Назад
3 часа назад

Manager/Sr. Manager, Finance Analytics (AI)

200 000 - 262 500$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager/Sr. Manager, Finance Analytics (AI) (SQL/Python/Snowflake): Building scalable finance data products, intelligent workflows, dashboards, and AI-driven applications while leading the Finance Analytics team, with an accent on production-grade data models, automation, and stakeholder impact. Focus on developing AI agents and decision-support tools, strengthening governed data foundations, and translating ambiguous finance problems into reusable systems.

Location: US-CA-Menlo Park, United States

Salary: $200,000–$262,500 per year

Company

Snowflake provides modern cloud data platforms and is expanding AI-powered solutions for enterprise operations.

What you will do

  • Define and execute the Finance Analytics roadmap in line with business priorities and data strategy.
  • Translate ambiguous finance problems into scalable data products, AI solutions, and automation initiatives.
  • Hire, develop, and mentor analysts, analytics engineers, and data product builders.
  • Oversee data products, dashboards, and internal applications from design through adoption.
  • Lead intelligent workflows including automation, copilots, agents, and decision-support tools.
  • Partner with Data Engineering and Finance leadership to improve data quality, governance, operational efficiency, and strategic decision-making.

Requirements

  • 8+ years of experience in analytics, data engineering, BI, or a related field, including 2+ years in people management.
  • Deep SQL expertise and experience building scalable, production-grade data models.
  • Experience with modern cloud data platforms such as Snowflake, BigQuery, or Redshift.
  • Strong Python or similar programming experience for data transformation, automation, or application development.
  • Experience building operational data products, tools, applications, or workflows beyond dashboards.
  • Experience applying AI or LLM technologies such as Cortex, OpenAI, or Claude to business problems, plus strong stakeholder communication and Finance experience.

Nice to have

  • Experience with ERP, financial planning, or business planning systems.
  • Background supporting finance, business operations, or analytics teams.
  • Familiarity with agile development practices.

Culture & Benefits

  • Fast-moving environment with an experimental mindset and emphasis on continuous learning.
  • Culture of ownership, speed, product orientation, and bias for action.
  • Focus on scalable, reusable solutions and practical AI adoption.

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