AI & Data Solutions Lead (GCP)

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe, focusing on consulting, engineering, and talent development.

• 2–3 years in dimensional modeling, semantic layers, and modern ELT/ETL patterns.
• Strong experience in building AI agents on Google Cloud (Vertex AI, Gemini Enterprise Agent) with evaluation and monitoring.
• Proficiency in Python for data/AI development and C#.NET for automation.
• Familiarity with workflow automation platforms (Power Automate, Copilot Studio), dashboards (Power BI/Tableau), and APIs.
• Strong understanding of finance domain processes and controls.
• Data visualization and storytelling expertise.
• Strong project management and stakeholder engagement capabilities.
• Ability to bridge Finance and AI delivery, applying an AI-First approach.

Nice to have:

• Google Professional ML Engineer Certification.
• Lean Six Sigma Green Belt.
• Experience with international finance and multi-entity environments.

• Design, develop, and deploy AI agents using Vertex AI and Gemini Enterprise capabilities (agent frameworks, managed runtimes).
• Build automation tools and scalable services using Python and C#.NET, applying engineering best practices.
• Develop smaller automations using Power Automate and Copilot Studio.
• Architect data pipelines and semantic layers, ensuring a single source of truth for analytics and AI use cases.
• Write and optimize SQL on platforms like BigQuery and deliver governed datasets for reporting and AI workflows.
• Build interactive dashboards with Power BI or Tableau supported by a governed semantic layer.
• Translate Finance processes and requirements (AP, AR, GL, Treasury, Intercompany) into technical designs and AI-driven workflows.
• Lead requirements gathering and solution design sessions with finance and IT stakeholders.
• Communicate technical trade-offs and architecture decisions clearly to both technical and non-technical teams.
• Manage delivery plans, risks, and milestones with predictability.
• Own production readiness and ongoing monitoring for AI agents and reporting solutions.