Data Management Lead (US)

Work Location:

United States of America

Hours:

40

Pay Details:

$110,760.000 - $178,880.00 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Technology Solutions

Job Description:

We are looking for a Data Management Lead within the Technology function in the AML Compliance division. You will also have the opportunity to provide guidance and leadership beyond your immediate project on significant data driven strategic initiatives to modernize the technology and capabilities to align with the portfolio and enterprise technology roadmaps.

About This Role
We are looking for a Data Management Lead within the Technology function in the AML Compliance division. You will also have the opportunity to provide guidance and leadership beyond your immediate project on significant data driven strategic initiatives to modernize the technology and capabilities to align with the portfolio and enterprise technology roadmaps.

The primary responsibility of our team is to design, develop and maintain the technology platform that processes the banks payments through behaviour detection algorithms to detect suspicious and fraudulent activity. 
The open role is for a person who is very familiar and implemented data management and data governance practices in Compliance functions.
For any new products that needs to be monitored the hire will lead the team to work with the various front office and back-office source teams to create data dictionaries that will allow them to transform the data to the target product requirements. The hire will drive the team to obtain data sourcing requirements by working closely with both the Line of business, Compliance business and technology teams. The person will lead the effort to define data quality validations and the various business logic transformations that will be required when sourcing the data. The hire will also lead the data quality testing after the data has been sourced in order to identify gaps that need to be remediated prior to being used in the downstream systems. The hire will lead the team that designs and maintains the data governance process to ensure that data quality and integrity is met when payments and reference data is sent to AML Compliance systems. This will also involve documenting and managing the development of relevant data quality and business logic validations and checks for the feeds that are sent to Target product systems.

Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here's some of what you may be asked to perform:

• Lead a team of data quality professionals to drive data management initiatives within the AML functions.
• Manage and work with various stakeholders to define the data requirements for various products that need to be sourced for the CRR and Transaction monitoring systems.
• Design and develop processes that will ensure that the data being sourced meets the data quality standards that have been designed.
• Work with development teams to ensure that all data transformation logic has been adequately developed and tested.
• Design and adhere to processes to ensure exceptions are captured and there is governance around how they are managed.
• Develop metrics around data quality to track the quality of data being sourced.
• Define and implement a robust data governance model around the data that is being sourced to ensure that any risks are identified and mitigated.
• Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism.

Depth & Scope:

• Expert knowledge of the technical environment/ tools for own area of expertise

• Expert knowledge of business processes and procedures, as well as broader organizational issues and technology

• Advanced knowledge of business/ organization, Bank standards, infrastructure, architecture and technology in related areas from a design/ support/ solutions perspective

• Strong development b