IT Business Analyst with AI Insight
Creative Dock Group
Job Overview
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Job Description
About Creative Dock
We are looking for people who love building products from scratch. Are you fed up with the disconnect between programming and business? Are you attracted to the startup environment because it would allow you to participate directly in developing your own product? Join the unique environment of a global venture-building company. As an IT Business Analyst with AI Insight, you will play a key role in defining the project deliverables together with proper requirements specification for development. On top of that, you will oversee the proper context retrieval and quality assurance.
Why join Creative Dock?
We are proud of our informal atmosphere. We maintain a flat structure and the working environment is shaped around project teams. We believe in career development. All that matters are your skills and desire to learn more. No diploma will ever secure a place at Creative Dock.
About the Role
We are looking for an IT Business Analyst with an AI insight who will play a key role in shaping, delivering, and operating an AI-based product. This role sits at the intersection of product definition, delivery management, and quality assurance, with a strong emphasis on operational excellence. You will work very closely with the CTO and Project Lead, translating vision into a well-defined product, ensuring smooth execution, and taking end-to-end responsibility for design validation and testing of the tool. We are looking for someone who understands the probabilistic nature of AI systems, their limitations, and how this impacts requirements, testing, and delivery.
Key Responsibilities
Product Definition & Documentation
- Define the product vision, scope, and functional requirements in close collaboration with the CTO and Project Lead
- Write clear, structured product and feature descriptions suitable for both technical and non-technical stakeholders
- Translate business needs into well-defined user stories, acceptance criteria, and specifications
- Continuously refine requirements based on product evolution and AI model behavior
Delivery & Operational Excellence
- Maintain backlog, priorities, dependencies, and timelines
- Ensure transparency and clarity for the entire delivery team
- Track progress and proactively ensure the team stays on timeline and aligned on priorities
- Identify risks, bottlenecks, and inefficiencies early and propose practical solutions
- Establish and maintain high standards of operational excellence across product delivery
AI-Specific Responsibilities
- Ensure product requirements reflect the realities of AI-based systems, including:
- Non-deterministic outputs
- Model confidence, accuracy, and limitations
- Data dependencies and feedback loops
- Collaborate with technical teams to define realistic expectations for AI performance
- Help stakeholders understand how AI products differ from traditional software
Testing & Quality Ownership
- Take end-to-end responsibility for product testing and quality
- Understand the specialty of testing AI-driven features and designing the test strategy accordingly
- Design test scenarios, acceptance tests, and validation strategies
- Execute and coordinate testing activities; while a QA tester may assist, final accountability remains with you
- Validate that the product meets functional, operational, and user expectations
- Ensure quality standards are met before releases
Stakeholder Collaboration
- CTO – on technical feasibility, architecture implications, and AI constraints
- Venture Lead – on planning, delivery, and execution
- Development and AI/Data team – to ensure shared understanding of goals and requirements
- Act as a bridge between business, product, and technical perspectives
Required Skills & Experience
- Excellent communication skills, ability to align diverse stakeholders
- Independence and proactive approach
- Ability to take a decision and be responsible for it
- Ability to grasp complicated technical concepts
- Ability to understand the business background
- Experience with testing, acceptance criteria, and quality ownership
- Strong background in product definition and delivery management
- Knowledge of UML diagrams & BPMN diagrams
- Understanding of API documentation, DB schema, JSON & XML
- Have a team-player mindset with a hands-on approach
- Fluent English language
AI & Advanced Technology Experience
- Practical experience working on AI-based or data-driven products
- Clear understanding of how AI systems differ from deterministic IT solutions
- Experience defining requirements and tests for non-deterministic outputs
- Ability to reason about AI performance, trade-offs, and limitations
Hiring Process
- Screening phone call with the Recruiter
- Interview with the Hiring manager
- Participation in a Bootcamp (1 day spent with your potential team – to showcase your skills and learn more about Creative Dock)
Equal opportunity employer
Creative Dock is an equal opportunity employer and is committed to diversity and inclusion in the workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Be more with Creative Dock
We believe that ideas matter. Our core business is creation by doing.
Key skills/competency
- Product Definition
- AI Systems
- Requirements Specification
- Quality Assurance
- Delivery Management
- Stakeholder Collaboration
- UML & BPMN Diagrams
- API Documentation
- JSON & XML
- Test Strategy Design
How to Get Hired at Creative Dock Group
- Research Creative Dock's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Tailor your IT Business Analyst with AI Insight resume to highlight product definition, AI understanding, and quality ownership experience.
- Prepare for technical discussions: Be ready to discuss AI system limitations, non-deterministic outputs, and your experience with UML, BPMN, JSON, and XML.
- Showcase your proactive approach: Prepare examples demonstrating independence, decision-making, and identifying/solving project bottlenecks.
- Master stakeholder communication: Highlight instances where you successfully bridged communication between business, product, and technical teams.
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