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Job Category

Finance

Job Details

About Salesforce

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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.

Key Responsibilities

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.

• Stay current with emerging technologies and regulatory trends shaping Finance data management.

Qualifications

• 12–15+ years of experience in data management, data governance, Finance data strategy, or related fields.

• Strong understanding of Finance processes, accounting flows, and financial reporting requirements; experience in audit or accounting is a plus.

• Proven experience designing data models, managing data lakes, and overseeing data ingestion and transformation.

• Leadership experience managing global or offshore teams, ideally in shared-services or GCC environments.

• Strong stakeholder management skills, with the ability to influence executives and cross-functional partners.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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