
Deloitte
Consultant / Senior Consultant â Engineering AI & Data, Data Management (KSA Nationals)
- Permanent
- Riyadh, Saudi Arabia
- Experience 2 - 5 yrs
- Urgent
Job expiry date: 24/11/2025
Job overview
Date posted
10/10/2025
Location
Riyadh, Saudi Arabia
Salary
Undisclosed
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
24/11/2025
Job description
Deloitte seeks KSA National Consultants/Senior Consultants in the AI & Data practice (Data Management) in Riyadh to design, implement, and operationalize enterprise data management capabilities aligned to industry standards such as DAMA, DCAM, CDMP, CMMIâs DMM, or NDMO. The role requires hands-on experience designing at least three capabilities (data governance, metadata management, data quality management, reference & master data management, data architecture, or open data) and developing key artefactsâincluding data governance operating models, data policies, data standards, data processes, data catalogues, business glossaries, data dictionaries, and data modelsâtailored to client requirements. Responsibilities include implementing these artefacts on leading data management tools and platforms (e.g., Informatica, Oracle, IBM, or cloud hyperscalers such as AWS and Azure), collaborating with architects, data scientists, data engineers, and business stakeholders to translate requirements into technical solutions, applying strong analytical skills to interpret data analysis results into client value, identifying opportunities to improve efficiency and effectiveness of processes, and producing high-quality deliverables. The position emphasizes leadership capabilities consistent with Deloitteâs values (lead the way, serve with integrity, take care of each other, foster inclusion, collaborate for measurable impact), including seeking growth opportunities, teaming across borders, influencing peers and stakeholders, aligning work to client and firm objectives, and maintaining composure through conflict and sensitive situations while escalating to engagement leadership when appropriate.
Required skills
Key responsibilities
- Design at least three data management capabilities such as data governance, metadata management, data quality management, reference and master data management, data architecture, or open data
- Develop client-tailored data management artefacts including data governance operating models, data policies, standards, processes, data catalogues, business glossaries, data dictionaries, and data models
- Implement data management artefacts on leading platforms and tools (e.g., Informatica, Oracle, IBM, AWS, Azure), ensuring alignment to client requirements and standards
- Collaborate with architects, data scientists, data engineers, and business stakeholders to translate business requirements into technical solutions
- Interpret data analysis results to generate insights and convert them into measurable client value
- Identify opportunities to improve efficiency and effectiveness of key business processes within client functions
- Produce high-quality work products and coordinate with team members to deliver a superior client experience
- Maintain composure in conflict or sensitive situations and escalate issues to engagement leadership when appropriate
- Build relationships and communicate effectively to positively influence peers and stakeholders
- Align personal workload and priorities to client objectives and Deloitteâs goals while contributing to team results
Experience & skills
- Undergraduate or Postgraduate Degree in Computer Science, Mathematics, or other Science Major
- 3â6 years of hands-on experience designing at least three data management capabilities (data governance, metadata management, data quality management, reference & master data management, data architecture, or open data)
- Proven detailed knowledge of at least one data management standard (DAMA, DCAM, CDMP, CMMIâs DMM, or NDMO)
- Hands-on experience developing data governance operating models, data policies, standards, processes, data catalogues, business glossaries, data dictionaries, and data models
- Experience implementing data artefacts on data management tools and platforms such as Informatica, Oracle, IBM, or cloud hyperscalers (AWS, Azure)
- Ability to collaborate with architects, data scientists, data engineers, and business stakeholders to translate requirements into technical solutions
- Strong analytical skills to interpret data analysis results and convert them into insightful client value
- Good command of written and spoken English
- Ability to handle multiple tasks and responsibilities in a deadline-oriented environment with flexible work hours
- Willingness to travel across the GCC region (50â75% of time)
- Preferred: Experience in leading consulting firms or global system integrators
- Preferred: Professional certification in DAMA, DCAM, CDMP, or CMMIâs DMM
- Preferred: Data engineering design experience (data pipelines, ETL frameworks, dimensional and relational physical data models, pipeline orchestration)