and create a custom project plan along with timeline and level of effort. 
• Experience in leading teams and willingness to drive the team to accomplish project goals.  
• Interpret data specifications, extract, formulate and manipulate data to create the structured samples (attributes and models) necessary to address business requirement
• Test and validate the structured samples to ensure the highest quality and efficiency
• Develop alternative/creative solutions that better utilize Experian and client data and produce new insights
• Manage internal/external projects to meet project commitments within agreed schedule with assistance
• Manage multiple tasks simultaneously without compromising the quality of the final deliverables.
• Communicate in a clear and professional way with client and/or other departments/divisions within Experian to help ensure resolution of client questions, capturing of client requirements and implementation of project work
• Document projects worked on and technical manuals for tools developed
• Plans, staffs, reviews and organizes subordinate supervisor or staff assignments for a team within a department.  Provides leadership, coaching, guidance, training and staff development.
• Responsible for staff salary planning, personnel actions, and performance management process. 

Qualifications

Must be able to perform the following with minimal guidance:

• Conduct exploratory analysis using in statistical packages (SAS or R) or other languages
• Perform advanced statistical analysis using statistical packages or other languages desired
• Excellent communication skills, including proficiency in writing reports and presenting technical work
• Strong personal planning and time management skills and interpersonal skills
• Develop processes in Excel VBA
• Write complex SQL statements against terabyte+ size datasets
• Works well in a distributed team environment
• Feature engineering experience
• Good leadership skills

Nice to have/preferred Experience:

• (Risk) Modeling experience
• Advanced knowledge of consumer credit industry, data and attributes
• A willingness to train and mentor the team on the consulting aspect of Attribute products
• AWS S3, PySpark

Must haves:

• Hold an advance degree in Data Science, Computer Science, Engineering, Economics or Statistics
• 10+ years of experience performing analytical work based on large relational databases, using at least 2 languages such as Python, SAS, SQL, C, C++ or Java
• 3-5 years supervisory experience preferred 

Additional Information

Why choose us?

Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programs are designed so you can c