Join our dynamic team as a Deputy Manager in Business Analysis, focusing on AI & Data solutions within an Engineering as a Service/Operate model. This role is pivotal in bridging the gap between business needs and technical execution, particularly concerning advanced data platforms and cloud infrastructure.

You will operate as a key Business Systems Analyst, leveraging a strong foundation in data and cloud technologies. Your expertise will be instrumental in defining and evolving our Azure-based data lake, Databricks, and SQL environments. A core aspect of this role involves partnering effectively with both business stakeholders and technical teams to translate requirements into actionable solutions.

Key responsibilities include defining requirements for establishing and evolving Azure-based data lake solutions (like ADLS) and Databricks platforms. You will also be responsible for supporting data modeling, encompassing raw and consumption layers, and defining data quality and metadata strategies to meet functional and compliance needs.

Collaborate closely with engineers to specify data inputs and outputs vital for defining and monitoring Key Performance Indicators (KPIs). Produce high-quality documentation, including comprehensive business requirements and functional specifications, tailored to data-driven objectives. Exceptional written, verbal, and presentation communication skills are essential for success in this collaborative environment.

We seek a candidate with a strong data and cloud focus, ideally with prior familiarity with relevant initiatives. The ability to partner effectively with business and technical teams to define requirements for Azure-based data lake, Databricks, and SQL is crucial. Experience in supporting data modeling, including raw and consumption layers, is expected.

Candidates should be capable of defining data quality and metadata to support both application functionality and legal/compliance requirements. Strong familiarity and proven ability to produce high-quality documentation, such as business requirements and functional specifications for data-driven needs, are mandatory. Excellent written, verbal, and presentation communication skills are a must.