CBEX Data Assurance Specialist

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$91,000 - $136,240 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.

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:

Data & Analytics

Job Description:

The CBEX Data Assurance Analyst supports the Consumer Business Excellence Data Assurance team that is responsible for supporting business information management needs for Customer Advocacy, 1A Financial Crimes and Community Lending & Development. Role may also be a technical expert within a specialized data management field responsible for providing team leadership and building out Business Information Management organizational capabilities.

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

Education & Experience:

• Undergraduate degree or Technical Certificate
• 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
• Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports
• Analytical and problem solving skills are required to interpret data and draw conclusions
• Knowledge of current and emerging competitor and market trends
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Skill in mentoring/coaching others
• Skill in using computer applications including MS Office
• Ability to communicate effectively in both oral and written form
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgement in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle confidential information with discretion
• Ability to contribute to strategic direction of the function and provide advice to senior leadership

Preferred Qualifications:

• Moderate-to-Advanced Data Management knowledge
• Experience with Jira, Alteryx, SQL
• Ability to build cross functional relationships
• Strong Attention to Detail
• Understanding of complex data architectures

Customer Accountabilities:

• Analyzes and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements.
• Applies automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies
• Designs and implements complex business data information management frameworks to provide a solution that meets business requirements
• Collaborates with technology and business partners to resolve issues and ensure requirements and established SLAs
• Works closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards

Shareholder Accountabilities:

• Works with other various partners/ stakeholders to ensure project success
• Develops business requirements by researching / analyzing and documenting business data requirements
• Provides expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
• Implements processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
• Develops and maintains knowledge of data available from upstream sources and data within various platforms
• Identifies critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs
• May be responsible to understand and utilize business information management data deliverables
• Ensures business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
• Performs data profiling using TD tooling and ad hoc system query languages to validate data analysis
• Provides support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
• Leads the investigation of root causes for data issues and ensure data issues are resolved
• Identifies and/or defines knowledge