Transforming tech workforce strategy for a Hudson based Fortune 250 financial services leader
Discover How Draup’s Talent Intelligence Accelerates Tech Workforce Transformation for a $106B Financial Leader
About the Company
A Fortune 250 financial services enterprise specializing in insurance, protection solutions, and digital-first customer experiences, the company is undergoing a large-scale modernization effort across data, engineering, cloud, and cybersecurity. With 9,000+ employees and $106B in revenue, it is accelerating AI-enabled operations and distributed tech workforce models across the United States.
Before Draup
1
Fragmented Tech Talent Visibility
Lacked a unified view of U.S. tech talent supply, competitiveness, and specialization across critical domains.
2
Unclear Hub & Location Strategy
Needed data-backed clarity on scalable U.S. hubs, co-hubs, and Centers of Excellence
3
Evolving Digital Skills & Career Pathways
Rapid shifts in AI, cloud, and automation required clearer role evolution and structured pathways from data roles to consultant positions.
4
Limited Pipeline & University Ecosystem Insights
Insufficient visibility into STEM talent outputs across U.S. MSAs and universities hindered long-term workforce planning.
The Core Challenges
Standardize job families and skills taxonomies to enable consistent tech workforce planning.
Identify scalable U.S. tech hubs by balancing capability depth, cost, and growth potential.
Develop clear career pathways aligned to emerging AI, data, and engineering roles.
Strengthen STEM talent pipelines through improved visibility into university ecosystems.
The Solution
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Outcome
Unified Digital Workforce Strategy
Delivered comprehensive, data-backed insights into gender representation, attrition drivA data-backed framework now guides hub selection, hiring competitiveness, and long-term capability planning.ers, and talent availability across Australia’s major tech hubs.
Prioritized U.S. Tech Hubs
Identified scalable tech hubs like Dallas, Austin, Chicago, and Seattle, while enabling targeted leadership presence in New York.
Future-Ready Skills Architecture
A standardized taxonomy of traditional and emerging AI-centric skills supports hiring, reskilling, and capability building.
Accelerated Career Mobility
Structured 6–7 month learning pathways enable transitions into high-impact consulting roles, improving retention and internal mobility.
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