Senior Business Analyst

Role Overview

Senior Business Analyst at AD Ports Group. The role serves as the principal interface between business stakeholders, product owners, and delivery teams in the design, delivery, and continuous improvement of trade systems across the trade ecosystem.

Role Purpose

The Senior Business Analyst combines product ownership, business process analysis, and systems thinking across a portfolio spanning Customs Risk Management and Trade Single Window solutions, Port and Cargo Community Systems, trade portals, regulatory and cross-border platforms, and wider systems serving trade and supply-chain operations. The role bridges clients, stakeholders, and development teams to foster alignment, transparency, and unified understanding of solution goals throughout the project lifecycle.

Key Responsibilities

Stakeholder Management & Interface

• Act as the principal interface between clients, stakeholders, and the development team, fostering alignment, transparency, and a unified understanding of solution goals throughout the project lifecycle.
• Facilitate sign-off from stakeholders and product owners, ensuring that no requirement enters the backlog without a typed, traceable demand behind it.
• Work with cross-functional teams and product managers to refine and maintain the product backlog, prioritize features, and ensure alignment with strategic objectives and delivery milestones.

Requirements Analysis & Elicitation

• Lead the elicitation and analysis of business and functional requirements across the trade-systems portfolio, including Single Window, Customs Risk Management, Port and Cargo Community Systems, and other trade and cross-border platforms.
• Translate stakeholder input into clear, actionable specifications, including requirements arising from AI-driven use cases and their associated data needs.
• Model and analyze business processes using industry-recognized standards such as BPMN and UML, developing clear AS-IS and TO-BE representations to support system design and process re-engineering.

Requirements Documentation & Specifications

• Lead the preparation of Business Requirements Documents (BRDs), Functional Requirements Specifications (FRSs), Non-Functional Requirements (NFRs), and User Story Specifications.
• Author documents directly or generate through AI skills, then critically review, correct, and own deliverables to ensure they are comprehensive, traceable, and compliant with established governance and quality standards.
• Produce and maintain Requirements Traceability Matrices (RTMs) to link business requirements to functional specifications, design elements, test cases, and defects across the delivery lifecycle.

Demand Intake & Classification

• Classify incoming demand through typed intake, distinguishing business needs, change requests, general demand, incidents, procurement, and regulatory triggers.
• Produce a structured, uniquely identified intake record that correctly routes and anchors all downstream activity.

AI Skills Orchestration & Validation

• Operate fluently across both the conventional, analyst-led business analysis process and the AI-native, skill-orchestrated operating model, selecting on a demand-by-demand basis whether conventional analysis, AI-assisted generation, or a blend of the two best fits the work in hand.
• Orchestrate and supervise AI skills across intake, strategy and analysis, and BRD/specification generation.
• Supply high-quality context to AI skills, then critically review, correct, and take ownership of generated output.
• Proportion the depth of human oversight to the maturity of each skill, applying heavier scrutiny to early-stage skills and a lighter touch to production-grade ones.
• Act as the human validation gate that AI cannot replace, recognizing that plausible output is not necessarily correct output.

Product Ownership

• Act as Product Owner or proxy Product Owner, working with cross-functional teams and product managers to refine and maintain the product backlog.

Solution Design & Technical Collaboration

• Contribute to solution design and technical decision-making, reviewing data structures, interface contracts, and configuration options.
• Shape non-functional requirements (performance, security, scalability, and auditability) alongside product engineering.
• Assess technical feasibility and translate requirements into engineering-ready specifications.

Qualifications & Experience

• Bachelor's degree in Business Administration, Information Systems, Supply Chain Management, or a related discipline.
• A relevant Master's degree or professional certification such as CBAP, PMI-PBA, or CSPO is an asset.
• Relevant AI learning and certifications.

Skills & Competencies

Requirements Management & Analysis

• Practical experience with requirements management tools, workflow systems, and business process modelling tools such as MS Visio, Miro, and Draw.io.
• Working proficiency with generative-AI tooling and prompt engineering, with the ability to design effective prompts for requirements analysis, document drafting, process modelling, test-case generation, and stakeholder summaries.
• Critical evaluation of AI-generated output before use in client deliverables.

Data & Technical Analysis

• Working proficiency in SQL, with the ability to read and write moderately complex queries against operational and reporting databases.
• Support data sampling, requirements validation, defect investigation, and User Acceptance Testing without recourse to development-team support for routine analysis.
• Product-engineering literacy, including working understanding of solution architecture, APIs and integration patterns (REST, messaging, and EDI/EDIFACT), data models, and the software delivery lifecycle.

Agile & Delivery Practices

• Strong understanding of agile delivery practices, grounded in the principles of the Agile Manifesto.
• Practical hands-on experience operating within Scrum and Kanban frameworks, including ceremonies, backlog management, sprint planning, and continuous-flow techniques.
• Working knowledge of project management and change-control processes, with the ability to operate effectively in agile or hybrid delivery environments.

AI-Native Operating Model

• Practical understanding of an AI-native, skill-orchestrated business analyst operating model, in which typed demand intake and AI skills accelerate classification, strategy analysis, and specification drafting.
• Strong context-provision discipline, framing problems, assembling source material, and supplying the structured context that AI skills depend on to produce reliable, on-demand output.
• Comfort operating within a typed-intake, demand-ID-anchored traceability model and alongside adjacent AI-native roles such as Context Engineers, Delivery Planners, and Product Managers within a blended manual and AI-native delivery flow.

Collaboration & Team Engagement

• Experience working in cross-functional teams with geographically distributed stakeholders.
• Hands-on familiarity with engineering and delivery tooling, including issue trackers and backlogs such as Jira or Azure DevOps, API specification and testing tools, and version-controlled documentation.