Director of Engineering Data & AI | Nordics

For the role of Director of Engineering – Nordics in a Data & AI Services organization, is a combination of technical leadership, delivery ownership, client engagement, people leadership, and regional growth.

Key Roles & Responsibilities

1. Engineering & Technology Leadership

• Define and drive the engineering strategy for the Nordics Data & AI business.
• Lead the architecture and delivery of modern Data, AI, Cloud, and Analytics solutions.
• Establish engineering standards, best practices, reusable frameworks, and quality processes.
• Provide technical direction across Data Engineering, AI/ML, Data Platforms, GenAI, Analytics, and real-time data solutions.
• Stay current with emerging technologies and identify opportunities to bring innovation to clients.
• Drive adoption of modern data platforms and technologies, including Databricks, cloud platforms, AI/ML, and GenAI.

2. Delivery & Customer Success

• Own technical delivery quality across the Nordics portfolio.
• Partner with customers and stakeholders to understand business challenges and translate them into scalable technology solutions.
• Act as a senior technical advisor for strategic customers and complex engagements.
• Ensure projects are delivered with high standards of quality, security, performance, and scalability.
• Support delivery teams in resolving complex technical and architectural challenges.
• Establish governance around delivery, technical risks, dependencies, and project quality.

3. Pre-Sales & Business Growth

• Partner with Sales and Account Management teams to drive Data & AI consulting and services growth across the Nordics.
• Lead technical discussions, discovery workshops, solutioning, RFP/RFI responses, and client presentations.
• Develop compelling technical proposals and solution architectures aligned with customer business outcomes.
• Identify opportunities for new engagements, expansions, and transformation programs within existing accounts.
• Build trusted relationships with CTOs, CIOs, CDOs, and other senior technology stakeholders.

4. People & Engineering Organization

• Build and lead a high-performing Data & AI engineering organization across the Nordics.
• Recruit, develop, mentor, and retain strong engineering and architecture talent.
• Define career paths, competency frameworks, and technical growth opportunities.
• Create a culture of engineering excellence, collaboration, innovation, and continuous learning.
• Develop future technical leaders and architects within the organization.
• Work closely with global engineering teams to create a unified delivery and engineering culture.

5. Practice & Capability Development

• Build and scale Data & AI capabilities based on market and customer demand.
• Develop reusable accelerators, frameworks, methodologies, and industry solutions.
• Strengthen expertise across areas such as:
• Data Engineering & Modern Data Platforms
• Databricks / Lakehouse
• Cloud Data Architecture
• AI & Machine Learning
• Generative AI & AI Agents
• Data Analytics & Visualization
• Real-Time Data & Streaming
• Data Governance & Quality
• Establish partnerships with key technology providers and ecosystem partners.

6. Regional Leadership

• Represent the engineering organization and Data & AI capabilities across the Nordic region.
• Develop relationships within the Nordic technology and data community.
• Participate in industry events, customer forums, conferences, and technology communities.
• Identify emerging market trends and translate them into new service offerings and capabilities.
• Collaborate with global leadership to align Nordic priorities with the broader company strategy.

Ideal Candidate Profile

• 18+ years of experience in software/data engineering, architecture, or technology leadership.
• 8+ years in an engineering leadership, architecture leadership, or senior technology management role.
• Strong experience delivering Data & AI transformation programs for enterprise customers.
• Deep understanding of modern data platforms, cloud technologies, AI/ML, and GenAI.
• Strong Databricks/Lakehouse experience is highly desirable.
• Proven experience managing and scaling engineering teams.
• Strong client-facing and executive communication skills.
• Experience in pre-sales, solutioning, RFPs, and technology consulting.
• Commercial mindset with an understanding of professional services and consulting businesses.
• Ability to operate strategically while remaining hands-on enough to guide complex technical decisions.
• Experience working across distributed/global teams.
• Nordic market experience and/or an established network in Sweden, Norway, Denmark or Finland would be a strong advantage