Business Information Mgmt Specialist - U.S. Liquidity Change Management

Work Location:

Greenville, South Carolina, United States of America

Hours:

40

Pay Details:

$86,840 - $139,360 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

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Line of Business:

Data & Analytics

Job Description:

Department Overview:

The US Treasury Data Management team is responsible for ensuring that data used and owned by US Treasury is fully understood, accessible, adequately controlled and fit for purpose. With specific emphasis on Liquidity, there is a need for change management around all business and technology-driven changes to the Treasury strategic data repository, Indigo. This would include maintaining an inventory of all changes that would be happening upstream of Indigo and to Indigo directly that would have any potential impact to Liquidity data. These changes will need to be communicated to, and coordinated with, business users, technology users and specific teams within US Treasury Data Management dedicated to maintaining and expanding Indigo. While the incumbent would not be directly responsible for making these changes, it is imperative the incumbent fully understands the platform landscape, the nature of the users and is able to identify impacts and manage the change as it pertains to Liquidity users, inclusive of all testing.

Job Summary:

The Business Information Management Specialist provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics.  Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects.

Depth & Scope:

• Highly seasoned professional role requiring substantial  knowledge / expertise in a complex field and knowledge of broader related areas
• Requires master level conceptual expertise and knowledge for own area of specialty / domain and knowledge of broader related areas
• Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of business information management processes and procedures
• Expert level analytical and problem solving skills and fluent in multiple programming language
• Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others
• Manages and directs activities related to analysis, design and support of business information management solutions
• In-depth expertise or experience with big data solutions and familiarity with big data technologies
• Keeps abreast of rapid business and technology  innovation within business information management field
• Familiar with visualization tools
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
• Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
• May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
• Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
• Supports business teams in the use and understanding of the data and reporting solutions
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
• Drives data-centric solution development focusing on complex data integration
• Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions
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