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Ecareer

Känner du att detta är ett uppdrag för dig? Ansök idag för att se till att du är med på resan för att forma dina framtida kollegor!

AI Trainer - Finance Department

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteMid LevelTeam 2-10

Location

Sweden

Posted

38 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

AI Trainer - Finance Department

Ecareer

Role Description We are seeking an AI Trainer specializing in the Finance function. The trainer will design and deliver practical learning programs that help employees, managers, and functional specialists use AI responsibly in day-to-day work. This role is centered on building practical capability tied directly to real Finance workflows, rather than delivering generic AI instruction. The trainer will collaborate with: - CFOs - Controllers - FP&A teams - Accounting - Treasury - Procurement - IT - Audit - Business unit leaders Training will align with: - Reporting workflows - Budgeting and forecasting - Invoice and expense processing - Variance analysis - Cash-flow monitoring - Audit support - Responsible AI usage across finance-related processes Mission of the Role: To help Finance teams identify where AI can add value, understand how to use it safely, and integrate it effectively into everyday work. The trainer will strengthen confidence, reduce uncertainty, and provide actionable methods participants can apply immediately. Each session should combine business context, live examples, guided exercises, and clear guidance for responsible AI usage. Core Responsibilities - Design and deliver AI training programs for Finance employees, managers, specialists, analysts, and senior stakeholders. - Develop department-specific workshops, learning paths, exercises, prompt templates, role-based scenarios, and workflow demonstrations. - Train on practical AI use cases connected to reporting workflows, budgeting and forecasting, invoice processing, variance analysis, cash-flow monitoring, audit support, and financial controls. - Present generative AI concepts, prompt design, workflow integration, output review, and human-in-the-loop decision-making in clear, business-focused language. - Facilitate remote workshops, hybrid programs, live sessions, on-site bootcamps, and executive briefings as required. - Create training materials such as slide decks, participant guides, quick-reference sheets, assignments, quizzes, adoption checklists, and manager toolkits. - Partner with implementation teams, IT, security, legal, and functional leaders to ensure training reflects approved tools and governance standards. - Evaluate training outcomes using participant feedback, adoption metrics, skill assessments, and business impact indicators. Qualifications - Experience in AI training, corporate learning, enablement, consulting, digital transformation, or specialized work within Finance. - Strong understanding of reporting workflows, budgeting and forecasting, invoice and expense processing, variance analysis, cash-flow monitoring, and financial controls. - Ability to explain AI concepts in clear, practical language while maintaining professional precision. - Experience facilitating remote, hybrid, or on-site workshops for professional audiences. - Capability to create exercises, templates, examples, and demonstrations that participants can apply in their daily work. - Knowledge of accuracy, confidentiality, auditability, financial governance, and responsible AI usage in finance-related decisions. - Strong communication, facilitation, classroom management, and stakeholder alignment skills. - Ability to work effectively with global participants across different cultures, time zones, and experience levels. How to Apply Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact. Portfolio material, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate. The selection process will evaluate practical capability, communication quality, business judgment, and the ability to make AI useful in real departmental workflows.

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