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Описание вакансии
Текст:
TL;DR
Head of Data - Finance (Data Science/Analytics): Leading the data science and analytics capability embedded in Finance, with an accent on metric governance, forecasting data models, and reliable financial reporting. Focus on evolving data architecture in dbt and Snowflake, introducing useful AI automation, and partnering with the CFO and Finance leadership on audit-ready data foundations.
Location: San Francisco, CA, USA, with flexibility in how and where work is performed; interviews are conducted virtually.
Salary: $274,000–$417,000 per year.
Company
A global design technology company building a collaborative platform for creating and sharing visual content.
What you will do
- Lead distributed data scientists and analytics engineers embedded in Finance, setting technical standards and priorities.
- Own metric governance and the single source of truth for operational finance and investor reporting.
- Develop data models, pipelines, and metric definitions supporting FP&A forecasting, planning, Anaplan feeds, and board reporting.
- Partner with Accounting, Tax, and Investor Relations to improve data quality and automate financial reporting.
- Lead the evolution of Finance data architecture, including modelling standards, layer design, and orchestration patterns in dbt and Snowflake.
- Advise Finance leadership, including the CFO, on AI-ready data foundations and automation opportunities.
Requirements
- Experience leading distributed teams across time zones within a Finance function.
- Background in environments subject to SOX compliance or public-company reporting scrutiny.
- Strong understanding of data flows, pipelines, semantic layers, governance, and controls.
- Ability to write code, build data models, and explain analytical findings to CFO-level stakeholders.
- Strong communication skills across engineering teams and senior business leadership.
- Ability to make forecasting and planning data reliable and audit-ready.
Nice to have
- Financial modelling experience.
- Experience introducing AI and automation into Finance processes.
Culture & Benefits
- Flexible ways of working designed to balance individual and team needs.
- Equity package with company contribution to shared success.
- Health benefits and a 401(k) retirement plan with company contribution.
- Inclusive parental leave for all parents and carers.
- Annual allowance for wellbeing, social connection, and office setup.
- Flexible leave options and support for reasonable interview adjustments.
Hiring process
- Interviews are conducted virtually.
- Candidates may provide preferred pronouns and request reasonable adjustments during the interview process.
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