Manager, Financial Planning & Analysis - Revenue

Salesforce•Indianapolis, IN

20d•Hybrid

About The Position

Salesforce is seeking a Manager to join the Corporate F&S Revenue team focusing on revenue forecasting, metrics, and reporting. This role partners closely across the F&S organization: F&S Go To Market (GTM), F&S Product, F&S Corporate and the Controllership organization to deliver accurate financial forecasting and insights. The role requires strong top-line forecasting skills coupled with a high degree of internal customer interaction across the broader finance organization.

Requirements

Extensive experience in Financial Planning & Analysis or a combination of Financial Planning & Analysis, Revenue Accounting or Financial Audit.
Substantial experience building and maintaining complex financial models
Strong communication, reporting, storytelling and presentation skills. Ability to building and maintaining relationships.
Ability to multi-task effectively in a fast-paced, quickly changing environment.
Self-starter who can navigate through ambiguity while aligning with business partners.
Use of Artificial Intelligence in daily work
Growth mindset & adaptable

Nice To Haves

Knowledge of software revenue recognition under ASC 606
Data & Analytics: advanced Snowflake/SQL, Tableau, Hyperion skills

Responsibilities

Own revenue forecast for a cloud and deliver high degree of forecast accuracy
Deliver revenue insights, explain revenue trends and forecast variances
Prepare impactful presentations that deliver messages clearly and engages audience.
Work closely with broader F&S Corporate team, F&S GTM, F&S Product and Controllership to understand impact of related processes on revenue results and forecast.
Partner closely with Corporate F&S counterparts on delivering short-term revenue forecast, highlighting risks & opportunities, and aligning on current remaining performance obligations (cRPO) and long-range revenue
Partner with Investor Relations providing insights related to external narrative.
Continuously improve the quality and accessibility of our data. Utilize data and data visualization skills to make processes and reporting more efficient.
Develop models and data solutions to contribute to achieving company’s strategy and goals.
Identify opportunities and implement automated solutions including use of artificial intelligence and machine learning.