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VINCI

<div>Axians Emirates, an operational entity of Cegelec Abu Dhabi (a subsidiary of VINCI Energies), is a dedicated business unit specializing in the deployment and maintenance of telecom, cybersecurity infrastructure and physical security systems.
 With strong capabilities in cybersecurity design and implementation, as well as ICT engineering and construction, Axians Emirates delivers end-to-end solutions tailored to the needs of critical sectors.
&#65039; Our services cover the full project lifecycle &mdash; from engineering, integration, and installation to commissioning and maintenance &mdash; with a focus on security, telecommunications, and information systems for clients in the oil &amp; gas and defense industries.
 With the support of the Axians network (VINCI Energies), Axians Emirates delivers reliable, agile, and locally adapted solutions, while embracing a dynamic approach to innovation and sustainable performance. 
Job Summary
We are looking for an AI Governance Consultant to help implement structured, ethical, and regulatory-compliant governance over AI systems used across business functions. This includes risk management, documentation, oversight, and stakeholder alignment.
Responsibilities
Develop AI governance frameworks including ethical principles, risk classifications, and control requirements. 
Define oversight models and AI-specific KPIs in line with organizational governance needs. 
Evaluate and document the impact, transparency, and compliance status of AI use cases. 
Maintain Statements of Applicability (SoA) for AI controls based on risk assessments. 
Contribute to awareness programs related to AI usage and ethical concerns. 
Liaise with legal, compliance, and cybersecurity teams to ensure holistic coverage of AI governance. 
Requirements
Minimum 5 years in governance, data privacy, cybersecurity, or AI risk domains. 
Strong knowledge of AI lifecycle governance, regulatory considerations, and risk frameworks. 
Familiarity with at least one AI governance platform (e.g., OneTrust, Collibra, or similar). 
Understanding of ISO/IEC 42001 or equivalent AI governance standards. 
Fluent English (written and spoken) is mandatory
Preferred Certifications
CIPT
 
CRISC, CISM 
Warum sollten Sie sich bewerben? 
Why join us ?
 Our DNA: Trust, Entrepreneurial Spirit, Solidarity, Autonomy, Responsibility
Joining us means becoming part of a large group while enjoying the agility and warmth of a human-sized company!
 A personalized onboarding journey from day one, with tailored career follow-up
 Opportunities for growth, training, and mobility within a fast-growing international group
 Close and supportive management
 Recognition of employee performance through a company savings plan
 Pride in shared achievements<ul><li>&#65039; Respect for the environment and local communities in the countries where we operate (Human Rights Guide)</li></ul>
 Commitment to the health and safety of our employees
 At VINCI Energies Oil &amp; Gas, CSR initiatives are deeply embedded in our activities, our ways of working, and ultimately, in our DNA
In einer Welt im Wandel beschleunigt VINCI Energies die &ouml;kologische Wende durch die konkrete Mitgestaltung zweier tiefgreifender Transformationen: Digitalisierung und Energiewende. Als marktnaher Integrator ma&szlig;geschneiderter, technik&uuml;bergreifender L&ouml;sungen unterst&uuml;tzen wir unsere Kund:innen bei der Implementierung von Technologien, von der Planung &uuml;ber Realisierung und Betrieb bis hin zur Instandhaltung. Mit unseren 2.100 regional verankerten, agilen und innovativen Business Units sind wir in die energiebezogenen Entscheidungen, die Infrastrukturen und Prozesse unserer Kund:innen eingebunden und sorgen jeden Tag f&uuml;r mehr Zuverl&auml;ssigkeit, Effizienz und Nachhaltigkeit. VINCI Energies strebt eine globale Leistung an, die auf den Planeten achtet, den Menschen n&uuml;tzt und solidarisch mit den Bev&ouml;lkerungen ist.</div>

AI Governance Consultant F/H

Discovered MENA

<div>
 
 
 Senior Cybersecurity GRC Consultant
 
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Type:
 
 Full-time, Onsite
 
 
 A leading organisation in the region is growing its cybersecurity governance team and is seeking an experienced
 
 Senior Cybersecurity GRC Consultant
 
 to support compliance, risk, and cloud governance across a modern, large-scale technology environment.
 
 
 
 
 
 
 About the Role
 
 
 
 You&rsquo;ll play a key part in shaping the organisation&rsquo;s security and compliance posture across cloud, hybrid, and enterprise platforms. This is a high-visibility role involving policy development, assurance activities, audit leadership, and regular engagement with senior stakeholders.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Translate major security frameworks into practical internal policies and controls
 </li>
 <li>
 Design and maintain governance models for cloud and hybrid environments
 </li>
 <li>
 Lead internal/external audits and certification readiness
 </li>
 <li>
 Conduct risk assessments, control testing, and gap analyses
 </li>
 <li>
 Work closely with security, tech teams, auditors, and business stakeholders
 </li>
 <li>
 Develop clear executive reports and support ongoing improvement initiatives
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Minimum 5 years in cybersecurity governance, compliance, risk, or audit
 </li>
 <li>
 Experience with frameworks such as ISO 27001, NIST, SOC 2, PCI DSS, GDPR
 </li>
 <li>
 Strong understanding of cloud security responsibilities (AWS/Azure/GCP)
 </li>
 <li>
 Background in running audits and assurance programs
 </li>
 <li>
 Confident communicator with senior stakeholders
 </li>
 <li>
 Experience with GRC or compliance automation tools (Archer, OneTrust, ServiceNow GRC, etc.)
 </li>
 </ul>
 
 
 Preferred Certifications
 
 
 
 CISM, CISA, CRISC, CISSP, ISO 27001 Lead Implementer/Auditor, CCSK, cloud security certs, GDPR Practitioner.
 
</div>

Cyber Security Consultant

Dicetek LLC

Overview Lead Data Management Consultant role at Dicetek LLC. Qualifications <ul><li>Minimum Experience: 5 years' relevant experience in the banking sector with at least 2 years in similar positions of progressively increasing managerial responsibilities in the Data Governance and Quality function.</li></ul> Knowledge and Skills <ul><li>Excellent knowledge of Data Governance and Data Quality programs, frameworks, policies, and procedures.</li><li>Experience working on strategic programs and by synthesizing business requirements and priorities with existing organisational capabilities.</li><li>Track record of successfully delivering business value attributed to improved data management practices.</li><li>Good knowledge of SQL or other data manipulation techniques.</li><li>Should have excellent presentation skills.</li></ul> Seniority level <ul><li>Not Applicable</li></ul> Employment type <ul><li>Contract</li></ul> Job function <ul><li>Information Technology</li></ul> Industries <ul><li>IT Services and IT Consulting</li></ul>

Lead Data Management Consultant

<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 AIQ is looking for a General Counsel to plan, lead and direct the Legal, Governance &amp; Compliance Function, providing expert advice to AIQ on all legal, governance &amp; compliance matters to mitigate risks and resolve disputes, provide expert advice and ensuring AIQ stakeholders abide with applicable laws and regulations as well as AIQ internal policies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead and direct the development of the Legal, Governance, Compliance and ESG strategies in line with AIQ&rsquo;s strategy, ensuring alignment and integration with other interfacing function strategies across AIQ (including provision of strategic advice for AIQ vision, mission and objectives, to meet UAE National Strategies for AI, Sustainability and Net Zero.
 </li>
 <li>
 Develop and implement AIQ&rsquo;s delegating authority.
 </li>
 <li>
 Implement and enhance AIQ governance model and framework and manage AIQ governance practices including policies &amp; procedure, ESG and ISO certification.
 </li>
 <li>
 Establish and implement AIQ Legal, Governance and Compliance policies and procedures including code of conduct, and assume responsibility for raising awareness and ensure proper compliance of these rule/codes of conduct.
 </li>
 <li>
 Hold the responsibility of AIQ Board Secretary and manage the Board secretarial function., establish and manage AIQ Board and Management committees and ensure necessary resolutions and approvals occur in a timely manner.
 </li>
 <li>
 Negotiate key transactions and manage legal risks including offering expert legal advice to senior management (including in respect of advanced technologies including AI, cloud, at-the-edge and on-prem software, SaaS, PaaS, licensing, data).
 </li>
 <li>
 Oversee and advise on IP protection and registration and manage AIQ IP portfolios.
 </li>
 <li>
 Keep up to date with regulatory policies and laws, be aware of legislative requirements around tech law and keep AIQ up to date with regulatory requirements including developing training programs for applicable stakeholders.
 </li>
 <li>
 Manage AIQ Compliance activities including ensure that AIQ acts in compliance with relevant laws and regulations by providing effective support to all divisions and ensuring the lawful administration of the organization&rsquo;s activities.
 </li>
 <li>
 Distribute and allocate day-to-day activities to direct team members and supervise execution and delivery of tasks and assignments by providing on-the-job guidance and support.
 </li>
 <li>
 Negotiate key transactions and manage legal risks.
 </li>
 <li>
 Manage relationships with shareholders, Board of Directors, and key stakeholders including meeting reporting requirements.
 </li>
 <li>
 Manage LGC budget and related processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualification and Years of Experience
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Law or related degree
 </li>
 <li>
 Min. 10 years of experience required
 </li>
 <li>
 Experience in Technology Law (preferred)
 
 
 </li>
 </ul>
 
 Essential Knowledge And Skills
 
 
 
 <ul>
 <li>
 Proficient leadership and communication skills
 </li>
 <li>
 Ability to proactively prioritize workloads, working both independently and as part of a team
 </li>
 <li>
 Advanced knowledge of country legal processes and regulatory bodies
 </li>
 <li>
 Advanced knowledge of technology law, intellectual property and trademarks
 </li>
 </ul>
</div>

General Counsel (AIQ)

Grant Thornton - UAE

<div>
 
 
 We&rsquo;re a large and growing professional services firm that still feels like a community.&nbsp;With over 76,000 professionals in more than 150 countries, we combine global scale with local expertise to help dynamic organizations unlock their potential for growth.&nbsp;We truly care about our colleagues, our clients, and the communities where we work and live.
 
 
 As a Senior Consultant, you&rsquo;ll play a key role in the successful delivery of services to clients, while gaining experience in&nbsp;a great variety&nbsp;of work under the coaching of your leaders.&nbsp;Your primary&nbsp;objective&nbsp;will be to&nbsp;assist&nbsp;clients in understanding and&nbsp;complying with&nbsp;regulatory requirements, mitigating risks, and enhancing their internal control to ensure sustainable growth. Discover your purple and join our Regulatory&nbsp;Advisory Team today!&nbsp;
 
 
 
 Let us paint a picture for you
 
 
 
 Imagine being part of a team that puts &ldquo;we before me&rdquo;, where flexibility is a mindset, and where you trust your colleagues to have your back.
 
 
 Imagine working for an organization that believes in the power of authenticity in everything that we do. Whether you're steering discussions in a client meeting, tackling your fear of heights at the top of the Burj Khalifa or ziplining across Jebel Jais &ndash; bring your true self to work. Be a part&nbsp;of a team&nbsp;driven by a purpose of shaping the world that we live in, based on trust and integrity in markets, dynamic businesses, and communities where businesses and people thrive.
 
 
 Join us to expand your horizons, be inspired, face challenges, and most importantly, be yourself.
 
 
 
 About the
 
 
 Regulatory Advisory
 
 
 &nbsp;Service
 
 
 Line
 
 
 
 Our&nbsp;Regulatory&nbsp;Advisory practice&nbsp;supplies&nbsp;a range of services to regulatory authorities, licensed financial institutions and other relevant organizations. Partnering with our colleagues in Business Risk Services, Forensics, Business Consulting among others, our work falls broadly into the following areas: Regulatory Compliance Advisory, Prudential Regulations, Compliance Governance and&nbsp;Assurance&nbsp;among others.&nbsp;&nbsp;
 
 
 
 As a Senior Consultant some of your responsibilities will include:
 
 
 
 <ul>
 <li>
 Delivering&nbsp;Governance, Risk and Compliance (GRC) projects for financial institutions and regulated entities across the UAE and region
 </li>
 <li>
 Collaborate with senior leadership to help clients strengthen governance frameworks, managing risk effectively, and ensuring compliance with evolving regulatory requirements
 </li>
 <li>
 Leading reviews of policies, procedures, and frameworks to ensure compliance with UAE regulatory requirements and international best practices
 </li>
 <li>
 Assisting in designing and implementing governance structures, including board and committee charters, risk management policies, and compliance programmes
 </li>
 <li>
 Conducting risk assessments across operational, compliance, and financial risk areas, and recommend mitigation strategies
 </li>
 <li>
 Supporting projects involving Sharia-compliant banking principles and Islamic Finance governance requirements
 </li>
 <li>
 Performing gap assessments against regulatory standards and prepare detailed reports and recommendations
 </li>
 <li>
 Preparing presentations, participate in client meetings, and contribute to proposals and business development initiatives
 </li>
 <li>
 Staying updated on UAE regulatory developments, Islamic Finance guidelines, and global GRC trends, while sharing valuable insights with clients and the internal team
 </li>
 <li>
 Mentoring junior consultants, reviewing deliverables, and ensuring quality standards are met
 </li>
 </ul>
</div>

Senior Consultant | GRC | Regulatory Advisory

D4 Insight

<div>Position: Senior Cloud DevOps Engineer &ndash; Azure &amp; AI Solutions 
Location: Abu Dhabi
<h3 class="jobSectionHeader">
Role Overview</h3>

We are seeking a highly skilled Senior Cloud DevOps Engineer with strong expertise in Azure and AI platforms to design, deploy, and manage scalable cloud and MLOps solutions. This role will drive automation, governance, security, and end-to-end AI infrastructure delivery.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul>
<li>Architect and deploy scalable AI and cloud platforms using Azure VMs, AKS, and Azure Functions
</li>
<li>Administer Azure Subscriptions and Resource Groups with strong governance using Azure Policy, Blueprints, and RBAC
</li>
<li>Automate infrastructure using Terraform through reusable modules, secure state management, and CI/CD integration
</li>
<li>Implement secure networking using Azure Firewall, VNets, NSGs, and Private Endpoints
</li>
<li>Monitor and optimize cloud resources using Azure Advisor, Cost Management, and AWS CloudWatch for hybrid setups
</li>
<li>Deploy and manage ML models using Azure Machine Learning, MLflow, and Azure ML Endpoints
</li>
<li>Build and operate robust MLOps pipelines using Azure DevOps, GitHub Actions, and Terraform
</li>
<li>Containerize and deploy models using AKS, ACI, and optionally Amazon SageMaker
</li>
<li>Track model performance and data drift using Azure Monitor, Application Insights, and Log Analytics
</li>
<li>Integrate Azure Cognitive Services, Azure OpenAI, and optionally AWS Rekognition or Comprehend
</li>
<li>Apply Generative AI engineering principles to build scalable and modular AI solutions
</li>
<li>Collaborate closely with AI, Data Science, UI/UX, and engineering teams for end-to-end delivery
</li>
<li>Create documentation standards and reusable templates for AI and infrastructure projects
</li>
<li>Apply DevOps best practices using Docker, CI/CD pipelines, and Infrastructure as Code
</li>
<li>Ensure compliance with enterprise policies, security standards, and service guidelines
</li>
</ul><h3 class="jobSectionHeader">Ideal Candidate Profile</h3>
<ul>
<li>5+ years of hands-on experience in Azure-based cloud and AI solution delivery
</li>
<li>Strong expertise in Terraform, including module development, remote state management, and CI/CD integration
</li>
<li>Proven experience in cloud infrastructure, MLOps, containerization, and DevOps automation
</li>
<li>Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or related field (Master&rsquo;s preferred)
</li>
<li>Azure certifications such as AZ-104, AZ-305, or DP-100 are a strong advantage
</li>
<li>Exposure to both Azure and AWS environments
</li>
<li>Strong skills in data preparation, feature engineering, and large-scale dataset handling
</li>
<li>Ability to convert technical insights into clear business value
</li>
<li>Experience working cross-functionally with engineering, product, and business teams
</li>
</ul> Interested candidates can share their resume at: [email protected]</div>

Senior Cloud DevOps Engineer – Azure & AI Solutions

Contango

<div>About the Role
To lead QData&rsquo;s data organization, encompassing data engineering, data product development, and data governance. The role&rsquo;s purpose is to establish a robust data platform and analytics capability for ADQ &ndash; enabling data-driven decision making, advanced analytics, and AI/ML initiatives. This executive defines the data strategy, oversees the building of data infrastructure and products, and ensures data quality, governance, and compliance. To serve as the champion for treating data as a strategic asset and delivers platforms and services that transform raw data into actionable insights and innovative data products. 
Key Responsibilities:<ul>
<li>
Data Strategy &amp; Architecture: Define QData&rsquo;s data strategy and target state architecture for data platforms (covering data lakes, warehouses, pipelines, and analytics/ML platforms). Set the vision for how data is collected, stored, managed, and used across ADQ&rsquo;s businesses, ensuring scalability, security, and alignment with enterprise architecture principles.</li>
<li>Data Platform Development: Oversee the design and development of core data infrastructure &ndash; including cloud-based data lakes/warehouses, ETL/ELT pipelines, real-time streaming systems, and analytics tools. Ensure that the data engineering team delivers a high-performance platform that serves multiple use cases (BI reporting, advanced analytics, machine learning) and is well-integrated with QData&rsquo;s other systems and solutions.</li>
<li>Data Products &amp; Analytics: Guide the Data Products team in building data-driven products and solutions (e.g., dashboards, predictive models, data APIs) that address key business questions. Prioritize development of analytics use cases and ensure the team is effectively turning data into insights and value for end-users. Champion the adoption of self-service analytics tools and data democratization across the organization.</li>
<li>Data Governance &amp; Quality: Implement a robust data governance framework in conjunction with the Data Governance team. Establish policies and standards for data quality, metadata management, master data management, and access controls. Ensure compliance with relevant data protection regulations (e.g., GDPR) and internal policies, minimizing risk related to data security and privacy.</li>
<li>Cross-Functional Leadership: Collaborate closely with the Technology and Solutions Delivery VPs to ensure data considerations are embedded in all projects. Advise on how data can support or enhance solution deliveries in various domains (for example, providing analytics for a healthcare project or integrating data science into a logistics solution). Act as the key evangelist for data-driven culture, working with business leaders to identify new opportunities where data analytics can drive performance improvements.</li>
<li>Research &amp; Innovation: Stay abreast of latest trends in data, AI, and analytics (e.g., big data technologies, AI/ML advancements, data mesh architectures). Evaluate new tools, platforms, or approaches (such as AI services, data virtualization, automation in data engineering) and incorporate relevant innovations into QData&rsquo;s roadmap. Foster experimentation through pilot projects or proofs-of-concept to continuously improve data capabilities.</li>
<li>Budget &amp; Talent Management: Manage the budget for the data division, including investments in technology and personnel. Build and grow a high-caliber data team by attracting top talent in data engineering, data science, and governance. Mentor department heads (Data Engineering, Data Products, Data Governance) and ensure the team structure and skills remain aligned with evolving business needs.</li>
</ul>
Required Technical Competencies:<ul>
<li>
Data Management (DATM) &ndash; Level 6: Mastery in governing and controlling organizational data assets &ndash; ensuring integrity, availability, and security of data across systems. Ability to set data standards and lifecycle policies at an enterprise level.</li>
<li>Data Engineering (DENG) &ndash; Level 6: Expertise in designing and implementing complex data pipelines, integration architectures, and storage solutions (relational and NoSQL databases, big data platforms) Capable of leading teams in modern data engineering practices (cloud-based, distributed processing).</li>
<li>Data Science &amp; Analytics (DATS/INAN) &ndash; Level 5: Strong understanding of analytics and machine learning techniques. While not necessarily coding models, able to guide data scientists in choosing the right methods and validate that analytical approaches align with business goals.</li>
<li>Enterprise &amp; Data Architecture (STPL &amp; DTAN) &ndash; Level 5: Proficient in aligning data architecture with overall enterprise architecture. Knowledge of data modelling and design principles (conceptual, logical, physical data models) to ensure cohesive data structures across the organization.</li>
<li>Governance (GOVN) &ndash; Level 5: Capability to implement governance frameworks &ndash; setting up data stewardship, policy enforcement, and audit processes. Ensures compliance with data-related regulations and internal governance standards.</li>
<li>Innovation (INOV) &ndash; Level 5: Demonstrated innovation in leveraging emerging data technologies (e.g., AI, IoT data, cloud analytics services) for competitive advantage. Promotes new ideas and experiments in the data domain to drive continuous improvement.</li>
</ul>
Preferred Technical Competencies:<ul>
<li>
Information Security (SCTY) &ndash; Level 5: Familiarity with data security practices, encryption, and identity/access management related to safeguarding sensitive data across platforms.</li>
<li>Business Intelligence (BINT) &ndash; Level 5: Experience with BI and visualization, ensuring that data presentation through dashboards and reports meets the needs of decision-makers.</li>
<li>Artificial Intelligence (AIDS/MLNG) &ndash; Level 5: Understanding of AI/ML infrastructure (model deployment, MLOps) and algorithms, to effectively oversee integration of advanced analytics into products.</li>
<li>Cloud Architecture: Strong grasp of cloud data services (e.g., Azure Synapse, AWS Redshift, Google BigQuery) and how to architect cost-effective, scalable solutions using them.</li>
</ul>
Tools, Platforms &amp; Certifications:<ul>
<li>
Tools/Platforms: Extensive experience with modern data tech stack: distributed data processing (Hadoop/Spark), data warehouse and lakehouse solutions, ETL/ELT tools (Azure Data Factory, Apache NiFi, etc.), and real-time streaming (Kafka, Apache Flink). Proficient in SQL and at least one programming language for data (Python, Scala). Familiar with analytics platforms (Power BI, Tableau) and ML platforms (Azure ML, TensorFlow). Also knowledgeable about data governance tools (Collibra, Informatica) for cataloging and lineage.</li>
<li>Certifications: Relevant certifications such as Certified Data Management Professional (CDMP), Cloud Architect certifications (Azure Data Engineer, AWS Big Data Specialty), and any Data Science/AI certifications. Certifications in data governance or security (e.g., CIPP/E for privacy) could be valuable.</li>
</ul>
Required Behavioural Competencies:<ul>
<li>
Strategic Influence: Excellent at articulating the value of data initiatives to business leaders and securing buy-in. Can influence peers and executives by translating technical concepts into business outcomes and demonstrating how data drives strategic objectives.</li>
<li>Analytical Mindset: Naturally data-driven in decision-making. Uses evidence and metrics to guide actions and encourages the same rigor throughout the team. Comfortable diving into data details when necessary to understand issues or spot opportunities.</li>
<li>Leadership &amp; Mentoring: Proven leadership in building multidisciplinary data teams. Invested in mentoring data engineers, scientists, and analysts, and fostering a community of practice that shares knowledge and elevates skills.</li>
<li>Collaboration: Works seamlessly with other departments, understanding their data needs and pain points. Facilitates an environment where data teams partner with domain experts and IT colleagues to create solutions together.</li>
<li>Integrity &amp; Compliance: Holds a strong ethical stance on data usage. Instills a mindset of responsibility regarding data privacy and compliance. Ensures the team treats data governance not as red tape, but as essential to trust and quality.</li>
<li>Adaptability: In the rapidly evolving data field, remains agile and open to change. Quickly adapts strategy in response to new data regulations, technology disruptions, or shifting business priorities, while keeping the team focused and motivated.</li>
</ul>
Experience &amp; Education Requirements:<ul>
<li>
Experience: 12+ years of experience in data-focused roles. This should include substantial experience (5+ years) in leading data engineering or analytics teams, preferably at an enterprise level or in a large-scale data environment. A successful track record of implementing data platforms or large analytics programs is required. Experience should also show ability to interface with business leadership &ndash; e.g., presenting data strategy or running data innovation workshops.</li>
<li>Education: Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or related field (required). Master&rsquo;s or PhD in Data Science, Information Management, or MBA with a technology focus (preferred). Strong educational grounding in database systems, data architecture, and statistics/machine learning is expected.</li>
<li>Additional Qualifications: Publications, conference presentations, or significant project achievements in the data &amp; AI space will be seen as a plus, demonstrating thought leadership. Experience within industries relevant to ADQ&rsquo;s portfolio (such as finance analytics, healthcare data compliance, etc.) is beneficial.</li> 
</ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

QData - VP of Data

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