AI Transformation Lead

Harvey Nash; Brussel Hoofdstad; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Harvey Nash is seeking an Enterprise AI Transformation Lead for software engineering to spearhead AI integration across the full Software Development Life Cycle. You will assess current processes, design an AI-powered transformation roadmap, and drive adoption of automation, modern engineering practices, and measurement of impact.

You will collaborate with engineering leaders, architects, Agile coaches, product managers, and business analysts to scale successful AI initiatives into

Qualifications

• 7+ years in software delivery or related leadership roles.
• Experience leading engineering transformation or change management programs in enterprise environments.
• Proven ability to collaborate with senior stakeholders and multiple engineering teams.

Responsabilités

• Lead AI-driven transformation of software engineering across the SDLC.
• Analyze current software development processes to identify bottlenecks and automation opportunities.
• Develop and execute a strategic AI/automation roadmap for engineering delivery.
• Drive adoption of modern engineering approaches (Specification-Driven Development, Agentic AI).
• Scale AI initiatives from pilots to enterprise-wide standards.
• Collaborate with Tribe Leads, Engineering Managers, Architects, Agile Coaches, Product Managers, and Operations teams.
• Tailor transformation initiatives to the maturity and context of different teams.
• Promote AI adoption across Product Management, Business Analysis, DevOps, and QA.

Connaissances

SDLC mastery

CI/CD

AI-assisted development

Agentic AI

Specification-Driven Development

Engineering productivity

Agile methodologies

Change management

Stakeholder management

Leadership

Description du poste

Enterprise AI Transformation Lead (Software Engineering)

Job Summary

We are hiring an Enterprise AI Transformation Lead for a leading organization in the financial services industry.

In this strategic role, you will lead the transformation of software engineering practices by embedding Artificial Intelligence across the entire Software Development Life Cycle (SDLC). You will assess existing engineering processes, identify opportunities for optimization, and drive the adoption of AI, automation, and modern engineering methodologies to improve software delivery, quality, and developer productivity.

Working closely with engineering leaders, architects, Agile Coaches, and cross-functional teams, you will define and execute a long-term AI transformation roadmap while ensuring solutions are adapted to the maturity and needs of different engineering teams.

Key Responsibilities

• Lead the organization's AI-driven transformation of software engineering practices across the entire SDLC.
• Analyze current ("As-Is") software development processes to identify bottlenecks, manual effort, inefficiencies, and opportunities for automation.
• Develop and execute a strategic roadmap that combines AI, automation, and process re-engineering to improve engineering efficiency and delivery quality.
• Drive the adoption of modern engineering approaches, including Specification-Driven Development, Agentic AI, and AI-assisted software development practices.
• Scale successful AI initiatives from pilot projects into enterprise-wide engineering standards.
• Collaborate with Tribe Leads, Engineering Managers, Architects, Agile Coaches, Product Managers, Business Analysts, Developers, QA Engineers, and Operations teams.
• Adapt transformation initiatives to the specific technical maturity, legacy constraints, and business context of different engineering teams.
• Promote AI adoption across the complete software lifecycle, including:
• Product Management
• Business Analysis
• Software Development
• Quality Assurance & Test Automation
• DevOps & Operations
• Monitor emerging AI technologies and software engineering trends, evaluating their relevance and business value.
• Organize workshops, hackathons, bug bash events, demonstrations, and knowledge-sharing sessions to encourage AI adoption across engineering teams.
• Define success metrics focused on engineering productivity, software quality, delivery speed, and business value.

Required Experience

• 7+ years of experience in software delivery, including roles such as:
• Software Engineer
• Business Analyst
• QA/Test Engineer
• DevOps Engineer
• Technical Product Manager
• Engineering Lead
• Experience leading engineering transformation, Agile transformation, or change management initiatives.
• Strong experience analyzing and improving software engineering processes.
• Experience working within complex enterprise software environments.
• Experience collaborating with multiple engineering teams and senior stakeholders.

Required Technical Skills

• Strong understanding of the complete Software Development Life Cycle (SDLC)
• Software engineering best practices
• CI/CD pipelines
• AI-assisted software development
• Agentic AI concepts
• Specification-Driven Development
• Process improvement and workflow optimizationSoftware delivery transformation
• Engineering productivity optimization
• Agile methodologies
• Change management
• DevOps practices
• Test automation
• Software architecture fundamentals
• AI adoption strategies for engineering organizations
• Understanding of regulated or financial technology environments is an advantage

Soft Skills

• Strategic thinking
• Strong analytical and problem-solving skills
• Excellent stakeholder management
• Leadership and influencing skills
• Outstanding communication and presentation abilities
• Ability to translate technical concepts into business value
• Collaborative mindset
• Resilience and adaptability
• High level of initiative and ownership
• Strong facilitation and coaching skills

Ideal Candidate Profile

You are an experienced software engineering leader with a strong understanding of modern software delivery practices and a passion for leveraging AI to improve engineering productivity. You are equally comfortable discussing technical challenges with developers and presenting strategic initiatives to senior leadership. You thrive in large-scale transformation environments and can successfully balance innovation with practical implementation in complex enterprise ecosystems.