Senior Delivery Operations Analyst
Adobe8 LocationsPosted 1 March 2026
Job Description
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 ... (truncated, view full listing at source)
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