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Vice President, Data Science - Slack

Slack

Slack

Data Science
Multiple locations
Posted on Tuesday, June 4, 2024

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 Category

Data

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Overview of the Role:
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, 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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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. 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. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

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. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $295,600 to $472,900.

For Washington-based roles, the base salary hiring range for this position is $270,400 to $432,700.

For California-based roles, the base salary hiring range for this position is $270,400 to $472,900.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.