Business Analyst & Process Management

Blackstone eIT; Dubai; On-site; AED 180,000 - 320,000; Full time

Job summary

Blackstone eIT is seeking a hands-on Technology Operations Specialist to turn business challenges into practical technology solutions using AI, data analytics, automation, and emerging technologies. You will build prototypes, AI agents, Power BI dashboards, and MVPs while aligning with stakeholders.

The role focuses on pilots, validating ideas, delivering measurable value, and collaborating across IT, Data, Digital, Cybersecurity, and business teams to ensure secure, cost-effective, scalable

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, Business Information Systems, Digital Transformation, or a related field.
• Minimum 4 years of relevant experience in digital transformation, innovation, business analysis, AI adoption, data analytics, automation, product development, or related technology-enabled roles.
• Hands-on experience developing practical technology solutions, prototypes, POCs, MVPs, AI agents, dashboards, or automation workflows.
• Strong business analysis skills, including process mapping, requirements gathering, use-case development, and business-case preparation.
• Practical knowledge of AI solutions, data analytics, Power BI, automation, and low-code/no-code platforms.
• Understanding of emerging technologies, cloud platforms, integration concepts, cybersecurity, and enterprise technology architecture.
• Experience managing projects or pilots, including timelines, risks, dependencies, testing, and stakeholder communication.
• Strong analytical thinking, problem-solving, documentation, presentation, and communication skills.
• Ability to translate complex technical concepts into clear business language.

Responsibilities

• Identify opportunities to improve business efficiency, customer experience, governance, and operational performance through AI, automation, and data analytics.
• Engage with business stakeholders to understand challenges, map existing processes, gather requirements, and define practical solutions.
• Translate business needs into use cases, business cases, functional requirements, success criteria, and implementation roadmaps.
• Independently develop proof of concepts (POCs), prototypes, AI agents, Power BI dashboards, automation workflows, and MVPs.
• Design and develop data models and dashboards to support data-driven decision-making.
• Plan and manage pilot delivery, including timelines, milestones, dependencies, risks, testing, feedback, and progress reporting.
• Collaborate with IT, Data, Digital, Cybersecurity, Procurement, and business teams to ensure solutions are feasible, secure, cost-effective, and scalable.
• Prepare presentations, dashboards, executive updates, and recommendations for business stakeholders and leadership.
• Support solution adoption through user guides, training materials, feedback sessions, and handover documentation.

Skills

Power BI

AI adoption

Automation

Data analytics

Low-code

No-code

Prototyping

Business analysis

Stakeholder management

Data modeling

Dashboarding

Education

Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, Business Information Systems, Digital Transformation, or a related field

Job description

About the Role

We are looking for a hands-on Technology Operations Specialist to identify business challenges and turn them into practical technology solutions using AI, data analytics, automation, and emerging technologies.

The ideal candidate combines strong business analysis and stakeholder management skills with the technical ability to independently build prototypes, AI agents, Power BI dashboards, automation workflows, and minimum viable products (MVPs).

This role focuses on identifying opportunities, validating ideas through pilots, and delivering measurable business value.

Key Responsibilities

• Identify opportunities to improve business efficiency, customer experience, governance, and operational performance through AI, automation, and data analytics.
• Engage with business stakeholders to understand challenges, map existing processes, gather requirements, and define practical solutions.
• Translate business needs into use cases, business cases, functional requirements, success criteria, and implementation roadmaps.
• Independently develop proof of concepts (POCs), prototypes, AI agents, Power BI dashboards, automation workflows, and MVPs.
• Design and develop data models and dashboards to support data-driven decision-making.
• Plan and manage pilot delivery, including timelines, milestones, dependencies, risks, testing, feedback, and progress reporting.
• Collaborate with IT, Data, Digital, Cybersecurity, Procurement, and business teams to ensure solutions are feasible, secure, cost-effective, and scalable.
• Prepare presentations, dashboards, executive updates, and recommendations for business stakeholders and leadership.
• Support solution adoption through user guides, training materials, feedback sessions, and handover documentation.

• Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, Business Information Systems, Digital Transformation, or a related field.
• Minimum 4 years of relevant experience in digital transformation, innovation, business analysis, AI adoption, data analytics, automation, product development, or related technology-enabled roles.
• Hands-on experience developing practical technology solutions, prototypes, POCs, MVPs, AI agents, dashboards, or automation workflows.
• Strong business analysis skills, including process mapping, requirements gathering, use-case development, and business-case preparation.
• Practical knowledge of AI solutions, data analytics, Power BI, automation, and low-code/no-code platforms.
• Understanding of emerging technologies, cloud platforms, integration concepts, cybersecurity, and enterprise technology architecture.
• Experience managing projects or pilots, including timelines, risks, dependencies, testing, and stakeholder communication.
• Strong analytical thinking, problem-solving, documentation, presentation, and communication skills.
• Ability to translate complex technical concepts into clear business language.

Preferred Qualifications

• Certifications in AI, data analytics, Power BI, automation, project management, product management, design thinking, or business analysis.
• A master's degree in a relevant discipline.