Senior Director, Controllership Data Strategy & Execution
salesforce.com, inc., Atlanta, GA, United States
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.
Overview of the Role As a member of the Controllership organization, the Senior Director, Controllership Data Strategy & Execution, leads the Salesforce Finance-wide data strategy and drives optimization of business dimensions to align with organizational goals. Acting as a bridge between business and technology, the role ensures data is leveraged as a strategic asset, overseeing data governance, quality, and architecture while integrating AI and advanced analytics to generate insights and automation. The Senior Director leads initiatives supporting AI-driven decision-making, digital transformation, and operational excellence, collaborates with finance and IT teams to translate business objectives into actionable solutions, and identifies opportunities to optimize processes and predictive analytics. This role requires expertise in finance data management, AI applications, and strong leadership to execute the organization's data and AI strategy effectively.
Responsibilities
Data Strategy & Leadership: Develop and refine the company's long-term data strategy aligned with business priorities, including the optimization of business dimensions.
Data Governance & Compliance: Establish and oversee data governance practices, policies, and standards—including SOX controls—to support the certification and reliability of financial reporting.
Data Program & Execution Management: Lead the execution of large-scale data initiatives, including data platforms, MDM, data lake modernization, and AI-driven projects.
Cross-Functional Collaboration: Work with IT, Analytics, Finance, Product, and Business teams to identify data and AI opportunities and translate business requirements into AI-augmented, data-driven solutions.
Data Architecture & Technology Guidance: Collaborate with data architects to design scalable, AI-ready data ecosystems; evaluate and recommend data tools, platforms, and AI technologies.
Team Leadership & Development: Lead and develop a team of data strategists, project managers, analysts, and AI specialists; build organizational capabilities in data literacy and AI adoption.
Minimum Qualifications
Master's or Bachelor's degree in Data Science, Information Systems, Business, or related field or equivalent relevant experience required. Experience will be evaluated based on the Core Competencies for the role.
12+ years of experience in data management, analytics, digital transformation, or related disciplines.
A background in financial audit and/or accounting operations is required.
Must have a strong understanding of end-to-end data flows and accounting processes.
Proven track record of driving enterprise-level data initiatives.
Experience working in fast-paced, matrixed organizations.
Strong understanding of data governance, data management, and modern data architectures.
Excellent communication and stakeholder management skills.
Ability to translate complex data concepts into business language.
Strong leadership, organizational, and program management skills.
This role is hybrid and goes into the office 3 days per week.
Posting and accommodations information is not included in this refined description to maintain a job-focused presentation while preserving essential equal opportunity statements where applicable.
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Overview of the Role As a member of the Controllership organization, the Senior Director, Controllership Data Strategy & Execution, leads the Salesforce Finance-wide data strategy and drives optimization of business dimensions to align with organizational goals. Acting as a bridge between business and technology, the role ensures data is leveraged as a strategic asset, overseeing data governance, quality, and architecture while integrating AI and advanced analytics to generate insights and automation. The Senior Director leads initiatives supporting AI-driven decision-making, digital transformation, and operational excellence, collaborates with finance and IT teams to translate business objectives into actionable solutions, and identifies opportunities to optimize processes and predictive analytics. This role requires expertise in finance data management, AI applications, and strong leadership to execute the organization's data and AI strategy effectively.
Responsibilities
Data Strategy & Leadership: Develop and refine the company's long-term data strategy aligned with business priorities, including the optimization of business dimensions.
Data Governance & Compliance: Establish and oversee data governance practices, policies, and standards—including SOX controls—to support the certification and reliability of financial reporting.
Data Program & Execution Management: Lead the execution of large-scale data initiatives, including data platforms, MDM, data lake modernization, and AI-driven projects.
Cross-Functional Collaboration: Work with IT, Analytics, Finance, Product, and Business teams to identify data and AI opportunities and translate business requirements into AI-augmented, data-driven solutions.
Data Architecture & Technology Guidance: Collaborate with data architects to design scalable, AI-ready data ecosystems; evaluate and recommend data tools, platforms, and AI technologies.
Team Leadership & Development: Lead and develop a team of data strategists, project managers, analysts, and AI specialists; build organizational capabilities in data literacy and AI adoption.
Minimum Qualifications
Master's or Bachelor's degree in Data Science, Information Systems, Business, or related field or equivalent relevant experience required. Experience will be evaluated based on the Core Competencies for the role.
12+ years of experience in data management, analytics, digital transformation, or related disciplines.
A background in financial audit and/or accounting operations is required.
Must have a strong understanding of end-to-end data flows and accounting processes.
Proven track record of driving enterprise-level data initiatives.
Experience working in fast-paced, matrixed organizations.
Strong understanding of data governance, data management, and modern data architectures.
Excellent communication and stakeholder management skills.
Ability to translate complex data concepts into business language.
Strong leadership, organizational, and program management skills.
This role is hybrid and goes into the office 3 days per week.
Posting and accommodations information is not included in this refined description to maintain a job-focused presentation while preserving essential equal opportunity statements where applicable.
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