招聘
福利待遇
•Equity
必备技能
Excel
Forecasting
Financial modeling
Revenue operations
Capacity planning
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity:
We are looking for a Senior Delivery Operations Analyst, to join our dynamic team at Adobe. This outstanding role goes beyond traditional reporting. You will build and manage a driver-based demand, revenue, capacity planning model and additional supporting analysis for our Americas Services Delivery business. You will develop a scalable planning framework that aligns sales pipeline and bookings signals with backlog, revenue burn, utilization, and hiring capacity. This framework enables leaders to make faster, data-backed decisions. You'llcollaborate closely with Finance, Operations, Sales, Delivery, Systems, and Analytics teams - come be part of our dynamic operations team!
What You’ll Do
Demand Modeling & Revenue Forecasting:
-
Model the end to end flow by maintain connection points (Bookings > Backlog > Revenue Burn > Revenue Forecast) with clear driver logic and traceability
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Ensure forecast logic reflects delivery motion differences that affect revenue recognition, such as Time & Materials burn, Fixed Price / Milestone-based delivery, Ratable, Percent Complete
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Own monthly variance drivers, focusing on Backlog Burn Rates, Book-to-Bill, start-date shifts, utilization changes, and mix impacts, and update forward assumptions with detailed rationale
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Scenario modeling by building “what-if” capabilities based on pipeline conversion, start timing, ramp curves, utilization targets, etc. to pressure-test outcomes and inform leadership decisions
Capacity & Workforce Planning:
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Translate demand into capacity by converting forecasted revenue/burn into role-based supply needs, accounting for ramp time, attrition, skill mix, and billability assumptions
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Provide insights into Billable vs. Productive Utilization, identify bench pockets and bottlenecks, and recommend rebalancing, redeployments, skills alignment, subcontractor usage before hiring
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Support capacity planning with options such as subcontractors/partners, when appropriate, to meet demand without over-hiring
Model Governance, Data Quality & Standard Outputs
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Build controls for data quality checks, reconciliation to finance actuals, and a transparent change log of assumptions and driver updates
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Align with global partners to drive a standardized taxonomy for business metrics (headcount, utilization, backlog, burn, bookings) definitions to ensure clarity
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Produce a consistent, executive-ready output (metrics, drivers, narrative, risks, recommended actions)
Tools, Systems & Automation Path
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Primary build environment (near-term): Advanced Excel modeling with structured inputs/logic/outputs, auditable assumptions, and performance-optimized design
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Work with data sources such as CRM signals (e.g., Salesforce, Dynamics, Clari pipeline stages/velocity), Professional Services Automation (PSA) and Resource Management systems, Finance actuals and reporting
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Partner with Data/BI teams to automate ingestion and publish repeatable views using SQL, with Tableau or Power BI
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Collaborate with Ops tooling initiatives to reduce manual effort and improve visibility as we scale
What You’ll Need to Succeed
Experience & Background (Required)
-
10 years in Strategic Finance, FP&A, Revenue Operations, or Professional Services Operations within Tech/SaaS/Consulting
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Experience building and maintaining driver-based models from scratch
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Strong services business proficiency: backlog, burn, utilization, realization, margin and the operational drivers that move them
Technical Skills:
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Advanced Excel: builds scalable systems with structured design, dynamic drivers, robust controls, and advanced formulas
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Forecasting techniques such as seasonality, ramp curves, regression, and sensitivity testing
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SQL (preferred): ability to extract/validate inputs from CRM/PSA sources; comfortable with joins, aggregations, and data validation
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BI familiarity (preferred): Tableau / Power BI concepts (metrics, semantic definitions, dashboards, refresh cycles)
Working Style / Attributes
We seek a systems thinker who can build models with governance, documentation, controls, and clear definitions. You should be a structured operator who can turn ambiguity into a repeatable monthly rhythm and decision-ready outputs. As a confident partner, you communicate insights clearly, challenge assumptions with data, and collaborate effectively across global teams, Finance, Sales, and Delivery.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $98,800 -- $202,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $139,700 - $202,250
In Illinois, the pay range for this position is $121,300 - $175,600
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC base commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices: California:
Fair Chance Ordinances:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodationsadobe.com or call (408) 536-3015.
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关于Adobe

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
员工数
San Jose
总部位置
$126B
企业估值
评价
2.9
2条评价
工作生活平衡
3.0
薪酬
3.2
企业文化
2.5
职业发展
2.3
管理层
2.5
25%
推荐给朋友
优点
Competitive base salary for new graduates
Good entry-level compensation in major markets
Established company with financial stability
缺点
Limited skill transferability to other tech stacks
Unclear compensation competitiveness
Negative reviews and limited information about AEM
薪资范围
751个数据点
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
L2 · Business Operations L2
0份报告
$209,219
年薪总额
基本工资
$83,688
股票
$104,610
奖金
$20,922
$146,453
$271,985
面试经验
3次面试
难度
3.3
/ 5
面试流程
1
Application Review
2
Online Assessment (HackerRank)
3
Technical Interview
4
Coding Rounds
5
System Design Interview
6
Behavioral Interview
7
Team Matching
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
GenAI/ML Concepts
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