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Job Category

Products and Technology

Job Details

Department Overview - Data Intelligence

Data Intelligence (Di) is the force that propels Salesforce into the 4th Industrial Revolution, informing the path forward through trusted data and artificial intelligence. The Di team is made up of data scientists, engineers, and analysts who are dedicated to driving product and distribution strategy with data-driven insights. The Di team works with executives, product managers, designers, developers, user researchers, marketers, customer success, and sales team members across all Cloud businesses to discover new opportunities for growth and optimization, drive data-informed product strategy, and create data product experiences and actionable insights that enable our stakeholders to maximize product adoption and revenue. This role will lead the cross-cloud efforts, reporting directly to the Senior Director of Data Science.

Role Description

The cross-cloud team is a unique and relatively new function within Di. Partnering with analysts and data scientists embedded in the Cloud businesses, as well as Di teams who provide data and analytical infrastructure, the cross-cloud team identifies and executes initiatives that benefit the whole Di and multiple Cloud businesses. The Sr. Manager will lead a team of data scientists and analysts in a collaborative, cross-functional environment to develop and curate data assets, deliver insights based on data, develop data stories and visualization, recommend improvements, and conduct experiments (A/B, Multivariate). 

Responsibilities

• Lead a high-achieving, innovative, fast-paced team of Analysts that partner with cross-functional teams to understand the business problem, gather information, synthesize data, apply mathematical and statistical methods to test hypotheses, and overlay business context to understand why something happened (descriptive analytics) and provide recommendations on what to do about it (prescriptive analytics).

• Forster deep collaboration with cross-functional partners to establish the roadmap for the team, prioritize the most impactful work, and guide the team in solving ambiguous and complex problems.

• Leads the full cycle of data and analytics development, managing resources and processes to achieve high quality work while continuously improving efficiency. Actively makes critical decisions (RACI, timeline, scope, etc) to ensure the timely delivery of accurate analyses and analytical services.

• Provides to stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the analyses.

• Provides thought leadership to Di partners and Product stakeholders on how to utilize cross-product data and insights to deliver the maximum value to our customers. 

• Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, improving team processes, and other lateral activities.

• Be a leader. Develop and coach your team to grow every single day, and be a role model for the entire Di team

 

Minimum Qualification

• 7+ years of experience (or MS with 5+ years ) in data science or analytics roles

• 3-5 years of experience managing data analysts with a proven track record of developing successful analysts

• Graduate ( PhD preferred) degree in Statistics, Computer Science, Engineering, or related quantitative field experience

Job Requirements

• Full stack experience across data science, analytics, and data engineering (data sources, data pipelines, and database technologies). 

• Strong working knowledge (including ability to review and comment) of statistical and machine learning techniques, their advantages, disadvantages and areas of application.

• Highly proficient in SQL, Python/R, and BI tools.

• Ability to think through the data architecture needed for an analytical project, making recommendations to engineering about how to structure datasets, and demonstrating an expert grasp of tradeoffs of different data structures and pipeline options.

• Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. 

• Excellent problem-solving skills and end to end quantitative thinking. 

• Strong organizational skills, time management, portfolio prioritization experience, and accountability required.

• Experience partnering with cross-functional teams to define goals, processes and priorities. 

• Expert in building relationships and collaborating in a matrixed environment, working effectively with a variety of individuals and organizations

• Track record of guiding teams through complex technical problems to deliver business impact. 

• Experience growing teams in fast-paced, agile, ambiguous multi-geographic environments. 

• Bonus Points: Enterprise software geek. Passion for Salesforce products is a plus!

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