Senior Business Information Management Analyst

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Data & Analytics

Pay Details:
74500 $/$74,500 - 111700 $/$111,700 CAD

Job Description:

Provide 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.

KEY ACCOUNTABILITIES

CUSTOMER

• Analyze 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.
• Apply automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies
• Design and implement complex business data information management frameworks to provide a solution that meets business requirements
• Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
• Work 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

• Work with other various partners/ stakeholders to ensure project success
• Develop business requirements by researching / analyzing and documenting business data requirements
• Provide expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation
• Implement processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed
• Develop and maintain knowledge of data available from upstream sources and data within various platforms
• Identify 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
• Ensure business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines
• Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis
• Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
• Lead the investigation of root causes for data issues and ensure data issues are resolved
• Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions.
• Adhere to enterprise frameworks or methodologies that relate to data activities for business area
• Ensure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
• Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite

EMPLOYEE / TEAM

• Participate 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
• Provide industry knowledge for own area of expertise and participate in knowledge transfer within the team, business unit, and/or cross-functional groups or committees (e.g., Data Councils)
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
• Participate in personal performance management and development activities, including cross training within own team
• Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH

• 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
• Keep abreast of rapid business and technology innovation within business information management field
• Familiar with visualization tools
• Generally reports to a Senior / Manager role

EXPERIENCE & EDUCATION

• Undergraduate degree or Technical Certificate and/or
• 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background