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Salesforce INC

Director, Finance Data Strategy & Stewardship

Canada - Toronto Posted today

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SalesforceCRMCustomer successComplianceData engineeringLeadershipAccountingAudit

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No sponsorship evidence yet

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  • Confirmed live todayWhen a source last listed this job as open.
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No salary bar for this route
Canada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.

Canada: Express Entry no longer awards ranking points for job offers (since 25 Mar 2025); a job offer still counts toward Federal Skilled Worker eligibility.

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Sponsorship unknown

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About the role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Finance Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience: As a member of the Controllership organisation, the Director of Finance Data Strategy & Stewardship will lead the end-to-end strategy, governance, and lifecycle management of Finance data across the enterprise. This role oversees the intake of new data into the Finance data lake, defines data models and governance standards, and ensures the reliability, quality, and compliance of Finance data used for reporting and analytics. The Director will also manage and develop a dedicated Data Governance and Reporting Controls team located in India, responsible for data stewardship, SOX-related data certification, and support for Finance reporting. What You'll Actually Be Doing: 1. Data Strategy & Intake Management • Define and drive the Finance data strategy, aligned with business priorities and downstream reporting needs. • Oversee the onboarding of new data sources into the Finance data lake, ensuring scalability, traceability, and alignment with enterprise architecture. • Partner with Finance, IT, and product teams to assess new data requirements and convert them into actionable data delivery roadmaps. 2. Data Modeling & Architecture • Lead the design of enterprise-grade Finance data models and semantic layers to support analytics, regulatory reporting, and operational Finance needs. • Ensure metadata standards, master data alignment, and consistent data definitions across systems. • Collaborate with data architects and engineering teams to ensure robust and efficient data pipelines. 3. Data Governance & Controls • Establish and enforce data governance standards, policies, and stewardship processes for Finance data. • Oversee the definition and monitoring of data quality rules, issue management, and remediation workflows. • Ensure compliance with SOX controls and certification requirements related to financial data and reporting. 4. Leadership of the India Data Governance Team • Lead and develop a team in India responsible for data governance, data quality operations, and stewardship activities. • Oversee processes related to Finance reporting controls, SOX testing support, and data certification. • Foster a culture of accountability, operational excellence, and continuous improvement. 5. Cross-Functional & Executive Partnership • Work closely with Finance, Accounting, FP&A, IT, Audit, and Data Engineering leaders to align on priorities and data needs. • Serve as a strategic advisor to senior executives on Finance data risks, data quality, and opportunities to improve reporting and insights. • Drive alignment between business requirements and technical implementation across the data value chain. 6. Operational Excellence & Continuous Improvement • Establish KPIs, dashboards, and operating mechanisms to measure data quality, controls effectiveness, and team performance. • Identify and implement process improvements, automation opportunities, and best practices in data governance and data delivery.

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