Senior Director, Controllership Data Strategy & Execution
Salesforce, Atlanta, GA, United States
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.
Responsibilities
Data Strategy & Leadership – develop and refine the company’s long‑term data strategy aligned with business priorities, promote a data‑driven and AI‑enabled culture, and identify emerging trends and technologies.
Data Governance & Compliance – establish and oversee data governance practices, policies, and standards (including SOX controls), ensure compliance with GDPR and other regulations, define data quality metrics, and implement AI‑driven monitoring tools.
Data Program & Execution Management – lead the execution of large‑scale data initiatives such as data platforms, MDM, data lake modernization, and AI projects, oversee project roadmaps, resource planning, and cross‑functional coordination, and ensure timely delivery of solutions for analytics and reporting.
Cross‑Functional Collaboration – work closely with IT, Analytics, Finance, Product, and Business teams to identify data and AI opportunities, act as a strategic partner to executives, and facilitate alignment between technical and business stakeholders.
Data Architecture & Technology Guidance – collaborate with data architects to design scalable, AI‑ready data ecosystems, evaluate and recommend data tools and platforms, and drive standardization of business dimensions and data models across the enterprise.
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, and foster a collaborative, high‑performance culture.
Minimum Qualifications
Master’s or Bachelor’s degree in Data Science, Information Systems, Business, or a related field, or equivalent experience.
12+ years of experience in data management, analytics, digital transformation, or related disciplines.
Background in financial audit and/or accounting operations.
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.
Hybrid: The role is hybrid and requires office presence 3 days per week.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. The policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and all other employment decisions. All applicants will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law.
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Responsibilities
Data Strategy & Leadership – develop and refine the company’s long‑term data strategy aligned with business priorities, promote a data‑driven and AI‑enabled culture, and identify emerging trends and technologies.
Data Governance & Compliance – establish and oversee data governance practices, policies, and standards (including SOX controls), ensure compliance with GDPR and other regulations, define data quality metrics, and implement AI‑driven monitoring tools.
Data Program & Execution Management – lead the execution of large‑scale data initiatives such as data platforms, MDM, data lake modernization, and AI projects, oversee project roadmaps, resource planning, and cross‑functional coordination, and ensure timely delivery of solutions for analytics and reporting.
Cross‑Functional Collaboration – work closely with IT, Analytics, Finance, Product, and Business teams to identify data and AI opportunities, act as a strategic partner to executives, and facilitate alignment between technical and business stakeholders.
Data Architecture & Technology Guidance – collaborate with data architects to design scalable, AI‑ready data ecosystems, evaluate and recommend data tools and platforms, and drive standardization of business dimensions and data models across the enterprise.
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, and foster a collaborative, high‑performance culture.
Minimum Qualifications
Master’s or Bachelor’s degree in Data Science, Information Systems, Business, or a related field, or equivalent experience.
12+ years of experience in data management, analytics, digital transformation, or related disciplines.
Background in financial audit and/or accounting operations.
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.
Hybrid: The role is hybrid and requires office presence 3 days per week.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. The policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and all other employment decisions. All applicants will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law.
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