Vice President, Data Science & Analytics - Slack

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Job Category : Data

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Overview of the Role :

Do you have the following skills, experience and drive to succeed in this role Find out below.

Slack (a Salesforce company) is looking for a data professional who can lead Slack's data science teams through its next chapter of growth.

As the Vice President, Data Science & Analytics, reporting to the COO, you will own the holistic data strategy for Slack Business Operations, leading a team across business insights, data science, data engineering and strategically partnering with peer data teams in product analytics, experimentation, and analytical tooling.

This team partners closely with cross-functional stakeholders to provide critical business insights across sales, customer success, product, design, engineering and more.

Responsibilities :

• Lead Slack's strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with functional stakeholders across Sales, Product, Marketing, and Go-To-Market Operations.
• Partner with senior leadership across all of Salesforce to identify Slack's business challenges and opportunities, and translate them into actionable, integrated, data-driven solutions.
• Champion a data-driven culture by fostering collaboration and common data literacy across data teams and business functions.
• Oversee the recruitment, development, and management of a high-performing global team of data scientists, analysts, and data engineers.
• Develop and implement a robust data governance framework to ensure data quality, security, and compliance.
• Design and build scalable data infrastructure and platforms to support enterprise-wide data needs.
• Drive the development and implementation of advanced analytics models and machine learning algorithms to extract valuable insights from data that drive the business forward.
• Communicate complex data analysis and findings effectively to both technical and non-technical audiences.
• 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.
• Established 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.
• Proven experience 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 required.

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