SVP - Business Transformation & Technology

Overview

This role is not only about technology governance-it's about reshaping how the company operates, scaling efficient processes globally, and embedding AI into workflows, customer interactions, and employee productivity to accelerate growth and competitiveness.

• Reports to CEO
• Current team: 35 people / distributed in 7 countries
• Flex location in Graitec countries
• English mandatory (work in English)

Key Responsibilities 1. Business Transformation & Process Optimization

• Lead a multi year business and process transformation program across all entities and functions (sales, services, delivery, finance, logistics, support, product) to increase efficiency, quality, and scalability.
• Work with business leaders to drive and monitor the change.
• Use AI and automation to eliminate manual work, enhance decision making, and streamline operations.

2. Data Governance, Analytics & Insights

• Secure a clean and unified data architecture enabling accurate, real time insights.
• Establish strong data governance: data quality, ownership, lineage, and accessibility.
• Develop modern analytics capabilities (BI, predictive analytics, AI powered dashboards) to support strategic decision making.

3. Global IT Strategy & Architecture

• Define and execute a scalable IT strategy aligned with transformation objectives.
• Ensure consistent architecture across ERP, CRM, cloud, SaaS platforms, and software product environments.
• Standardize tools, platforms, and processes to reduce complexity and IT costs.

4. AI Strategy, Integration & Enablement

• Define the company's global AI strategy for both internal operations and customer facing activities with.
• Identify high value AI use cases (e.g., customer success activities, customer support automation, predictive sales, pricing optimization, code assistants, intelligent workflows, delivery optimization).
• Oversee deployment of AI platforms (GenAI, copilots, automation tools, ML models), ensuring security, scalability, and ethical use.
• Promote AI adoption in collaboration with HR through training, change management, and best practices.

5. Cybersecurity & Risk Management

• Own the global security posture and ensure robust protection of data, infrastructure, and SaaS platforms.
• Implement modern security frameworks (Zero Trust, identity management, secure DevOps).
• Lead crisis response and compliance programs, including GDPR and industry standards.

6. IT Operations & Service Excellence

• Oversee global IT operations, ensuring reliable infrastructure, helpdesk performance, and workplace experience.
• Optimize vendor and partner ecosystems supporting both VAR and Software activities.
• Implement high quality SLAs and service delivery models across the international footprint.

7. Collaboration With Product & Engineering

• Align internal IT platforms with the needs of software product teams (DevOps, cloud hosting, security).
• Support the development and operation of SaaS products through shared technology capabilities and AI infrastructure.
• Foster collaboration between IT, engineering, and R&D to accelerate innovation.

8. Leadership & Change Management

• Lead an international IT organization with strong business orientation.
• Promote a culture of innovation, continuous improvement, and AI adoption.
• Drive organizational change, ensuring smooth transitions to new tools and processes.

Required Experience & Profile Education

• Master's degree in Information Systems, Engineering, Computer Science, or Business.
• Certifications in AI, digital transformation, enterprise architecture, or cybersecurity appreciated.

Professional Experience

• 10-15 years of leadership in IT or digital transformation.
• Strong experience in process transformation, Lean/Six Sigma, or business architecture.
• Proven record in AI adoption, automation, or data driven transformation programs.
• Experience in both VAR / distribution ecosystems and software / SaaS environments is a major plus.
• Demonstrated success in international, multi site organizations.

Key Competencies

• Strategic thinking and strong business acumen.
• Deep understanding of AI technologies and their practical applications.
• Process oriented mindset with strong ability to simplify and standardize.
• Talent development, communication, and change leadership.
• Ability to challenge the status quo and drive cross functional alignment.

Success Indicators / KPIs

• Adoption and impact of AI use cases across business units.
• Reduction of manual workload through automation.
• Efficiency gains through redesigned and standardized processes.
• Data quality, accessibility, and usage across teams.
• On time delivery of transformation roadmap milestones.
• Improvement in customer satisfaction (NPS), internal operational KPIs, and employee productivity.
• Global harmonization and rationalization of the toolset.