Ready to Join the Backstage Crew?

At Bleckmann, we’ve been delivering on promises since 1862. As a market leader in supply chain management for fashion and lifestyle brands, we keep the show running behind the scenes — from moving boxes to moving data, from pack & ship to IT and HR.

But we’re not just logistics experts. We’re The Backstage Crew — a tight-knit team of 6,500+ people who make fashion and lifestyle brands shine by doing the work that matters most, out of the spotlight but never out of impact.

Whether you're on the warehouse floor or behind a screen, you’ll find:

Strong connections with colleagues who support and celebrate you.
Fast growth in a company that’s expanding across Europe, the US, and Asia.
High energy in a dynamic environment where no two days are the same.
Guided freedom to take initiative, solve problems your way, and grow your career.

We believe in entrepreneurship, expertise, excellence, and engagement — and we live these values every day. From repairing returned goods to reducing waste, we help brands extend product lifecycles with sustainability in mind.

So if you’re ready to roll out the red carpet for our clients — and for each other — we’ve got a spot for you.

Behind the scenes is where the real excitement begins. Ready to join us?

Tasks and responsibilities:

The Team

You will be part of the Business Development group and reporting directly to the Chief Business Development Officer. Our mission is to uncover and predict trends, patterns, and opportunities across new and existing clients. The insights we generate are critical for informed decision-making and are delivered through dashboards and analytical reports.

To support the expansion of our AI capabilities, we are looking for an AI Solutions Lead to deliver and expand a high-impact lead classification and scoring model in co execution with an external partner. This role marks the beginning of building a strong internal AI practice, and you will be central in both owning the existing model and steering future AI initiatives across our business development organization.

Your Responsibilities

As the AI Solutions Lead, you will be responsible for the ownership, enhancement, and integration of our AI models into production environments. You will collaborate closely with BI, Analysts, Engineers, and Business Stakeholders within business development to ensure the continued relevance and performance of the AI solutions.

You will:

Lead and maintain the delivery of an AI-based lead classification and scoring model that is co-created with an external party.
Ensure model performance through validation, retraining, and deployment best practices.
Translate business goals into machine learning use cases and AI-powered solutions.
Coordinate with internal teams to integrate and expand the model into business processes and data pipelines.
Act as a key driver for scaling AI adoption in other parts of the business.
Identify, prioritize, and lead additional AI and ML initiatives across the organization.
Ensure ethical and compliant AI usage aligned with data governance and quality standards.
Present insights and progress to technical and non-technical stakeholders.

AI Model Ownershio & Development (50%)
Activities:

Take ownership of an existing AI lead scoring/classification model delivered by consultants.
Monitor, validate, and enhance model performance through regular retraining and optimization
Expansion of model with new features by managing and coordinating data and engineering experts.
Ensure integration of the model into data pipelines and business processes.

Scope of Authority:

Authorized to manage the full model lifecycle including changes, improvements, and deployment strategies.
Make decisions on retraining cycles, feature engineering, and model evaluation metrics.

Performance Indicators:

Model accuracy and business alignment (e.g., improved conversion rates or lead quality).
Reduction in manual lead qualification efforts.
Timely delivery of updates and enhancements.

Cross-Functional Collaboration & Business Alignment (25%)
Activities:

Collaborate with Data Engineers, Analysts, and Business Stakeholders to deliver and align model outcomes with business goals.
Translate business requirements into AI/ML problems and vice versa.
Present findings and recommendations to both technical and non-technical audiences.

Scope of Authority:

Empowered to represent AI capabilities in cross-functional meetings.
Lead conversations around feasibility, business value, and prioritization of AI solutions.

Performance Indicators:

Stakeholder satisfaction with AI solution outcomes.
Successful integration of model insights into sales and marketing operations.
Frequency and quality of knowledge transfer sessions or presentations.

Driving AI Strategy & Innovation (25%)
Activities:

Identify and lead new AI/ML initiatives within the organization, with a dominant focus on new business and client retention.
Promote the use of best practices in AI development, governance, and ethical considerations.
Evaluate and experiment with new tools (e.g., AutoML, MLOps platforms).

Scope of Authority:

Authorized to propose and prototype AI solutions aligned with strategic goals.
Lead discussions on model governance, scalability, and long-term roadmap.

Performance Indicators:

Number and impact of new AI initiatives successfully piloted or launched.
Alignment of AI strategy with company priorities.
Development of center of expertise on AI & governance within the organization

Adherence to AI governance and quality standards.

Profile:

REQUIREMENTS
Technical competencies

You have strong proficiency in Python and SQL for data manipulation, modeling, and scripting.
You have hands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch.
You have experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.
You are familiar with data pipeline orchestration tools such as Airflow or dbt.
You have a good understanding of data modeling, data warehouses (e.g., Snowflake, Redshift), and API integrations.
Fluency in English (Dutch is a plus).

Personal qualities & skills

You are proactive, analytical, and have a problem-solving mindset.
You work hands-on, independently, and are comfortable taking ownership of projects.
You are capable of translating business problems into data-driven solutions.
You are a strong communicator and can bridge the gap between technical teams and business stakeholders.
You are adaptable, collaborative, and thrive in a fast-paced, agile environment.
You are able to coach junior data scientists or engineers.
You are passionate about AI and continuously seek to stay up-to-date with new tools and techniques.

Experience & Education

You have a Master’s degree in AI, Data Science, Computer Science, Engineering, Business Information Management, Business administration or a related field.
You have 3–5 years of experience in developing, deploying, and managing AI/ML models in production.
You have proven experience in leading & implementing AI projects and working cross-functionally with both business and technical teams.
Proven ability to drive change in the organization & scale the adoption of AI solutions.

Nice to have

Proven experience in delivering AI/ML models into production, classification or scoring domains are a plus.
Previous involvement in setting up internal AI capabilities or CoEs (Centers of Excellence).
Experience with visualization tools such as Tableau or Power BI.
Familiarity with data governance, security, and version control best practices.

At Bleckmann, we are guided by our values: We take a parachute and jump (Entrepreneurship), we unpack our knowledge (Expertise), we raise the bar with every box (Excellence), and we spark energy that connects (Engagement).