Senior Director, Controllership Data Strategy - Toronto - Salesforce, Inc.

    Salesforce, Inc.
    Salesforce, Inc. Toronto

    6 days ago

    Description
    *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 CategoryFinanceJob 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.
    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.
    Unleash Your PotentialWhen 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.

    AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee 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.

    This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

    It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

    Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.### ### ### ### ### ### ### ###
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