Business Analyst – CRM, Dynamics 365
Sequoia Connect
AzureCloudERP
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudERP.NETPython
About the role
- Manage and coordinate the work of the AI team (ML, MLOps, Data, Azure development) to deliver high-impact projects
- Define and own the solution architecture for AI systems integrated into enterprise applications and digital platforms
- Translate business requirements and strategic objectives into actionable technical designs
- Oversee integration of ML models and AI services into enterprise applications, ensuring performance, security, and compliance
- Establish technical standards, best practices, and governance frameworks for AI delivery
- Act as the main technical liaison between business stakeholders and the AI engineering team
- Stay ahead of AI/ML trends and recommend practical adoption paths for PeopleCert
- Manage day-to-day work of the AI team, ensuring technical excellence, smooth collaboration, and alignment with the Head of AI Enablement's strategic vision
- Design end-to-end systems, guide implementation, and ensure solutions are scalable, secure, and business-driven
Requirements
- Bachelor’s degree in computer science, Engineering, or a related field (Master's degree considered a plus)
- 3+ years proven experience as a Solution Architect or Technical Manager in AI/ML-driven systems
- Strong knowledge of enterprise cloud and application architecture
- Familiarity with MLOps, ML frameworks, and data engineering best practices
- Hands-on experience integrating AI into enterprise-grade applications (ERP, CRM, digital platforms, or equivalent)
- Strong leadership skills with experience managing cross-functional technical teams
- Excellent communication ability to work across business and technical domains
- Excellent knowledge of English (C2 level certification desired; LanguageCert C2 LTE or C2 IESOL certificate a plus); extra languages desired
- Advanced computer literacy required (ECDL Advance level certification desirable)
- Excellent written and verbal communication skills
- Excellent analytical thinking and problem-solving abilities
- Nice-to-have: Experience with LLMs, prompt engineering, and orchestration frameworks
- Nice-to-have: Familiarity with regulatory compliance (GDPR, ISO standards, EU AI Act)
- Nice-to-have: Background in software development (C#, .NET, Python) to bridge architectural and hands-on work
