At SXSW London, our vision is clear – To make informed business decisions using qualified data derived from our core systems including but not limited to HubSpot, Google Analytics, E-Commerce (Web shop), Website and various middleware components. Reporting to our CFO and Director of IT, you will own the programme pipeline for developing our data architecture strategy, including translation of our goals and objectives into enriched data dashboards. You will define and direct SXSW London's target data architecture (inc. shared data environments, data model and standards) in support of our business strategy, ensuring that data is accurate, secure and accessible to meet the needs of senior executives and department heads.
This role would be FTC for about 3 to 4 months.
Onsite (Shoreditch) and remote working arrangement.
Key Responsibilities / Accountabilities
* Accountable for the data architecture & design, including implementation of enterprise-wide data models, governance frameworks, and architectural standards.
* Develop architectural solutions resulting in a single source of truth data lake warehouse, utilising Power Bi with built-in AI design considerations.
* Lead the design and development of scalable data pipelines and solutions, which support our event operations across our customer journey and channels.
* Collaborate with stakeholders and external technology partners to promote consistent and value driven data usage.
* Ability to logically model marketing and financial data.
* Communicate the value of data management, through workshops and proof of concepts in partnership with business and technology partners
* Develop data architecture governance and standards, regarding data models and capabilities
* Connect disparate sources to provide seamless data access
* Define KPI and Metrics for data dashboard
* Map existing data sources and identity data access points
* Create dedicated stakeholder UAT group for continuous output assessment
* Build an executive dashboard
* Configure integration and workflows
* Create automation and refresh schedules
* Setup training and confidence workshops
* Development on Azure/AWS - Strong knowledge on Data Warehousing and Data Lakes
* Integrating ML and AI into dashboard reporting
Required
* Strong experience in Data Management and Analytics in Google and Azure.
* Experience of Information Security and GDPR, privacy and compliance regulations.
* Data Modelling and Machine Learning expertise.
* Proven experience in enterprise-scale data modelling (conceptual, logical, physical).
* Excellent analytical, planning, organisational and technical and skills along with excellent written and verbal communication skills.
If this sounds like the role for you please contact with your CV and use the Job Title as your subject line.