data strategy consultant

Infosys

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 Primary skills:Technology-&gt;Consulting - Data Strategy-&gt;Data Strategy
 
 
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 A day in the life of an Infoscion
 
 
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 As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
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 You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
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 You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
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 You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
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 You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
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 Knowledge of more than one technology
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 Basics of Architecture and Design fundamentals
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 Knowledge of Testing tools
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 Knowledge of agile methodologies
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 Understanding of Project life cycle activities on development and maintenance projects
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 Understanding of one or more Estimation methodologies, Knowledge of Quality processes
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 Basics of business domain to understand the business requirements
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 Analytical abilities, Strong Technical Skills, Good communication skills
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 Good understanding of the technology and domain
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 Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
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 Awareness of latest technologies and trends
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 Excellent problem solving, analytical and debugging skills
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Data Strategy Consultant

Arcus Search

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 Role: Data &amp; AI Consultant
 
 
 Location: Riyadh - hybrid working available
 
 
 Compensation: 30,000 SAR / Month
 
 
 
 
 
 The role:
 
 
 
 
 
 This will be a crucial hire into the team, working directly alongside the Director of KSA to build out the companies presence in KSA, after successfully scaling globally.
 
 
 
 
 
 You will be involved in the complete E2E activities, from Pre-Sales to Project Implementation. The business works across different industries, therefore, you will get exposure across Retail, Logistics, Energy, Healthcare, Logistics, Manufacturing + more.
 
 
 
 
 
 They also offer a complete service offering from Consulting (Data Strategy, Data Management, Data Governance) to Implementation (Analytics, AI &amp; ML) to Product &amp; Solutions (SaaS, PaaS, iPaaS, Data Platforms).
 
 
 
 
 
 Key Experience Required:
 
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 Experience in Pre-Sales - specifically responding to RFPs and RFIs
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 A broad understand &amp; professional experience across the Data Lifecycle, from Data Management, to Analytics &amp; AI
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 Knowledge of Saudi Frameworks &amp; Guidelines, including NDMO and DGA
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 Fluent in Arabic
 
 (Must have)
 
 and an excellent communicator
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 If interested, please apply below with your CV.
 
 
 
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Data & AI Consultant

SWATX

<div>SWATX is seeking a dedicated and experienced Data Management Consultant to join our team. In this role, you will be responsible for providing strategic guidance and hands-on support in all areas of data management, including data governance, data quality, and data integration. Working closely with clients, you will assess their data needs, develop data management strategies, and implement solutions that drive efficient and effective data operations.
Responsibilities:
<ul><li>Profound knowledge of data management frameworks, methodologies, and the standards and policies of the National Data Management Office (NDMO), along with their practical implementation.
</li><li>Provide guidance and consultation on implementing data management frameworks, methodologies, and policies in alignment with NDMO standards and requirements.
</li><li>Collaborate with internal stakeholders to assess current data management practices and identify areas for improvement.
</li><li>Develop and implement tailored data strategies and solutions to address data governance, and data privacy challenges.
</li><li>Strong understanding of privacy principles, policies, and laws governing personal data protection (PDPL).
</li><li>Assist in the development of policies, procedures, and guidelines to support compliance with NDMO requirements and enhance data management capabilities.
</li><li>Work closely with IT teams to evaluate and select data management tools and technologies.
</li><li>Expertise in data classification and overseeing the end-to-end implementation of data classification processes.
</li><li>Ability to conduct compliance assessments and generate comprehensive reports.
</li><li>Extensive experience in conducting and organizing workshops and presentations.</li></ul>
Requirements<ul><li>Degree in Computer Science, Information Technology, or similar degree.
</li><li>5+ years of experience in data management, data governance, and data privacy.
</li><li>Excellent communication skills, both verbal and written, in English and Arabic Preferable Certificates:
</li><li>Certified Data Management Professional (CDMP), Certified Information Privacy Manager (CIPM), or Certified Information Privacy Professional (CIPP).</li></ul></div>

Data Management Consultant

Data Management Consultant - NDMO Specialist

Deeplight

<div>Role Summary
We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward-looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.
The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI, and intelligent metadata tools will reshape how we design, manage, and discover data.
Requirements
Key Responsibilities<ul><li>
Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs.</li><li>
Translate AI use cases and regulatory/business needs into conceptual and logical data models.</li><li>
Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions.</li><li>
Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths.</li><li>
Build reusable data models and dictionaries aligned with enterprise data strategy and governance.</li><li>
Partner with engineers and architects to ensure future-proof designs, factoring in how AI-driven tools will evolve the modelling landscape.</li><li>
Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums.</li><li>
Mentor and guide junior analysts/consultants to uplift overall modelling capability.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Finance, Engineering, Computer Science, or related field.</li><li>
8&ndash;12 years&rsquo; experience in data modelling, data strategy, or data-driven consulting, with exposure to banking/financial services.</li><li>
Proven ability to translate business problems into structured data requirements and communicate them clearly.</li><li>
Experience in conceptual and logical data modelling (not just physical schema design).</li><li>
Strong consulting toolkit: structured problem-solving, stakeholder management, clear communication.</li><li>
Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting).</li><li>
Hands-on experience with data modelling tools but also a forward-looking perspective on next-gen approaches.</li><li>
Proficiency in querying databases (SQL) sufficient to validate and profile data.</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Lead Data Modeler

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 Tools &amp; Solutions
 
 is an A-to-Z Business Solutions, initiating win-win business solutions for over 500 companies, including governmental organizations, for the last ten years.
 
 
 In the Data &amp; Innovation department, we design and deploy innovative conceptual Data strategies that help our clients overcome business challenges. We collaborate with multiple clients to provide services and products in the field of data governance and management. We provide consulting services and Technology implementation accompanied by a set of tools that we have developed to help our clients achieve their desired goals.
 
 
 Currently, we are on the lookout for a
 
 (Senior Data Management Consultant)
 
 that can perform at the top of their game to join us and contribute to our success. The ideal candidate will play a crucial role in advising and guiding organizations on the implementation of data management frameworks, methodologies, and policies in accordance with National Data Management Office (NDMO) standards.
 
 
 
 
 
 
 Responsibilities:
 
 
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 Profound knowledge of data management frameworks, methodologies, and the standards and policies of the National Data Management Office (NDMO), along with their practical implementation.
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 Provide guidance and consultation on implementing data management frameworks, methodologies, and policies in alignment with NDMO standards and requirements.
 </li>
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 Collaborate with internal stakeholders to assess current data management practices and identify areas for improvement.
 </li>
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 Develop and implement tailored data strategies and solutions to address data governance, and data privacy challenges.
 </li>
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 Strong understanding of privacy principles, policies, and laws governing personal data protection (PDPL).
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 Assist in the development of policies, procedures, and guidelines to support compliance with NDMO requirements and enhance data management capabilities.
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 Work closely with IT teams to evaluate and select data management tools and technologies.
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 Expertise in data classification and overseeing the end-to-end implementation of data classification processes.
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 Ability to conduct compliance assessments and generate comprehensive reports.
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 Implement data management frameworks and methodologies in line with NDMO standards.
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 Drive compliance with National Data Index (NDI) requirements and lead initiatives to improve organizational NDI scores.
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 Lead workshops, training sessions, and awareness programs on data management.
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 Strong experience in Reference &amp; Master Data Management (RDM/MDM) including design, governance workflows, and golden record creation.
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 Practical expertise in Data Quality: profiling, monitoring, scorecards, and remediation.
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 Proven background in Analytics &amp; BI: building pipelines, governed datasets, and dashboards.
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 Hands-on experience with metadata management, data lineage, and catalogs.
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 Proficiency in modern data platforms (cloud, warehouse, lakehouse) and integration tools.
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 Design and maintain conceptual, logical, and physical data models.
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 Define integration patterns, storage/compute layers, and data security models.
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 Establish enterprise data architecture standards aligned with digital transformation strategies.
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 Work closely with enterprise architects to ensure interoperability and reusability.
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 Requirements:
 
 
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 Degree in Computer Science, Information Technology, or similar degree.
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 5-7 years of experience in data management, data governance, and data privacy.
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 Excellent communication skills, both verbal and written, in English and Arabic
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 Preferable Certificates:
 
 
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 Certified Data Management Professional (CDMP), Certified Information Privacy Manager (CIPM), or Certified Information Privacy Professional (CIPP).
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Senior Data Management Consultant

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