Workforce Planning and Talent Defense Across Global and European Markets

Discover how Draup enabled a unified view of global talent supply, skill evolution, competitor positioning, talent flow, and emerging competitive threats across a complex, multi-function workforce spanning four continents.

~67,000

Employees

~$20B

Revenue

Health Technology / MedTech

Industry

Amsterdam, Netherlands

Headquarters

About the Organization

A global health technology enterprise operating across imaging, diagnostics, patient monitoring, and personal health solutions with a large, specialized commercial and clinical workforce across the United States and key global markets. Its Clinical Education and Training function plays a central role in supporting healthcare professionals, field sales teams, and clinical specialists, making talent quality and org design within this function strategically important.

The Core Challenges

Cross-Functional Skill Visibility

The organization sought a structured, unified view of skill evolution spanning traditional, continuing, and emerging skill clusters across five workforce personas to inform both hiring priorities and reskilling investment.

Location Strategy and Hiring Difficulty

Evaluating focused hiring locations demanded more than headcount data. The organization needed multi-dimensional scoring across growth rates, attrition, demand-supply ratios, cost of living, gender diversity, and compensation benchmarks.

Talent Flow and Attrition Risk

Key roles including Software Development Engineer and Software Technologist had seen elevated attrition in India, with talent transitioning to peers in healthcare technology, enterprise IT, and industrial technology sectors — creating a need for clearer visibility into movement patterns to inform retention and sourcing decisions.

Emerging Competitive Threat in Europe

A key competitor recorded 21% workforce growth and 94% revenue growth in H1 2025, actively hiring across 16 European countries with lateral hires predominantly drawn from the organization — underscoring the urgency of a structured competitive intelligence view.

The Solution

DevOps Engineer

PROFILE

LOCATION ANALYSIS

TALENT MARKET INSIGHTS

CAREER PATHS

TECH STACK

The image is for representational purpose only.

Skill Taxonomy & Workforce Architecture

Job role taxonomies were built across five Tech functions — Software Engineering, IT, AI & Data Science, Product Engineering, and R&D — plus Marketing & E-commerce and Quality & Regulatory. Skills were classified as declining, continuing, or emerging based on 2022–2025 CAGR analysis, with Cybersecurity and DevOps as the fastest-accelerating traditional skills and Generative AI and Agentic AI as rising peer priorities.

Global Hotspot and Location Analysis

Using a 1B+ profile database, hotspots were scored on installed talent, growth rate, attrition, and hiring difficulty. India ranked as the strongest tech hiring location; Pune and Belo Horizonte as the highest-favorability markets. Bangalore and Boston were flagged for elevated demand-supply pressure despite their pool size.

Multi-Persona Competitor Benchmarking

Eight peers across the MedTech and health technology landscape were benchmarked on installed talent, growth rates, in-demand roles, and skill trajectories. Software Development Engineer and Technologist roles in India recorded the highest attrition; Field Service Engineer and System Engineer roles in the US recorded net gains.

European Competitive Landscape Analysis

A fast-growing imaging competitor’s 300-strong European workforce was profiled across function splits, hiring demand, and expansion strategy across 16 countries. Of 40 professionals sourced laterally from leading MedTech companies, 17 came directly from the organization — with an EVP comparison confirming stronger positioning on stability, governance, career resilience, and ecosystem breadth.

Outcome

Structured Skill and Workforce Architecture Established

The organization gained a taxonomy-level view of job roles and skill trajectories across all five analyzed personas, differentiating declining, continuing, and emerging skills to guide both hiring and reskilling investment. CAGR-based analysis spanning 2022–2025 underpinned this framework.

Location Strategy Precision-Calibrated

Multi-dimensional location scoring enabled the organization to prioritize hiring markets with confidence. Pune and Belo Horizonte were confirmed as the most favorable tech hiring locations; India was validated as the leading global hotspot across analyzed personas.

Talent Flow and Retention Risk Quantified

Three years of movement data identified the specific roles and geographies most exposed to attrition, and the peer companies capturing outbound talent — enabling targeted retention investment and more precise lateral sourcing strategies.

Competitive Talent Threat Mapped and Prioritized

The analysis revealed the organization as the single largest talent source for a key competitor’s European expansion, with highest exposure concentrated in Clinical Application Specialist, Field Service Engineer, and Product Specialist roles across Poland, Germany, France, and the UK — equipping talent and employer branding teams with a clear foundation for targeted differentiation.

Powered by unparalleled global labor & market data

27K+

Skills

1B+

Professionals

6100+

Locations

1.7M+

Peer Group Companies

1B+

Job Descriptions

4M+

Career Paths

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.