Position Summary
We are seeking a proactive, business-oriented Business Partner - Data & AI to drive the adoption of data, analytics, Artificial Intelligence and digital technologies across the organization.
This role partners closely with Commercial, Supply Chain and Corporate Functions to understand business priorities, identify opportunities for improvement, translate business challenges into technology solutions, and work with regional technology, data engineering and AI teams to deliver scalable solutions.
While Data & AI will be a key focus, the role will also support broader digital transformation, process improvement, automation and business technology initiatives based on evolving business priorities.
The ideal candidate combines strong business acumen with practical knowledge of data analytics, modern cloud data platforms and emerging AI technologies, together with the curiosity and adaptability to work across a broader technology landscape.
This role is suited to an individual with 3-5 years of experience who enjoys solving business problems using data and technology and is looking to grow into a strategic business technology role.
Key Responsibilities
- Partner with Commercial, Supply Chain and Corporate Functions to understand business priorities, challenges and opportunities where data, AI, digital solutions and technology can improve business performance.
- Translate business requirements into practical and scalable technology solutions.
- Identify opportunities where analytics, machine learning, Generative AI, automation and emerging technologies can improve business outcomes.
- Work closely with regional technology, data engineering, analytics and AI teams to design and deliver scalable solutions.
- Support the implementation of dashboards, self-service analytics, data products, AI use cases and digital solutions.
- Support broader business technology and digital transformation initiatives where required, including process digitization, automation, system integration and improvement of existing business applications.
- Develop business cases, define success metrics and measure business value from technology initiatives.
- Coordinate solution design, testing, user acceptance, deployment and post-implementation activities.
- Manage multiple initiatives and priorities concurrently, working across business and technology teams.
- Drive user adoption through stakeholder engagement, communication, change management and training.
- Promote high standards of data governance, data quality and business ownership of data assets.
- Stay current with emerging technologies and recommend practical applications relevant to the business.
- Foster a culture of continuous improvement, digital adoption and data-driven decision-making across the organization.
Qualifications & Experience
- Bachelor's degree in any discipline. Qualifications in Computer Science, Information Systems, Business Analytics, Data Science, Engineering, Mathematics, Statistics or Business are advantageous.
- Relevant professional certifications or practical experience in data, analytics, AI or digital technologies will be viewed favorably.
- 3-5 years of experience in Data Analytics, Business Intelligence, Applied Data Science, Data Engineering, AI Solutions, Digital Transformation, Business Technology or related areas.
- Demonstrated experience partnering with business stakeholders to identify problems and deliver technology-enabled solutions.
- Experience coordinating initiatives across business and technology teams.
- Experience working in Agile or similar project delivery environments is preferred.
Technical & AI Skills
Essential
- SQL
- Python - basic to intermediate proficiency for data analysis and automation
- Power BI or equivalent Business Intelligence tools
- REST APIs and JSON
- Data modelling concepts
- Data visualization and storytelling
- Basic statistics
- Understanding of cloud-based data platforms
- General understanding of enterprise applications, integrations and business processes
Preferred
- Azure Data Factory
- Azure Data Lake
- Databricks
- Microsoft Fabric
- Azure AI / Azure OpenAI
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- AI Agents and workflow automation
- Prompt engineering
- Power Platform / Power Automate or equivalent automation technologies
- Exposure to ERP, CRM, Supply Chain or other enterprise business applications
Deep technical expertise across all areas is not expected. The successful candidate should be able to understand business problems, learn new technologies quickly and work effectively with specialist technology teams to deliver solutions.
Competencies
- Strong business acumen with a commercial mindset.
- Excellent stakeholder management and influencing skills.
- Ability to understand business processes and identify opportunities for improvement through data and technology.
- Ability to translate business problems into data, analytics, AI and broader technology opportunities.
- Ability to communicate technical concepts clearly to non-technical audiences.
- Strong analytical, structured problem-solving and critical-thinking skills.
- Ability to manage multiple priorities and work across different types of initiatives.
- Curious, adaptable and passionate about emerging technologies.
- Self-motivated with strong ownership and execution.
- Collaborative team player with a continuous-improvement mindset.
Success Measures
- Measurable business value delivered through Data, AI and digital initiatives.
- Increased adoption and sustained usage of data, analytics and AI solutions.
- Improved business decision-making through trusted data and analytics.
- Successful delivery of high-value technology initiatives aligned with business priorities.
- Improved business processes through digitization, automation and technology.
- Strong collaboration between business teams and regional technology teams.
- Ability to effectively manage a portfolio of Data & AI and broader business technology initiatives.
