This role operates at the intersection of business systems analysis and data expertise, focusing on AI and Data initiatives within an Engineering as a Service framework. The ideal candidate will possess a strong data and cloud background, with prior involvement in related projects.

We are seeking an individual adept at collaborating with both business and technical stakeholders to articulate and refine requirements. A key aspect of this position involves contributing to the establishment and ongoing enhancement of Azure-based data solutions, including ADLS, Databricks, and SQL environments.

Your responsibilities will include supporting data modeling efforts for raw and consumption layers, ensuring the integrity and usability of data. You will define data quality standards and metadata strategies to meet both functional application needs and critical legal/compliance tracking requirements.

Furthermore, you will partner closely with engineers to specify data inputs and outputs. This involves defining and monitoring key performance indicators (KPIs) that drive business decisions and measure success. Producing high-quality documentation, such as business requirements and functional specifications for data-driven initiatives, is also a core expectation.

Exceptional written, verbal, and presentation communication skills are essential for this role. The ability to clearly convey complex information to diverse audiences will be paramount.

Strong familiarity with cloud data platforms, particularly Azure, and related technologies like ADLS, Databricks, and SQL is required. Experience in defining data quality metrics and metadata management is also crucial. This position demands a proactive approach to requirement gathering and documentation.