Sr Business Information Mgmt Analyst (Data Concern Management Analyst-US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$68,640 - $102,960 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 Senior Business Information Management Analyst (US) provides business data concern management leadership and support across a broad range of Business Segments and Corporate Functions.  This position will support the US DMO (Data Management Office) by working with the team and Data Owners to identify risks impacting adherence to Enterprise Data Management Office (EDMO) data concern management process and identify efficiencies:

• Work with numerous business stakeholders to understand impediments to adherence to the Data Concern Management procedures
• Support the development of presentations/communications of data concern management adherence results
• Provide expertise within the specialized field and/or other data management functions that support business needs
• Understand department objectives and contribute by supporting data management activities
• Support the management of data in accordance with the Enterprise Data Policy, Standards and Strategy/ Enterprise Data Management Office (EDMO) Standards
• Work independently with minimal supervision / direction
• Use good judgement and critical thinking to make decisions that advance the work
• Identify and bring forward data risks to Leadership
• Deliver on commitments based on timelines
• Documentation of tasks and activities for audit purposes
• Communicate the leadership of issues, availability, and task completion  
• Collaborate effectively with others to establish and execute on common goals

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 language
• 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

Education & Experience:

• Undergraduate degree or Technical Certificate
• 5+