- Type
- Internship
- Department
- Finance
- Seniority
- Senior
- Experience
- 8+ years
Description
GAQ426R237
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Overview:
Databricks is seeking a Senior Manager, Finance PMO and Operations, with a specialized focus on FP&A. You will be responsible for driving organization, transformation, innovation, and operational efficiency at scale, as well as managing key programs across global Finance teams within the CFO organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.
You will partner with teams across the Finance organization, including various FP&A teams (Corporate, GTM, Product, etc.) and partners within the broader CFO org. In addition, you will collaborate with cross-functional teams such as IT, People, Engineering, Product, Go-to-Market, and Pricing. You will own project and program management, including OKR setting, process optimization, transformation roadmaps, and organizational management and communications on behalf of the FP&A team.
Your passion should be collaborating with FP&A and other cross-functional partners to drive programs for efficiency and transformative change across the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements. You will also leverage AI and emerging technologies to improve Finance workflows and optimize our team’s work, enabling smarter decision-making, predictive insights, and scalable automation across core Finance processes.
The impact you will have:
- FP&A Project and Program Management:
- Facilitate the annual FP&A goal and OKR setting process and track/drive the execution of those goals
- Streamline and own planning, intake, and prioritization processes across FP&A on key priorities related to Data and AI, systems enhancements and process improvements, ensuring alignment with the Company and Finance team’s goals and strategy
- Manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams
- FP&A Process Optimization:
- Collaborate with FP&A teams to document and evaluate existing FP&A processes
- Drive end-to-end FP&A process optimization and standardization, leading the re-architecting of processes as necessary ensuring success criteria and metrics are achieved, and stakeholder enablement is completed
- Partner with cross-functional and internal Finance teams to implement scalable, automated solutions leveraging our Databricks product as well as AI and machine learning tools where applicable
- FP&A Organizational Management and Communications:
- Support the design and buildout of an FP&A organization that supports Databricks’ growth
- Facilitate recurring FP&A leadership meetings and FP&A all-hands meetings, including creating agendas and content
- Lead executive communications and reporting to ensure transparency on project progress, risks, and outcomes
What we look for:
- Bachelor’s degree in Business, Finance, or related field
- 8+ years of experience working in or with FP&A teams
- 8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation
- Expertise in program management, executive communications, reporting, and metrics
- Experience implementing or managing AI and automation tools within Finance organizations
- Expertise in planning, OKRs, and QBRs
- Experience in process improvement and optimization
- Proficiency with JIRA, project management tools, and reporting systems
- SaaS industry experience is a plus
- SQL or Python experience is a plus
- Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides
Pay Range Transparency
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.
Pay Range Transparency
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.
Pay Range Transparency
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.
About Databricks
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, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
