Director of Data Analytics- Finance & Regulatory Data Management

Requisition

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Scotiabank continues to be an industry leader for Finance technology and innovation. We have a history of safely leveraging new tools to enable new experiences for our customers, focusing on ensuring we protect their interests and goals. The result of this leads to modernization programs which aim to offer enriched information and transparencies to support the rapidly evolving payments community.

We are seeking a senior leader to establish and scale Finance Data Management capabilities across the enterprise. The Director of Finance Data Management will define, govern, and operationalize the financial and regulatory data ecosystem that underpins planning, reporting, regulatory compliance, and advanced analytics.

This role is critical to enabling a single source of truth for financial and regulatory data, improving data quality, and ensuring consistent, auditable data flows across Finance, Treasury, Risk, and regulatory reporting functions.

The successful candidate will combine data governance, finance and regulatory domain expertise, and emerging AI capabilities to position data as a strategic asset that drives decision‑making, automation, and regulatory confidence.

• 1. Finance & Regulatory Data Strategy
  • Define and lead the Finance Data Management strategy
    , incorporating regulatory data requirements across capital, liquidity, and financial reporting.
  • Align with enterprise data strategy to support integrated Finance, Risk, and Regulatory reporting
    .
  • Establish a roadmap for data modernization and AI‑enabled data capabilities
    .
• 2. Data Governance & Stewardship
  • Establish and enforce data governance frameworks across financial and regulatory data:
    • Data ownership and stewardship models
    • Standard data definitions, hierarchies, and taxonomies
    • Policies for data quality, lineage, and controls
  • Ensure strong alignment with BCBS 239 principles and internal governance standards.
• 3. Data Quality, Controls & Regulatory Compliance
  • Build and operationalize data quality and control frameworks that support:
    • Financial reporting accuracy
    • Regulatory reporting integrity and timeliness
  • Implement processes for:
    • Reconciliation, validation, and issue management
    • Root cause analysis and remediation of data issues
  • Partner with Finance, Risk, and Compliance to meet regulatory and audit expectations
    .
• 4. Regulatory Data Enablement
  • Oversee data readiness and integration for regulatory reporting (e.g., capital, liquidity, stress testing).
  • Ensure traceability from source systems to regulatory submissions
    , with full auditability.
  • Support Finance and Risk teams in adapting to evolving regulatory requirements
    .
• 5. Data Architecture & Integration
  • Oversee end‑to‑end financial and regulatory data flows
    , ensuring seamless integration across:
    • GL, sub‑ledgers, and transaction systems
    • FP&A and planning platforms
    • Risk, Treasury, Capital, and Liquidity systems
  • Partner with engineering teams to implement modern data platforms (e.g., cloud, Spark‑based pipelines).
• 6. AI & Advanced Data Capabilities
  • Enable the use of AI and advanced analytics on governed finance data, including:
    • Predictive insights (forecasting, anomaly detection)
    • Data quality automation and exception identification
    • Intelligent reconciliation and matching
    • Natural language querying and reporting
  • Ensure AI models are built on trusted, governed, and explainable data foundations
    .
  • Partner with Data Science and Analytics teams to operationalize AI‑driven Finance use cases
    .
• 7. Metadata, Lineage & Transparency
  • Implement and maintain data lineage and metadata management across finance and regulatory data flows.
  • Ensure full transparency and explainability of key financial and regulatory metrics.
  • Support audit, compliance, and regulatory reviews with strong traceability.
• 8. Business Data Enablement
  • Serve as a bridge between Finance, Risk, and Technology stakeholders.
  • Standardize financial and regulatory data models across reporting and planning processes.
  • Improve usability and accessibility of data for:
    • Executive reporting
    • Regulatory submissions
    • Scenario analysis and planning
• 9. Operating…