AI & Data Consultant / Senior Consultant - Data Management
Riyadh, Riyadh Province, Saudi Arabia · Full Time
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- Experience
- 3–6 yrs
- Salary
- —
- Openings
- 1
- Posted
- 3 hours ago
- Work mode
- In office
- Education
- Bachelor's or Master's in Computer Science, Mathematics, or related Science
- Resume
- Required to apply
Where you'll work
Job description
About Deloitte
Deloitte ranks among the world's foremost professional services firms, recognized for excellence in the Middle East as a top employer and consulting company. Our mission is to create meaningful impact daily by tackling critical challenges and fostering sustainable growth for clients, people, and society. We inspire our professionals to deliver exceptional value through an inclusive, collaborative culture that builds trust and supports communities.
Core Values
- Lead proactively
- Maintain integrity in service
- Support and care for each other
- Promote inclusiveness
- Collaborate to achieve measurable results
Technical Expertise
- Demonstrated detailed understanding of at least one established data management standard such as DAMA, DCAM, CDMP, CMMI’s DMM, or NDMO.
- Practical experience designing a minimum of three data management functions including but not limited to data governance, metadata management, data quality control, master data management, data architecture, or open data initiatives.
- Proven capability in creating essential data management deliverables like governance operating models, policies, standards, processes, catalogs, glossaries, dictionaries, or tailored data models for client-specific requirements.
- Hands-on involvement deploying key data artifacts utilizing prominent tools or platforms including Informatica, Oracle, IBM, or cloud hyperscalers such as AWS and Azure.
- Collaborate effectively with architects, data scientists, engineers, and business leaders to translate needs into technical solutions.
Functional Skills
- Strong analytical abilities to interpret data insights and convert them to valuable client outcomes.
- Innovative problem-solving skills with creativity in overcoming complex challenges and motivating others.
- Commitment to delivering superior work quality and fostering team cooperation for an enhanced client experience.
- Understanding of business operations and sector trends impacting client organizations.
- Identify opportunities to increase process efficiency and effectiveness within business functions.
- Ability to maintain professionalism in sensitive or conflict situations, escalating issues appropriately.
Leadership Attributes
- Embodies the organization’s purpose and values, applying them in daily work.
- Proactively seeks personal growth, shares experiences, and represents the brand positively.
- Actively pursues challenges, collaborates across businesses and regions, and takes responsibility for individual and team success.
- Builds strong relationships and communicates effectively to influence peers and stakeholders.
- Aligns work with client and organizational objectives and sets clear priorities.
- Excellent communication and teamwork capabilities.
- Strong organizational skills with attention to detail in data analysis.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related scientific disciplines.
- 3 to 6 years of substantial experience designing at least three data management capabilities.
- Proficient English communication skills, both written and spoken.
- Capable of managing multiple responsibilities within deadlines and working flexible hours.
- Willingness to travel extensively within the GCC region (50-75%).
- Experience specifically in Data Governance and Data Management implementations.
- Preferred experience includes creating Data Governance Policies, Processes, and Operating Models.
- Familiarity with DAMA and NDMO frameworks is desirable.
- Preferred experience with Data Quality and Data Engineering implementation.
Additional Preferred Competencies
- Background in leading consulting firms or global system integrators is an advantage.
- Arabic language skills are considered beneficial.
- Professional certifications such as DAMA, DCAM, CDMP, or CMMI’s DMM are advantageous.
- Experience in data engineering design, including pipeline creation, ETL frameworks, data models, and pipeline orchestration adds value.
Skills
Work styles they’re looking for
Communication
Adaptability
Problem Solving
Teamwork
Attention to Detail
Analytical Skills