Head / Manager of Data & AI

About Rovo Group

Rovo Group is one of Europe’s fastest-growing apparel production platforms, combining

premium sourcing expertise with a next-generation digital stack. We operate three business units:

• Rovo - Full-cycle development & manufacturing for fashion brands

• Assembly - Custom merchandise with a seamless digital creation process

• Index - Direct-to-consumer essentials with superior materials and fit

You’ll partner across all three, with a strong focus on Assembly’s digital platform and Rovo’s production workflows.

Role Overview 

As Manager of Data & AI, you will lead and actively build Rovo’s AI and data capabilities. This is a hands-on role focused on designing, prototyping, and deploying AI systems, intelligent agents, and automation workflows that drive measurable business impact.

You will own the execution of AI initiatives across the company while ensuring a reliable, scalable data foundation. You are expected to spend a significant portion of your time building, not just managing.

Your mission is to turn AI into a practical execution layer that increases speed, reduces manual work, and enhances decision quality across Product, Operations, Finance, Sales, and Supply Chain.

Depending on the candidate’s experience, the role may be positioned at Manager or Head level.

Key Responsibilities

1. AI Systems & Agents

• Build and deploy LLM-based applications and AI agents (RAG, tool-calling, multi-step workflows).

• Develop internal copilots and automation pipelines.

• Ensure reliability, monitoring, and guardrails.

2. Workflow Automation & Process Optimization

• Replace manual workflows with AI-driven solutions.

• Automate reporting, QA, and operational tasks.

• Scale successful automations across teams.

3. Data Infrastructure & Quality 

• Maintain and optimize the data warehouse (BigQuery/Snowflake).

• Manage SQL pipelines and ensure data quality.

4. Business Partnering & Execution

• Turn business needs into practical AI solutions.

• Prioritize high-impact initiatives and deliver measurable outcomes.

5. Measurement & Impact

• Define technical standards and best practices.

• Define standards and track ROI (time saved, efficiency, cost impact).

Preferred Qualifications (Must-have/Nice-to-have)

Must-Have

• 6 - 10 years in data, AI, analytics, or engineering roles.

• Proven hands-on experience building AI-powered workflows or LLM applications.

• Strong experience with:

  • LLM APIs (OpenAI, Anthropic)

  • Prompt engineering and structured outputs

  • RAG systems

  • Tool-calling / agent frameworks (LangChain or similar)

• Strong SQL expertise and experience with modern data warehouses.

• Experience integrating APIs and automating workflows.

• Strong problem-solving and execution mindset.

• Fluent in English.

Nice-to-Have

• Proficiency in Python for AI and automation.

• Experience with vector databases and semantic search.

• Experience with dbt, Looker, or BI tools.

• Background in high-growth or operationally complex environments.

• Experience designing evaluation frameworks for LLM systems.

Benefits & Working Conditions

• Health insurance coverage.
• Flexible work schedules that promote work-life balance. 
• Generous allocation of 26 vacation days per year.
• Collaborative and supportive work environment.
• Opportunity for professional growth and development.
• Modern and well-equipped office space in a convenient location.