Senior Delivery Operations Analyst
at Adobe
Posted 4 hours ago
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- Compensation
- $98,800 – $202,250 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Adobe is seeking a Senior Delivery Operations Analyst to build and manage a driver-based demand, revenue, capacity planning model for the Americas Services Delivery business. You will develop a scalable planning framework that aligns the sales pipeline and bookings signals with backlog, revenue burn, utilization, and hiring capacity, enabling leaders to make faster, data-backed decisions. You will collaborate with Finance, Operations, Sales, Delivery, Systems, and Analytics teams to drive governance, scenario modeling, and actionable insights. This role requires deep experience in strategic finance/FP&A and a proven ability to build driver-based models from scratch.
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
Ensure forecast logic reflects delivery motion differences that affect revenue recognition, such as Time & Materials burn, Fixed Price / Milestone-based delivery, Ratable, Percent Complete
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
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
Translate demand into capacity by converting forecasted revenue/burn into role-based supply needs, accounting for ramp time, attrition, skill mix, and billability assumptions
Provide insights into Billable vs. Productive Utilization, identify bench pockets and bottlenecks, and recommend rebalancing, redeployments, skills alignment, subcontractor usage before hiring
Support capacity planning with options such as subcontractors/partners, when appropriate, to meet demand without over-hiring
Model Governance, Data Quality & Standard Outputs
Build controls for data quality checks, reconciliation to finance actuals, and a transparent change log of assumptions and driver updates
Align with global partners to drive a standardized taxonomy for business metrics (headcount, utilization, backlog, burn, bookings) definitions to ensure clarity
Produce a consistent, executive-ready output (metrics, drivers, narrative, risks, recommended actions)
Tools, Systems & Automation Path
Primary build environment (near-term): Advanced Excel modeling with structured inputs/logic/outputs, auditable assumptions, and performance-optimized design
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
Partner with Data/BI teams to automate ingestion and publish repeatable views using SQL, with Tableau or Power BI
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
Experience building and maintaining driver-based models from scratch
Strong services business proficiency: backlog, burn, utilization, realization, margin and the operational drivers that move them
Technical Skills
Advanced Excel: builds scalable systems with structured design, dynamic drivers, robust controls, and advanced formulas
Forecasting techniques such as seasonality, ramp curves, regression, and sensitivity testing
SQL (preferred): ability to extract/validate inputs from CRM/PSA sources; comfortable with joins, aggregations, and data validation
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.
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.
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