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Data Solutions Lead

Job Description

Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries We serve more than 50 million consumers and small businesses through more than 5,600 bank branches, 18,700 ATMs, credit cards, mortgage offices and online and mobile banking as well as through relationships with auto dealerships.
 
Within Chase, Consumer Banking provides great products and an outstanding customer experience at over 5,600 branches and 18,700 ATMs in 23 states, as well as online and over the phone. As a Chase employee, you’ll be part of a company that makes a real difference every day for our customers, our communities and ourselves. With a focus on customer service, you’ll put others first, do what’s right and create solutions that make lives better. We invite you to build your career on our strong foundation and help shape what’s next – for you and for us.
 
The Data Management & Analytics (DM&A) organization is responsible for building the strategic, analytic data warehouse for Chase Financial Services and managing the Integrated Consumer Data Warehouse (ICDW) , Consumer Data Hub (Info1) , and legacy Enterprise Data Warehouse (EDW) data warehouses.  DM&A also provides direction for large data warehouses across the firm. 
 
The Data Management & Analytics (DM&A) organization is responsible for building the strategic, analytic data warehouse for Chase Financial Services and managing the Integrated Consumer Data Warehouse and Consumer Data Hub data warehouses.  Additionally, DM&A is also providing direction and building Data ecosystem.
 
As part of this team, this person will lead data architects to align cross-functional and cross-LOB projects to Target State Data Solutions.  Will lead LOB-wide projects from Data Solution delivery. Works with business leaders to create Conceptual and Logical/ Physical Architectures that align business needs with Target State Data Solutions.  Making sure that data models and artifacts are meeting all the requirements.  Ability to adopt new technologies as solutions involves Hadoop and other big data technologies.
 
Responsibilities for the Data Solution Lead include the following:
  • Logical and Physical modeling for Data warehouse.
  • Semantic layer modeling.  Dimensional modeling to support Data Warehouse and Marts
  • Hands on experience with modeling tool such as (but not limited to) ERWIN.
  • Proactively engage with the project stake-holders and understand requirements.
  • Leading data modeling discussions with Business in JAD sessions and actively participate in data mapping exercise.
  • Guiding technical decisions to support long term strategy around core consumer data model.
  • Provide leadership to junior team members and offshore modelers.
  • Perform data analysis on source systems, data warehouse subject areas, and reporting data structures.
  • Establish standards around flexibility of the data model to ensure deviations are within established guard rails.
  • Assist with defining data model development methodologies, principles, standards, and governance considering People and Process optimization aspects.
  • Ensure data quality within the ecosystem, by aligning to guidelines, standards, and procedures.
  • Good exposure and/or past experience in ETL and/or massively parallel database.
  • Overall 10+ years of experience within Data warehousing.
  • Five or more years of recent experience in data modeling and design, coupled with strong knowledge of end-to-end data warehouse development life cycle (data integration, logical and physical modeling, and data delivery) supporting enterprise analytics and BI solutions.
  • Five or more years of enterprise level data design and development
  • Past experience or understanding of ETL technologies as part of Data warehouse development lifecycle.
  • Strong SQL skills to pull data from Teradata, Oracle or other MPPs for Data Analysis.
Preferred Skills
  • Working in a fast pace environment with handling multiple data modeling projects.
  • Functional knowledge/experience of the Consumer Banking/Financial Services Industry.
  • Excellent interpersonal skills, written and verbal communication skills.
  • Ability to exercise independent judgment and creative problem-solving techniques for data solutions in a large and complex environment.
  • Exposure to SAS.
Req #: 160036073
Location: Wilmington, DE US
Job Category: Technology
Employment Type: Full Time
Potential Referral Amount: US Dollar (USD)

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