Overview
We are seeking a Technical Business Analyst with expertise in AI and data transformation for a strategic role in a large-scale data initiative. This remote position involves collaborating with diverse teams to enhance data quality and governance and to facilitate business adoption of AI solutions. The contractor will lead user acceptance testing and work closely with operational leaders to ensure seamless integration of data initiatives.
Responsibilities
- Conduct data validation and quality assurance processes.
- Define and document high-level process taxonomies and the conceptual data model.
- Produce detailed test scripts, scenarios, and Given-When-Then acceptance criteria.
- Facilitate user acceptance testing (UAT) cycles with operational subject matter experts (SMEs).
- Gather and maintain a centralized set of business definitions and taxonomy related to finance and operational data.
- Partner with operational leaders to ensure long-term data governance and adoption.
- Translate complex business requirements into clear technical specifications and user stories.
- Map data dependencies across various platforms and transformation workstreams.
Requirements
- Proven experience as a Technical Business Analyst on complex data migration or BI transformation projects.
- Solid experience in data transformation programs from requirements definition to business adoption.
- Exposure to AI initiatives, particularly in preparing data for machine learning applications.
- Strong background in designing UAT frameworks and managing user validation.
- Hands-on experience in capturing process taxonomies and building data dictionaries.
- Excellent communication skills, particularly in high-pressure finance environments.
- Experience in Agile/Scrum methodologies, utilizing tools such as Jira and Confluence.
- Desirable: Familiarity with enterprise reporting frameworks and SQL or BI tools like Databricks.