Senior Business Analyst

As a Senior Business Analyst at Emerging Technologies, your primary responsibilities include defining business strategies for AI/ML initiatives, leading requirement-gathering sessions with stakeholders, and translating complex business needs into detailed functional requirements. You’ll also evaluate current business processes, collaborate with tech teams, and ensure compliance with local data laws while overseeing documentation throughout the solution development lifecycle.

To qualify for the Senior Business Analyst role at Emerging Technologies, candidates should have a Bachelor’s or Master’s degree in Business Administration, Computer Science, Information Systems, Data Science, or a related field. Additionally, a minimum of 7 years of experience is required, with at least 3 years in AI/ML projects, showcasing a strong understanding of AI/ML concepts and experience with digital transformation projects in Saudi Arabia.

The Senior Business Analyst plays a crucial role in AI/ML initiatives at Emerging Technologies by bridging the gap between business goals and technical capabilities. This involves identifying pain points, defining the business strategy and roadmap, and ensuring that AI solutions align with strategic objectives and stakeholder expectations, ultimately driving successful project outcomes.

Key skills for a Senior Business Analyst at Emerging Technologies include strong analytical skills, proficiency in requirement documentation, and a good understanding of process modeling. Additionally, having excellent stakeholder engagement abilities, strong communication skills in English (with Arabic proficiency being a plus), and familiarity with Agile frameworks will significantly enhance performance in this role.

Emerging Technologies offers various professional growth opportunities for Senior Business Analysts, including access to AI/ML certifications, participation in high-impact national transformation projects, and engaging in continuous learning about the latest AI/ML trends and best practices. This environment nurtures innovation and supports career development.

When answering this question, focus on specific examples where you led requirement-gathering sessions. Discuss the types of stakeholders you worked with, how you identified their needs, and the impact of these sessions on project success. Highlight any tools or methodologies you used and how you ensured clear communication throughout the process.

In response, discuss a specific AI/ML project, detailing your role, the challenges faced, and how you overcame them. Emphasize your contributions, such as translating business needs into actionable requirements or collaborating with technical teams. Quantifying outcomes and learning experiences will strengthen your response.

To effectively answer this, describe your approach to aligning business requirements with AI capabilities, which may include conducting stakeholder interviews, analyzing current processes, and translating needs into functional specifications. Discuss methods you've used for validation and ongoing communication with stakeholders to ensure alignment.

In your response, refer to a specific situation where you initiated change management for an AI solution. Discuss strategies you implemented, such as training sessions, user feedback loops, or communication plans, and describe how you encouraged user adoption while addressing any resistance throughout the change process.

Highlight your familiarity with process modeling methodologies such as BPMN or UML. Provide examples of scenarios where you applied these methodologies and discuss their effectiveness in clearly communicating processes to stakeholders and guiding AI implementations.

Outline your strategies for staying informed about AI and ML trends, such as following industry publications, attending webinars or conferences, participating in online courses, or being involved in professional networks. Share how this knowledge impacts your work as a Senior Business Analyst.

Explain your experience with Agile methodologies like Scrum or Kanban. Provide examples of how you applied these frameworks in previous projects, including how you facilitated sprints, collaborated in cross-functional teams, and adapted processes based on feedback and evolving project requirements.

Discuss your approach to developing KPIs for AI projects, including factors such as accuracy, recall, business impact, and user satisfaction. Provide examples of how you defined and tracked these metrics throughout a project, and how they informed decisions and drove improvements.

In addressing this question, emphasize your conflict resolution skills. Describe a specific situation where you encountered differences with a stakeholder, how you facilitated dialogue to reach a consensus, and any techniques you used to ensure that all voices were heard and incorporated into the final requirements.

Consider discussing challenges such as data privacy concerns, regulatory compliance, and the need for organizational change management. Offer insights into how these challenges impact the role of a Senior Business Analyst and your perspective on navigating these hurdles effectively.