Director, Capacity Planning - Human & AI, Strategic Modeling

New York, NY Open
Salesforce is looking for Director, Capacity Planning - Human & AI, Strategic Modeling in New York, NY. This local job opportunity with ID 3641001481 is live since 2026-04-17 10:48:16.

Overview

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. We are looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentforce is the future of AI, and you are the future of Salesforce.

The Agentic Workforce Strategy & Innovation team sits at the intersection of AI agents and the reimagination of how work gets done. We are looking for a Senior Manager of Strategic Modeling who functions as our Lead Architect for capacity. You will move the organization away from linear headcount tracking toward a multi-dimensional labor model that prioritizes value-per-task over cost-per-hire, viewing the workforce as a dynamic system of human and digital capabilities.

What You'll Deliver

  • The Integrated Capacity Blueprint

    Own the design and evolution of the enterprise's first integrated capacity model—treating human headcount and digital agents/AI as a single, optimizable system.

  • Design and deploy a "Unified Labor Taxonomy" that allows for apples-to-apples performance and cost comparisons between human labor and AI agents.

  • Establish the enterprise's first set of "Human-AI Collaboration" benchmarks to guide executive-level hiring and augmentation decisions.

  • Predictive Simulation & Forecasting

    Build and maintain a 3-year "What-If" simulation engine that forecasts the impact of AI agent deployment on global headcount requirements across every major Business Unit.

  • Translate abstract AI capability shifts into concrete workforce supply and demand adjustments.

  • Identify "Margin-to-Labor" calibration opportunities, pinpointing over-provisioned human roles that should be augmented or transitioned to digital labor to protect enterprise margins.

  • Strategic Narrative & Insight

    Distill complex capacity data into a clear leadership narrative; ensure the VP layer understands not just the "how many," but the "who, what, and where" of our future workforce.

  • Identify and surface structural risks before they impact our ability to execute the Innovation Roadmap.

  • Foundational Data Architecture

    Establish a unified "Workforce Data Cloud" that integrates employee, contingent, and digital worker information into a single source of truth for all strategic planning functions.

  • Enable multi-dimensional data slicing across organizational structures, job taxonomies, and cost centers, with the flexibility to incorporate new metrics before they are formalized in systems of record.

  • Provide self-service access through AI-fronted interfaces to query complex datasets using natural language for rapid analysis.

  • Ensure high data integrity and validity to maintain executive trust, while enabling drill-down from strategic hypotheses to individual record-level details.

  • Integrate external market intelligence to benchmark internal workforce costs, geography, and talent accessibility against global trends.

  • Your Toolkit: Skills That Will Drive Impact — Labor Economics & Financial Rigor

    You have an expert-level ability to model Total Cost of Ownership (TCO) for both human and digital resources, including the hidden costs of reskilling and technical debt.

  • You understand how large enterprise budget cycles work and can defend a capacity model to a CFO with data-backed confidence.

  • Quantitative Mastery

    You are fluent in the tools of modern data architecture—SQL, Python, or advanced BI platforms—and can wrangle fragmented task-level data into clean, strategic inputs.

  • You bring a "Product Mindset" to data, building models that are scalable, repeatable, and user-friendly for non-technical stakeholders.

  • Foresight & Business Acumen

    You can zoom out to see how global AI trends affect our specific business model, and zoom in to see which teams are ripe for redesign.

  • You move fast in ambiguous environments, making high-judgment calls on data inputs even when perfect information doesn't exist.

  • How We Expect You to Use AI

    Model the behavior you're building toward. You are expected to be a daily, active user of AI tools—leveraging agents and assistants to manage your own workload and accelerate your modeling output.

  • Agentic Modeling. You will leverage AI to run simulations on labor demand, identifying risks and opportunities that manual spreadsheets miss.

  • Automated Data Synthesis. Use LLMs to ingest and summarize fragmented task-level data from across the enterprise. You're not just automating old work; you're architecting new ways of seeing the workforce.

  • 10x Efficiency. You are expected to use AI to automate 80% of routine data cleaning and report formatting, shifting your time entirely to high-value strategic analysis and architectural design.

Equal Opportunity & Basic Information

Salesforce is an equal opportunity employer. What does that mean exactly? It means that at Salesforce, we believe in equality for all. The typical base salary range for this position is $164,000 - $261,500 annually. In select cities, the base salary range may be higher. This range represents base salary only and does not include bonus, equity, or benefits. Salesforce offers a variety of benefits to help you live well. This section also notes that Salesforce uses AI tools in the recruiting process and that candidates have rights regarding data and privacy. Details about company benefits can be found on the Salesforce benefits site.

In the United States, compensation offered will be determined by factors such as location, job level, knowledge, skills, and experience.

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Required Skills