Senior AI Business Analyst

Description of project:

For one of our German clients we are looking for an experienced AI Business Analyst.

Tasks:

- Lead discovery workshops and end-user interviews to uncover and document true customer needs

- Collaborate with cross-functional teams to gather, document, and analyse business requirements for AI projects.

- Creation and maintenance of key artefacts such as Empathy Maps, Use Personas,

- Through close business consultation, owns the clarity and direction of specific analytical investigations, projects and requests for substantial change, always mindful of the wider strategy

- Balance an innovative mindset with technical considerations throughout, working with the team to build feasibility prototypes which in turn can be efficiently leveraged for wider scaling and impact

- Business end-user support, training, creating training materials and change management in relation to understanding and intercepting key principals a user centric design approach

- Translate unstructured business problems into workable & valuable solutions, effectively communicating results of complex models to both senior and non-technical stakeholders as well as presenting results on analyses using a variety of methods and tools to maximise understanding

- Responding to business requests for ad-hoc analysis and higher analytics, own the design, development, and maintenance of ongoing analysis to drive intelligent, well informed business decisions

- Assist in the testing and validation of AI solutions to guarantee that they meet business needs and specifications.

- Support Product Owners within the business to interpret findings and the creation of a robust and living Solution Backlog, presented as User Stories.

- Drive AI strategy internationally by providing users across the business with applications, examples, coaching and KPIs to empower our ability to be agile and customer centric

Qualifications:

- 5+ years relevant experience of Business Analysis with large corporations

- Degree with academic courses in a quantitative field such as Computer Science, Statistics, Mathematics, etc.; higher education such as a master’s or PhD is a plus Demonstrable experience in successfully applying methodologies including Design Thinking, Six Sigma & Human-Centered Design

- Proficiency in requirement gathering, documentation, and project management tools.

- CBPP from the ABPMP or similar qualification is high advantageous

- Experience in Life Sciences, Healthcare & Pharmaceuticals highly advantageous

- Proficient in reading programming languages, specifically Pyspark/Python and/or R; higher proficiency is advantageous

- Advanced modelling skills with experience in building linear dimensional, regression based, and logistic models

- Experience with Palantir Foundry & AIP is advantageous

- Experience with agile methodologies is a plus.