Sr. Manager Business Information Mgmt - Data Management Reporting

Work Location:

Charlotte, North Carolina, United States of America

Hours:

40

Pay Details:

$110,760 - $178,880 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:

Department Overview:

The US Treasury Data Management team is part of the overall Enterprise Treasury Data Management. Their vision is to make US Treasury a data centric organization by ensuring that data used and owned by Treasury is fully understood, accessible, controlled and fit for purpose. The team strategy is to lead and deliver excellence by executing across 6 pillars with teams focusing on data strategy, inventory management, data issue management, data change management, data quality metrics/profiling and dashboards, data change management as well as data solutions. Ultimately this team is focused on providing innovative solutions and advice, building sustainable practices and fostering collaboration and growth across the team and partners.

 

Depth & Scope:

• Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
• Oversees and leads a large and/or highly complex and diverse reporting  function for an area of significant risk, complexity or scope while growing talent, developing skills and capabilities to achieve career goals, support project / initiative success and achieve business results
• Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
• Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and anticipating emerging trends
• Sets operational team direction and collaborate with others to execute on common goals
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
• Supports Reporting and Business Intelligence (BI) 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
• Elicit, Solicit, analyze, and understand 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
• Graduate degree, preferred
• 10+ 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 program solving skills are required to interpret data and draw conclusions
• Knowledge of current and emerging competitor and market trends
• Skill in managing budgets and resource allocation
• Skill in mentoring, coaching and