TD Bank
Business Information Mgmt Specialist(Testing and Controls-US)
TD Bank, Mount Laurel, New Jersey, United States, 08054
Business Information Management Specialist
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. High level responsibilities include but are not limited to the following: Document and maintain the QA strategy, operating model, roles and responsibilities, procedures as applicable. Develop/design and execute the testing strategy for each component in the Data Management Standard and procedures, and other CUSO DMO processes as needed. Develop/design and operationalize the reporting/dashboard on testing performed Develop/design and operationalize the monitoring of QA test results Development, implementation and execute the QA communication strategy 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: Candidates with 5+ years of relevant experience will be considered Advanced knowledge in Risk Management Advanced knowledge of Data Risk methodology Advanced knowledge of substantive testing, automated control testing, 1st line QA/QC testing Advanced knowledge of Python & SQL (Reading, writing , knowledge of joints etc.) Expert knowledge of MS Excel (Pivot, Vlook-ups, Formula, etc.) Experience working in Collibra Advanced knowledge of PowerApps, Power BI, Data Visualization, Visio, MS Office Excellent Communication Skills and Stakeholder Management skills 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 transfer and data expertise activities to support business teams using the information management solutions. Adheres to enterprise frameworks or methodologies that relate to data activities for business area Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets) Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/team accountabilities: Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team, and business unit, and/or cross-functional groups or committees (e.g., Data Councils) Keeps current on
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. High level responsibilities include but are not limited to the following: Document and maintain the QA strategy, operating model, roles and responsibilities, procedures as applicable. Develop/design and execute the testing strategy for each component in the Data Management Standard and procedures, and other CUSO DMO processes as needed. Develop/design and operationalize the reporting/dashboard on testing performed Develop/design and operationalize the monitoring of QA test results Development, implementation and execute the QA communication strategy 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: Candidates with 5+ years of relevant experience will be considered Advanced knowledge in Risk Management Advanced knowledge of Data Risk methodology Advanced knowledge of substantive testing, automated control testing, 1st line QA/QC testing Advanced knowledge of Python & SQL (Reading, writing , knowledge of joints etc.) Expert knowledge of MS Excel (Pivot, Vlook-ups, Formula, etc.) Experience working in Collibra Advanced knowledge of PowerApps, Power BI, Data Visualization, Visio, MS Office Excellent Communication Skills and Stakeholder Management skills 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 transfer and data expertise activities to support business teams using the information management solutions. Adheres to enterprise frameworks or methodologies that relate to data activities for business area Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets) Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/team accountabilities: Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team, and business unit, and/or cross-functional groups or committees (e.g., Data Councils) Keeps current on