Role OverviewWe are seeking an experienced AI Solution Architect to lead the design and execution of enterprise-wide AI solutions across both Commercial and Operations functions. This role will serve as a strategic bridge between business priorities and advanced AI capabilities, driving measurable business outcomes through scalable and integrated solutions.The role will play a critical part in shaping the organization’s AI strategy, leveraging the Microsoft ecosystem (Azure AI, Dynamics 365, Power Platform, Teams, Outlook) alongside enterprise systems such as SAP ERP, to unlock value across revenue growth, operational efficiency, and decision intelligence.
Key Responsibilities:
1. Drive Revenue Growth & Commercial Excellence
Design and deploy AI-driven capabilities such as: Lead prioritization models, Opportunity scoring and pipeline intelligence, Next-best-action recommendations
Improve sales productivity through workflow automation and intelligent insights
Build integrated commercial analytics across CRM, marketing, and customer datasets
Enable visibility into pipeline health, conversion metrics, and forecast performance
2. Strengthen Forecasting & Business Analytics
Develop advanced forecasting models using historical, market, and behavioural data
Standardize key commercial KPIs across regions and business units
Build scalable self-service analytics layers for business teams
Establish strong data governance frameworks ensuring accuracy, lineage, and transparency
3. Optimize Supply Chain & Operations
Implement AI-led demand planning and predictive analytics models
Improve inventory management through optimized policies and planning parameters
Develop simulation models for supply-demand and capacity planning
Partner with manufacturing and supply chain teams to embed predictive insights into decision-making
4. Reduce Supply Chain & Logistics Costs
Build optimization models for: Transportation and routing; Network design and logistics planning
Identify key cost drivers and efficiency opportunities in supply chain operations
Implement early-warning systems for disruptions and delays
Recommend data-driven improvements in planning cycles and network efficiency
5. Architect Enterprise AI Ecosystem
Define and govern enterprise-wide AI architecture across: Commercial systems (CRM, marketing tools); Operations systems (ERP, manufacturing platforms)
Establish robust integration patterns across ERP, CRM, and collaboration platforms
Design scalable, secure, and governed data pipelines
Standardize data models, taxonomies, and semantic layers across functions
6. Lead Adoption & Change Management
Drive enterprise-wide AI adoption through: Role-based training programs; Communication strategies and playbooks
Build and manage a network of business champions
Track adoption metrics, value realization, and performance impact
Partner with business leaders to drive process transformation and behavioural change
Key Stakeholders:
Growth & Innovation Teams
IT & Digital Functions
Commercial Leadership
Manufacturing & Supply Chain Teams
OpCo General Managers
Corporate Functions (Finance, HR)
Scope:
Selection of AI models, solution architecture, and analytics approaches
Technology stack decisions within Microsoft and Azure ecosystem
MLOps strategy, deployment, and release cycles
Prioritization of technical scalability and system improvements
Business case development and AI investment decisions
Data governance, privacy, and compliance alignment
KPI definition and process design with commercial and operations leaders
Qualifications & Experience:
Education
Bachelor’s degree in computer science, Data Science, Engineering, or related field
Master’s degree preferred
Experience
10–15+ years in AI/analytics, solution architecture, or enterprise data platforms
Proven experience in deploying AI solutions at scale in enterprise environments
Strong exposure to Microsoft ecosystem (Azure AI, Power Platform, Dynamics 365)
Experience working with ERP systems (SAP preferred)
Background in manufacturing, supply chain, or operations analytics is highly desirable
Technical & Functional Expertise:
AI/ML model development and deployment
Data modelling, integration frameworks, and automation
Commercial analytics and sales pipeline optimization
Supply chain analytics and optimization techniques
Cloud architecture (Azure) and MLOps practices Why This Role Matters:
This role is pivotal in transforming the organization into a data-driven, AI-enabled enterprise—unlocking value across revenue growth, customer engagement, and operational excellence while establishing a scalable and future-ready AI foundation.
