Technical Solutions Lead (Agentic AI & Data)

Experis is a global leader in recruitment of specialists and management staff in key IT areas. They offer competitive employment opportunities and interesting IT projects for both experienced experts and those starting their careers in IT.

• Solid understanding of finance processes including intercompany transactions, AP, AR, general ledger and treasury operations
• Knowledge of financial workflows, controls, compliance and ability to interpret financial data
• Experience in dimensional data modelling, semantic layers and ELT or ETL patterns for analytics and AI use cases
• Experience building AI agents on Google Cloud with monitoring and evaluation capabilities
• Understanding of agentic AI concepts such as tool usage, grounding, monitoring and safe integration into business processes
• Experience with Looker or similar semantic layer tools to implement governed metrics and business logic
• Strong programming skills in Python including API integration, data processing, testing and production deployment
• Experience with C#.NET or Power Query for automation and tool development
• Experience with Power Automate, AI Builder or Copilot Studio for workflow automation and AI agents
• Advanced Excel skills including Power Query, PivotTables and complex formulas
• Expertise in Power BI or Tableau and strong data visualization and storytelling skills
• Experience working with cloud data platforms such as BigQuery and system integrations via APIs
• Ability to collaborate with IT teams on system configurations and access management
• Strong experience in requirement gathering and translating business needs into technical solutions
• Experience managing project documentation such as PID, BRD, solution and technical design documents
• Excellent communication skills for engaging stakeholders at all levels
• Ability to bridge finance domain knowledge with data engineering and AI delivery
• Strong problem solving skills with an AI first mindset
• Ability to work in cross functional environments with changing priorities
• Experience documenting processes, solutions and technical specifications

• Lead the design and delivery of agentic AI solutions on Google Cloud using Vertex AI and Gemini Enterprise Agent Platform capabilities
• Architect and build scalable services and automation using C#.NET or Python applying engineering best practices such as unit testing, CI/CD, code reviews and secure by design approaches
• Design validation rules and automated exception handling for reconciliations, data quality checks and controls across the data lifecycle
• Develop workflow automations and AI agents using Power Automate and Copilot Studio for smaller initiatives
• Deliver executive ready analytics solutions using Power BI or Tableau with a governed semantic layer and consistent metrics
• Develop and enhance semantic layers using Looker and Python including business logic, metric definitions and dimensional models
• Write and optimize SQL for data transformations and curated datasets supporting reporting and AI workflows
• Perform advanced data analysis and provide actionable insights aligned with finance controls and operational realities
• Automate reporting and decision support workflows integrating dashboards and AI agents with enterprise systems
• Ensure data accuracy, consistency and integrity across reports and dashboards
• Collaborate with IT teams on system configurations including Oracle, Anaplan and Siebel
• Translate business and technical requirements into system setup and access needs and support validation through SIT and UAT
• Lead discovery sessions with stakeholders to identify automation opportunities and capture end to end processes
• Translate finance requirements into technical specifications covering data pipelines, semantic layers and AI workflows
• Communicate architecture, trade offs and risks clearly and influence decision making across stakeholders
• Own delivery planning including scope, milestones and dependencies in partnership with project teams
• Provide technical leadership and coaching on semantic modelling, pipelines and agentic solution design
• Manage risks proactively and ensure timely delivery of milestones