[Hiring] Senior Business Information Management Analyst @TD

Role Description

The Senior Business Information Management Analyst (US) 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.

• Responsible for account level research to ensure all pertinent data required to accurately calculate FDIC insurance is remediated.
• Must be located within TD footprint: CT, DE, FL, ME, MD, MA, NH, NJ, NY, PA, RI, SC, VT, VA, DC.

Depth & Scope:

• Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas.
• Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas.
• Advanced analytical and problem solving skills and fluent in one or two programming languages.
• Works autonomously on a range of tasks and may be relied upon to coach / educate others.
• Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs.
• In-depth experience working with very large datasets 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.

Qualifications

• Undergraduate degree or Technical Certificate.
• 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background.
• Proficient 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.
• Strong excel experience preferred.
• SQL skills preferred.
• Experience with building queries to seek out specific scenarios preferred.
• Strong attention to detail preferred.
• Excellent time management experience preferred.
• Experience with Data Remediation in financial institutions preferred.
• In-depth knowledge of lending and deposit accounts preferred.

Requirements

• Analyzes and understands 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.
• 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.
• 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.

Benefits

• Base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards).
• Health and well-being benefits.
• Savings and retirement programs.
• Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO).
• Banking benefits and discounts.
• Career development opportunities.
• Reward and recognition programs.