Snowflake11 дней назад

Руководитель/Старший руководитель, Финансовая аналитика и AI

Зарплата не указана
РЫНОК
16 333медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьUS-CA-Menlo Park

Обязанности

  • 01Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy
  • 02Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives
  • 03Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders
  • 04Establish best practices across data modeling, experimentation, and product development
  • 05Foster a culture of ownership, speed, and continuous learning
  • 06Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance
  • 07Ensure solutions are scalable, reliable, and deeply embedded in business workflows
  • 08Lead the development of intelligent workflows, such as automation, copilots, agents, and decision-support tools, that increase leverage across Finance
  • 09Identify high-impact opportunities to apply AI and automation to core financial and operational processes
  • 10Partner with Data Engineering to ensure high-quality, well-modeled, and governed datasets
  • 11Establish standards for data quality, documentation, and discoverability
  • 12Deliver actionable insights and shape strategic decisions through data
  • 13Act as a thought partner to Finance leadership, bringing a data-driven perspective
  • 14Identify inefficiencies and drive system- and process-level improvements
  • 15Implement scalable solutions over one-off analyses

Требования

  • 018+ years of experience in analytics, data engineering, BI, or related fields, with 2+ years in a people management role
  • 02Deep expertise in SQL and building scalable, production-grade data models
  • 03Experience with modern cloud data platforms, such as Snowflake, BigQuery, or Redshift
  • 04Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development
  • 05Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations
  • 06Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems
  • 07Strong stakeholder management and communication skills, with the ability to influence senior leaders
  • 08Experience supporting Finance organizations

Условия

  • 01For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com