Director, Workforce Intelligence Architect

Responsibilities
Atlassian's mission is to unleash the potential of every team - and that starts with our own.
As Director, Workforce Intelligence Architect, you'll bring together the data, the models, and the narrative to help our leaders make thoughtful, confident decisions about how work gets done at Atlassian. You'll define how human talent and AI capability work together - as a living, evolving strategy that keeps pace with where the business is going.
Shape Our AI Workforce Strategy
Define how AI creates opportunities to elevate human work at Atlassian, focusing on how we redefine the unit economics of resourcing.
Stay ahead of how AI capabilities are evolving and translate those shifts into clear implications for how work gets done and where capacity is needed across the organization.
Build the foundational frameworks that help our leaders make consistent, informed decisions about when and where to deploy human talent versus AI capability across the organization, approaching these decisions with rigor and a people-first lens.
Partner with senior People and business leaders to connect workforce strategy to enterprise priorities, shaping how we structure and invest in our teams for an AI-enabled environment.

Build & Operate the Strategic Workforce Modeling Program
Design and maintain integrated capacity models and planning capabilities that helps Atlassian plan confidently across a range of futures, from varying rates of AI adoption to shifts in business strategy.
Partner with key stakeholders such as Lighthouse and Workforce FP&A to evolve how we plan and account for the full cost of work - modeling both employee costs and AI/token spend as a unified view of how Atlassian invests in getting work done.
Lead org effectiveness analysis including spans and layers, structural scenarios, and role design to ensure we're organized in ways that maximize impact, innovation, and efficiency.
Leverage Atlassian's own products and AI-powered tools to build, manage, and continuously improve the workflows and systems that underpin our workforce strategy.

Turn Complexity into Clarity
Translate sophisticated workforce models and scenario analyses into sharp, executive-ready narratives that give leaders the confidence to make well-informed decisions.
Define and track the metrics that matter including capacity shifts, role evolution, productivity signals, and AI impact, and use them to continuously sharpen the strategy.
Maintain a sharp external perspective on AI capability trends, labor market dynamics, and emerging org design thinking, bringing relevant benchmarks and market intelligence into our planning approach.

Qualifications
AI-native and analytically rigorous with experience in quantitative analysis, investing, consulting, or similar environments. You instinctively use AI to accelerate analysis, build and pressure-test models, sharpen assumptions, and translate ambiguous workforce questions into clear, actionable recommendations.
Deep experience in both headcount/capacity planning and org design. You understand how structure and capacity decisions are interconnected and tell a richer story together.
Background in tech. You understand the pace, scale, and cultural dynamics of a high-growth technology company.
Demonstrated experience building workforce models and scenarios that integrate talent, financial, and operational data to drive senior-level decisions.
Strong analytical and modeling skills. You build, pressure-test, and evolve complex workforce and financial models, shaping how data is structured and interpreted, not just consumed.
Executive storytelling. You turn complex analysis into clear, compelling narratives that resonate with senior audiences and drive action.
Systems thinker. You connect structure, capacity, cost, and capability into a coherent, forward-looking picture across functions and time horizons.
Comfortable with ambiguity. You build structure where none exists, make sound decisions with incomplete information, and bring others along with you.
Meaningful engagement with AI-enabled workforce strategy and the practical implications of human and AI capability as an integrated planning challenge.

Skills Required
AI-native and analytically rigorous experience (quantitative analysis, investing, consulting, or similar)
Deep experience in headcount/capacity planning and organizational design
Background in technology companies and understanding of high-growth tech dynamics
Demonstrated experience building workforce models integrating talent, financial, and operational data
Strong analytical and modeling skills with ability to build and pressure-test complex models
Executive storytelling skills to communicate complex analysis to senior audiences
Systems thinking connecting structure, capacity, cost, and capability across time horizons
Comfortable working with ambiguity and building structure from incomplete information
Meaningful engagement with AI-enabled workforce strategy and practical human+AI planning implications