Business Intelligence and Automation Lead

The Business Intelligence and Automation Specialist will establish frameworks and standards for Data, Business Intelligence (BI), and Automation/AI within Artifex. This role combines strategic leadership with hands-on expertise to mature these technologies across the organisation, ensuring they deliver measurable business value. The position requires strong engagement with internal stakeholders and collaboration with external partners to accelerate innovation and adoption. Key responsibilities include:

• Define and implement frameworks and standards for Data, BI, and Automation/AI.

• Drive the maturity and adoption of data-driven and automated solutions across Artifex.

• Partner with internal stakeholders and external vendors to deliver innovative solutions.

• Ensure alignment of BI and automation initiatives with business objectives and growth ambitions.

Main missions and results

• Develop and maintain enterprise-wide standards for data management, BI, and automation.

• Lead the design and implementation of BI dashboards, reporting tools, and analytics platforms.

• Establish governance for data quality, security, and compliance.

• Drive automation initiatives leveraging AI and machine learning technologies.

• Collaborate with business units to identify opportunities for BI and automation to create value.

• Negotiate internally on trade-offs e.g. cost vs value, speed vs compliance, obtaining buy-in on subsequent actions.

• Utilise intermediate-advanced problem solving skills to drive projects forward past blockers.

• Engage with external partners to bring best practices and innovative solutions to Artifex.

• Provide thought leadership and training to build organisational capability in data and automation.

• Monitor and report on the performance and impact of BI and automation initiatives.

Measures of success to include:

• Framework Adoption - % of business units adhering to defined standards.

• BI Utilisation - number of active users and frequency of dashboard/report usage.

• Automation Impact - reduction in manual processes and efficiency gains.

• Data Quality - improvements in accuracy, completeness, and timeliness of data.

• Innovation Enablement - number of AI-driven solutions implemented.

• Stakeholder Satisfaction - feedback scores from internal and external partners.

Do you have experience in Tableau?, * Proficiency in Microsoft Power BI for dashboard development and data visualisation.

• Experience with Power Automate to develop and manage enterprise workflows.

• Familiarity with other BI tools such as Tableau or Qlik Sense is desirable.

• Advanced skills in Python for automation, data manipulation, and integration with APIs.

• SQL knowledge for querying and managing relational databases.

• Exposure to R for statistical analysis and modelling (optional).

• Experience with Azure Data Services (Data Factory, Synapse, Logic Apps) and/or other major cloud platforms such as AWS or Google Cloud.

• Knowledge of Snowflake or similar cloud-based data warehousing solutions.

• Hands-on experience with ETL tools such as Informatica, SSIS, or equivalent for data pipeline development.

• Familiarity with RPA platforms (e.g., UiPath, Automation Anywhere) for process automation.

• Exposure to AI/ML frameworks (Azure ML, scikit-learn) for predictive analytics and advanced insights.

• Understanding of data governance principles, compliance frameworks, and secure data handling practices.

• Certifications associated with data management, analytics and automation.

Note: this is not an exhaustive list. All employees are expected to show flexibility and continued self-development to meet the ever-changing needs of the business. All job descriptions / vacancy notices will be subject to continual development.