Databricks · 채용 중 794건
Director, Corporate FP&A
Director, Corporate FP&A
재무정규직시니어 · 10년 이상San Francisco
Databricks는 Corporate FP&A Director를 채용합니다. 재무 기획(FP&A) 및 재무 모델링 분야에서 10년 이상의 경력을 보유한 전문가를 찾습니다. 주요 업무는 전사적 장단기 재무 계획 수립, 자본 조달 지원 및 IPO 준비를 위한 프로세스 고도화입니다. SaaS 산업 경험자를 우대하며, 전략적 사고와 뛰어난 커뮤니케이션 역량이 필수입니다.
GAQ326R237
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is seeking a Director to join our Corporate FP&A team. Reporting to the Vice President of Corporate FP&A, this highly visible and impactful role that will be responsible for leading all core financial planning processes, including long range and annual planning processes. The Director will also support capital raising efforts in partnership with Finance leadership, and lead ad hoc projects and scenario planning to inform key business decisions.
Own all long and short term planning processes, including:
Define, implement, and scale best in class planning processes
Drive accountability across stakeholders through clearly defined roadmaps, timelines, and deliverables
Develop and maintain driver based financial models to optimize resource allocation and support strategic planning
Prepare executive ready materials, including financial models, scenario analyses, and presentations
Partner with Finance leadership to support capital raising efforts, collaborating cross functionally with FP&A, Investor Relations, and Treasury
Drive the development of Executive and Board reporting materials, ensuring accuracy and clarity of financial insights and clear storytelling
Recommend annual and quarterly guidance strategies for Board and Investor communications
Drive a clear vision for best in class Corporate FP&A processes to ensure IPO readiness
Lead ad hoc analyses and strategic projects to support senior Finance leaders, including Investor Relations
Identify and drive process and system optimization initiatives, including opportunities for automation
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$223,800—$307,650 USD
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.