Description

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

1. Data Strategy & Leadership

• Develop and refine the company’s long-term data strategy aligned with business priorities, including the optimization of business dimensions.

• Promote a data-driven and AI-enabled culture across the organization, enabling teams to make informed decisions.

• Identify emerging trends, assess new technologies, and leverage AI to enhance data capabilities.

2. Data Governance & Compliance

• Establish and oversee data governance practices, policies, and standards—including SOX controls—to support the certification and reliability of financial reporting

• Ensure compliance with applicable regulations (e.g., GDPR, data privacy laws, industry requirements).

• Define data quality metrics, implement processes to improve data integrity, and integrate AI-driven monitoring tools where applicable.

3. Data Program & Execution Management

• Lead the execution of large-scale data initiatives, including data platforms, MDM, data lake modernization, and AI-driven projects.

• Oversee project roadmaps, resource planning, and cross-functional coordination.

• Ensure timely delivery of data solutions that support analytics, AI-powered insights, reporting, and operational systems.

4. 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, translating business requirements into AI-augmented, data-driven solutions.

• Facilitate alignment between technical teams (data engineering, architecture) and business stakeholders.

5. Data Architecture & Technology Guidance

• Collaborate with data architects to design scalable, AI-ready, and modern data ecosystems (cloud, data mesh, etc.).

• Evaluate and recommend data tools, platforms, and AI technologies.

• Drive standardization of business dimensions, data models, definitions, and architectures across the enterprise.

6. Team Leadership & Development

• Lead and develop a team of data strategists, project managers, analysts, and AI specialists.

• Build organizational capabilities in data literacy, AI adoption, and strategic data management.

• Foster a collaborative, high-performance culture with a focus on innovation and business dimension optimization.

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 (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

• 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.