Vice President, Data Science & Analytics

Overview of the Role

Slack, a Salesforce company, is seeking a seasoned data professional to lead its data science teams into the next phase of growth. As the Vice President of Data Science & Analytics, you will report directly to the COO and be responsible for the comprehensive data strategy for Slack Business Operations. This role involves leading a team that spans business insights, data science, data engineering, and strategic partnerships with peer data teams in product analytics, experimentation, and analytical tooling. You will work closely with cross-functional stakeholders to deliver critical business insights across sales, customer success, product, design, engineering, and more.

Responsibilities

• Strategic Leadership: Define and drive Slack’s strategic direction and vision for data science, business analytics, and data engineering functions. Build partnerships with functional stakeholders across Sales, Product, Marketing, and Go-To-Market Operations.
• Cross-functional Collaboration: Partner with senior leadership across Salesforce to identify Slack’s business challenges and opportunities, translating them into actionable, integrated, data-driven solutions.
• Data-Driven Culture: Champion a data-driven culture by fostering collaboration and common data literacy across data teams and business functions.
• Team Management: Oversee the recruitment, development, and management of a high-performing global team of data scientists, analysts, and data engineers.
• Data Governance: Develop and implement a robust data governance framework to ensure data quality, security, and compliance.
• Infrastructure Development: Design and build scalable data infrastructure and platforms to support enterprise-wide data needs.
• Advanced Analytics: Drive the development and implementation of advanced analytics models and machine learning algorithms to extract valuable insights from data that drive the business forward.
• Communication: Communicate complex data analysis and findings effectively to both technical and non-technical audiences.
• Innovation: Stay abreast of emerging data trends and technologies and champion their adoption within the organization.

Qualifications

• 15+ years of experience in data science or data engineering leadership, with demonstrated success in applying advanced analytics techniques to solve real-world problems.
• Proven track record of building and leading high-performing data teams, fostering a culture of collaboration, accountability, and knowledge sharing.
• In-depth understanding of modern data governance, security, and compliance best practices, with the ability to balance data accessibility with data integrity for data-driven projects.
• Experience in designing and implementing data infrastructure and platforms to support large-scale data science and analytics workloads (e.g., data lakes and data warehouses).
• Proficiency in advanced analytics techniques and machine learning algorithms, including natural language processing, time series analysis, and other relevant methods.
• Excellent communication, collaboration, and presentation skills, with the ability to translate complex analytical concepts into clear and actionable insights for diverse audiences (business to technical).
• Strategic thinking and problem-solving abilities, with a strong focus on innovation and staying ahead of the curve in data and analytics.
• Strong business acumen and a solid understanding of SaaS business processes and industry trends.
• A related technical degree is required.

Accommodations

If you require assistance due to a disability applying for open positions, please submit a request via the Accommodations Request Form.

Posting Statement

At Salesforce, we believe that the business of business is to improve the state of our world. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.