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Data Management Lead

2 months ago

Mississauga, Ontario, Canada TD Bank Full time
Job Summary

We are seeking a highly skilled Data Management Lead to join our team at TD Bank. As a key member of our data management team, you will be responsible for providing technical leadership and expertise in data analysis, data modeling, and data governance.

Key Responsibilities
  • Provide technical leadership and expertise in data analysis, data modeling, and data governance
  • Develop and maintain knowledge of data available from upstream sources and data within various platforms
  • Collaborate with business and technology partners to elicit information/data requirements and articulate those requirements in a manner that can be easily understood by team members
  • Implement, maintain, and enhance Data Governance, Data Quality, and related policies, in alignment with TD's Enterprise standards and frameworks
  • Ensure requirements are captured regarding privacy and security of data, data governance, and access controls
  • Prioritize and manage own workload in order to deliver quality results and meet timelines
  • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork
Requirements
  • Undergraduate degree or Technical Certificate
  • 8 to 10 years of BSA experience in data analytics/data warehouse/data integration through agile environment
  • Strong communication and negotiation skills to work seamlessly in an agile cross-functional team, with clients, vendors, and other stakeholders
  • Creative, innovative, and able to think outside the box to visualize solutions that meet business needs
  • Strong experience in data analysis, profiling, clean-up, data wrangling, and validation
  • Hands-on experience building data quality checks and writing complex SQL queries
  • Experience working in large-scale Enterprise Data Lake ingestion and extraction projects
  • Experience with Data Lake, Azure Data Factory, DataBricks, Python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, Power BI
  • Demonstrable experience with conceptual, logical, and physical data modeling techniques
  • Strong analytical, organizational, and technical skills to analyze, model, and interpret data
  • Knowledge with Solutions Development Life Cycle (SDLC) and structured methodologies including agile, waterfall, and iterative
Preferred Qualifications
  • Solid knowledge of metadata management principles, metadata modeling, and writing metadata definitions
  • Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines
  • Proven experience with sprint facilitation, interpretation of business needs to technical requirements, facilitation of project meetings for reviews
  • Experience with supporting legacy applications such as Mainframe, other on-prem applications, and Migration of legacy solutions using COTS products
  • Experience in current state analysis through reverse engineering, identify source & downstream systems
  • Experience in conducting feasibility analysis, project scoping, and providing project work estimates
  • Experience with requirements development involving requirements elicitation, analysis, specification, and validation
  • Experience with documenting user stories, planning and managing product backlog, planning and managing sprints, and implementing in an iterative manner
What We Offer

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced data management professional looking for a new challenge, please submit your application.