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Your Career
We are seeking a visionary and hands-on leader to establish and scale our Finance Analytics function. The Director Finance Analytics will be a key partner to the finance leadership team responsible for leading a high-performing multi-disciplinary team to manage and deliver accurate reporting and deliver actionable insights that drive strategic decision-making across the function.
This is a unique opportunity for a player-coach who is passionate about building from the ground up. You will not only set the vision and strategy for finance analytics but also roll up your sleeves to guide your team in creating a robust data foundation and delivering critical reporting and analysis. You will be at the forefront of our data-driven culture championing the use of AI and advanced analytics to unlock new levels of financial and operational excellence.
Your Impact
Strategic Partnership: Collaborate closely with senior finance leaders to understand their strategic priorities and translate them into a clear roadmap for the Finance Analytics team.
Team Leadership & Development: Build and manage a world-class team comprising data engineers product managers and a new team of finance analysts. Foster a culture of excellence collaboration and continuous learning embracing a partnership model with the finance organization.
Player-Coach Mentality: Act as a hands-on leader providing guidance and mentorship to your team on everything from data architecture and engineering to data modeling and analysis.
Financial Reporting & Insights: Own the end-to-end process for finance reporting ensuring accuracy accessibility and timeliness. Move beyond standard reporting to deliver deep-dive analyses and predictive insights that inform key business decisions.
Qualifications :
Your Experience
Proven Leadership Experience: 10 years of experience in data and analytics with at least 5 years in a leadership role preferably in a fast-paced enterprise software environment.
Multi-Disciplinary Team Management: Demonstrated experience leading and mentoring diverse teams that include data engineers data analysts and product managers.
Nice to Have:
Some background in data science with prior experience in application of ML modeling methods for finance use cases (ex: ML based revenue forecasting)
Prior experience working in companies undergoing a transition from a contract-based to a subscription-based pricing model.
Deep Financial Acumen: A strong understanding of financial principles reporting and planning.
Broad Analytics Background: Proven experience leading data functions in at least two of the following areas: finance go-to-market (GTM) and enterprise analytics.
Technical Expertise:
Hands-on experience with modern data stacks (e.g. GCP)
Proficiency with BI and data visualization tools (e.g. Tableau).
A strong understanding of data modeling data architecture and ETL processes.
Strategic Mindset: The ability to think strategically and translate business needs into technical requirements and actionable insights.
Excellent Communication Skills: The ability to communicate complex data concepts to both technical and non-technical audiences including executive leadership.
Additional Information :
The Team
Our shared mission to safeguard our digital way of life unites and drives us. You will join a multinational team building data and data science solutions to unlock significant business potential and boost productivity by resolving complex data problems. This involves developing innovative algorithms predictive models conducting advanced statistical analysis and engineering scalable data pipelines. Your work will ultimately lead to data products and actionable insights that empower decision-making across the organization. You will be at the forefront of leveraging cutting-edge technologies and methodologies.
We believe in using AI to amplify not replace human intellect. We expect you to champion this mindset. You and your team will leverage the best tools availablefrom generative AI for code and analysis to agentic data science frameworksto accelerate your impact.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Compensation Disclosure
The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Full-time