2 часа назад
Staff Business Intelligence Architect (AI)
172 500 - 260 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Business Intelligence Architect (AI) (GTM analytics): Building scalable business intelligence solutions, data models, self-service dashboards, and AI-powered intelligence workflows for Slack's go-to-market organization with an accent on metric standardization, advanced analytics, and executive storytelling. Focus on translating complex business data into strategic recommendations, identifying growth opportunities, and enabling reliable data-driven decisions across sales, finance, engineering, and data teams.
Location: California - San Francisco, United States
Salary: $172,500–$260,100 annually; in select San Francisco and New York City metropolitan areas, $207,800–$285,800 annually.
Company
operates within Salesforce, an AI CRM company focused on transforming how organizations work and engage with customers.
What you will do
- Partner with Sales Strategy and go-to-market leaders to identify growth opportunities and influence strategic decisions.
- Conduct deep analytical investigations and translate findings into executive-ready recommendations.
- Design scalable analytical frameworks, business metrics, data models, dashboards, reports, and data products.
- Build self-service analytics experiences that help stakeholders answer business questions independently.
- Develop AI-powered intelligence solutions connecting product usage, account health, customer engagement, and field activities into actionable go-to-market workflows.
- Lead initiatives across data modeling, metric design, visualization, advanced analysis, and self-service enablement.
Requirements
- 8+ years of experience applying analytics to complex business problems.
- Advanced SQL proficiency and experience with Python or R for analytics.
- Strong experience building scalable business intelligence solutions with Tableau or Looker.
- Experience creating effective self-service analytics experiences and maintaining high data quality.
- Exceptional communication, analytical rigor, and data storytelling skills, including executive presentations.
- Degree in a quantitative or technical discipline, or equivalent practical experience.
Nice to have
- Master's degree or PhD in computer science, statistics, economics, mathematics, or another quantitative field.
- Experience delivering measurable business outcomes in sales, finance, customer success, support, or other go-to-market organizations.
- Deep understanding of go-to-market operating models and experience with Sales Strategy or Sales Programs teams.
- Experience defining ambiguous business problems and leading analytical initiatives from concept through implementation.
Culture & Benefits
- Inclusive, collaborative environment that values curiosity, continuous learning, and diverse perspectives.
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Additional compensation may include bonus or incentive compensation, equity, and benefits where applicable.
- Reasonable accommodations are available during the application and recruiting process.
Hiring process
- Recruiting may use artificial intelligence tools to assess resumes and qualifications; final hiring decisions are made by humans.
- Employment decisions are based on qualifications and merit without discrimination.
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