Director of Data Analytics- Finance & Regulatory Data Management

Requisition ID: 263464

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.

Role Overview

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.

Key Responsibilities

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 Model & Leadership

• Build and lead teams across:
• Data governance and stewardship
• Data quality and controls
• Regulatory data management
• Establish a scalable operating model across Finance and Risk domains.
• Drive accountability for data ownership within business functions.

Qualifications & Experience

Required

• 10+ years of experience in data management, data governance, or finance data architecture
• Strong domain expertise in:
• Financial reporting and FP&A
• Regulatory reporting (capital, liquidity, stress testing, etc.)
• Proven experience implementing enterprise data governance frameworks
• Experience supporting regulatory, audit, and compliance-driven data requirements

Core Expertise

• Finance & regulatory data models (GL, hierarchies, regulatory attributes)
• Data governance, stewardship, and control frameworks
• Data quality management and reconciliation processes
• Metadata, lineage, and master data management
• Integrated Finance–Risk data ecosystems

Technical & Analytical Skills

• Modern data platforms (e.g., cloud data lakes, Spark, ETL/ELT pipelines)
• Data governance and catalog tools
• Exposure to AI/analytics tools and techniques (e.g., predictive modeling, anomaly detection, automation)
• Experience with financial systems (SAP, Oracle, Anaplan, Workiva, Cognos)
• Reporting tools (Power BI, Tableau)

Leadership & Stakeholder Skills

• Strong executive presence with ability to influence CFO, CRO, CIO, and regulators/audit stakeholders
• Ability to translate complex data challenges into business and regulatory outcomes
• Experience leading cross-functional teams in matrixed environments

Preferred

• Experience in financial services or regulated industries
• Deep familiarity with BCBS 239 or equivalent regulatory data frameworks
• Experience in finance transformation or regulatory remediation programs
• Exposure to AI adoption in Finance or Risk environments

What Success Looks Like

• A fully implemented Finance and Regulatory data governance framework
• High-quality, trusted, and audit-ready financial and regulatory data
• Reduced reconciliation effort and fewer regulatory data issues
• Transparent, traceable data flows across Finance and Risk systems
• AI-enabled capabilities improving insight, efficiency, and control
• Strong alignment across Finance, Risk, and Technology on data usage

Why Join our Team

• Play a critical role in shaping data as a strategic asset across Finance and Risk
• Directly impact regulatory confidence, audit outcomes, and enterprise decision-making
• Lead the integration of data governance and AI-driven innovation
• Partner with senior leadership on high-visibility transformation initiatives

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.