Qureos Mentor

Visionary Tech Services LLC

<div>We are undertaking a AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.
The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.
We are seeking a Media Subject Matter Expert (SME) with deep experience in media operations, newsroom transformation, and AI-driven content production to support a strategic AI Transformation Programme for a leading media organisation.
This role bridges media domain expertise and AI innovation, ensuring that the assessment captures the realities of modern media workflows while identifying opportunities where AI can enhance efficiency, creativity, and audience engagement.
The SME will work alongside Ai-Zen&rsquo;s business analysts, data scientists, and architects to provide industry context, validate AI use cases, and guide the design of future-state media processes.
 Expected Outcomes of this role<ul><li>A set of validated and prioritised AI use cases for media functions.</li><li>Clear mapping of current-state vs. AI-enabled (&ldquo;to-be&rdquo;) media workflows.</li><li>Documentation of best practices and benchmarking insights from global media leaders.</li><li>Contribution to the Business &amp; Investment Case, quantifying the potential value of AI in media operations.</li></ul>
Key Duties &amp; Responsibilities:
Domain Expertise &amp; Workshops: Participate and Support the Transformation Lead and Project Team in discovery sessions to capture current media workflows (newsroom, content factory, digital publishing, etc.) and identify potential AI-driven improvements.
AI Opportunity Identification: Advise on how AI technologies (e.g., NLP - Natural Language Processing, video/audio analysis, content tagging, recommendation engines, newsroom automation) can enhance editorial, production, and distribution processes.
Collaborate with project team to validate and test NLP-enabled use cases for newsroom efficiency, automated metadata creation, and personalised content delivery.
Benchmarking &amp; Best Practices: Provide insight into global media trends, newsroom digitisation, and AI adoption across leading broadcasters and publishers.
Use Case Validation: Evaluate proposed AI use cases to ensure they are operationally relevant, technically feasible, and aligned with media industry standards.
Stakeholder Engagement: Collaborate with editorial, production, and commercial teams to bridge the gap between creative, technical, and business stakeholders.
AI Capability Translation: Translate complex AI capabilities into practical applications for journalists, editors, and producers.
Documentation &amp; Recommendations: Contribute to the development of the Business &amp; Investment Case by defining expected benefits, success metrics, and transformation enablers for media operations.
Requirements
10+ years of experience in media or broadcasting, with strong understanding of newsroom, content production, or media technology environments.
Proven experience in newsroom digital transformation, content lifecycle optimisation, or media innovation projects.
Familiarity with AI applications in media, such as:
o Content personalisation and recommendations
o Video/audio transcription and tagging
o Automated metadata generation
o AI-assisted news writing or curation
o Data-driven audience insights and analytics
Strong understanding of end-to-end media workflows: editorial planning, production, asset management, publishing, and audience engagement.
Excellent communication skills and ability to engage with creative and technical teams.
Ability to identify, explain, and prioritise opportunities where AI adds tangible business or operational value. 
Desirable Qualifications / Skills 

 
Experience with Media Asset Management (MAM/DAM) systems, newsroom automation tools, or digital publishing platforms.
Exposure to AI tools and technologies such as Azure AI, OpenAI, or other GenAI/LLM-based solutions.
Business Consulting or advisory experience in media transformation projects.
Familiarity with data governance, media monetisation, or audience analytics.
Contractual Duration: Short-term contract for a period of 10 weeks, not exceeding 40 working days.</div>

Media Subject Matter Expert (SME) L3 T2

<div>We are undertaking an AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.
The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.
We are seeking an Infrastructure &amp; AI Cloud Solution Architect to design, assess, and recommend the scalable, secure, and cost-efficient infrastructure architecture required to support AI workloads across Customer&rsquo;s cloud and on-prem environments. The role ensures the AI Transformation Assessment captures realistic technical dependencies, cost implications, and readiness gaps&mdash;bridging strategy and implementation planning.
It will work with the Customer Technology Office to align and re-enforce architecture standards for integration of third-party services; optimising performance and cost-efficiency for the chosen AI platforms and technologies.
Expected Outcomes of this role<ul><li>A validated infrastructure assessment report outlining current capabilities, gaps, and readiness for AI workloads.</li><li>A proposed target architecture design and roadmap supporting the AI Transformation Plan.</li><li>Cost and effort inputs feeding into the Business &amp; Investment Case.</li></ul>
Documented recommendations and risks for infrastructure scalability, resilience, and vendor integrations.
Key Duties &amp; Responsibilities:
Design and maintain complex financial models capturing cost structures, effort estimates, productivity gains, and long-term ROI across multiple departments.
Conduct baseline financial assessments of current operations, identifying cost inefficiencies and potential automation savings.
Develop scenario projections (Conservative, Base, Ambitious) that illustrate investment pathways, payback periods, and breakeven points.
Quantify tangible and intangible benefits, including efficiency gains, risk reduction, workforce redeployment, and audience growth impact.
Consolidate all quantitative findings into a robust and defensible Business &amp; Investment Case, supported by sensitivity and risk analyses.
Partner with the AI Project Manager, Business Analysts, Technical SMEs, and Department Heads to validate assumptions and align financial outputs with operational realities.
Prepare executive-ready dashboards and summaries, translating analytical results into actionable insights for decision-makers.
Support Steering Committee presentations by articulating key financial narratives, trade-offs, and recommendations.
Requirements
10+ years of experience in infrastructure or cloud architecture.
Hands-on experience working in data, or digital transformation projects.
Demonstrated strong expertise in designing AI/ML-ready environments, including Cloud GPU/compute orchestration, data pipelines, and storage optimisation.<ul><li>Strong background in hybrid cloud architecture (cloud + on-prem integration) and API-driven ecosystems.</li><li>Proven ability to translate business and AI requirements into scalable technical designs and cost-efficient infrastructure solutions.</li><li>Excellent understanding of security, compliance, and data governance in enterprise AI deployments.</li><li>Exceptional communication skills, with the ability to collaborate across technical and non-technical stakeholders.</li></ul>
Desirable Qualifications / Skills:<ul><li> 
Active Cloud Certifications in Microsoft Azure and AWS (Professional-Level)</li><li>Hands on AWS Cloud Design and implementation.</li><li>Natural Language Processing (NLP): process queries, and generate human-like text responses &ndash; Including Sentiment Analysis applications</li><li>Experience with MLOps, DataOps, or automation frameworks is highly desirable.</li><li>Generative AI Expertise: Experience designing and architecting AI Infrastructure with LLMs, text-to-image/video, and creative AI tools for media workflows.</li><li>Data &amp; MLOps: Strong in ETL pipelines, real-time streaming, and ML lifecycle management architecture design.</li><li>Media Infrastructure Knowledge: Understanding of MAM/DAM systems, metadata, transcoding, and integration of streaming protocols is a plus</li><li>Cloud &amp; GPU Architecture: Skilled in multi-cloud (AWS/Azure/GCP) and GPU-based AI infrastructure design within Air-Gapped sovereign environments</li></ul>
Contractual Duration: Short-term contract for a period of 3 weeks.</div>

Infrastructure & AI Cloud Solution Architect L2 T1

<div>Our Customer, a Media Company, is undertaking a 10-week AI Transformation Assessment led by Ai-Zen to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.
The assessment will evaluate the media company&rsquo;s current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with customer&rsquo;s stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.
To lead the business case development and quantitative analysis for the AI Transformation Assessment, developing a comprehensive cost / investment model, ROI projections, and a fully quantified Business &amp; Investment Case that demonstrates the financial and strategic value of becoming an AI-empowered organisation. Ensure alignment with customer&rsquo;s financial objectives.
Expected Outcomes of this role
A fully developed and validated business case quantifying the investment, cost savings, and ROI associated with Customer&rsquo;s AI Transformation initiatives.
A comprehensive Business &amp; Investment Case, integrating departmental inputs, automation benefits, and infrastructure costs into a unified financial framework.
Clearly defined scenarios (Conservative, Base, Ambitious) outlining alternative investment paths, payback periods, and financial risks.
A set of executive dashboards and summaries presenting key financial insights, efficiency gains, and expected returns in a clear, decision-ready format.
Documented assumptions, dependencies, and sensitivities to support transparent and evidence-based decision making.
Integration of financial outputs into the final AI Transformation Roadmap, aligning funding priorities with business value and implementation feasibility.
Presentation of the quantified ROI and value-creation potential to Customer&rsquo;s leadership and Steering Committee for approval of the next transformation phase.
Key Duties &amp; Responsibilities:
Design and maintain complex Business case and financial model models capturing cost structures, effort estimates, productivity gains, and long-term ROI across multiple departments.
Conduct baseline financial assessments of current operations, identifying cost inefficiencies and potential automation savings.
Develop scenario projections (Conservative, Base, Ambitious) that illustrate investment pathways, payback periods, and breakeven points.
Quantify tangible and intangible benefits, including efficiency gains, risk reduction, workforce redeployment, and audience growth impact.
Consolidate all quantitative findings into a robust and defensible Business &amp; Investment Case, supported by sensitivity and risk analyses.
Partner with the AI Project Manager, Business Analysts, Technical SMEs, and Department Heads to validate assumptions and align financial outputs with operational realities.
Prepare executive-ready dashboards and summaries, translating analytical results into actionable insights for decision-makers.
Support Steering Committee presentations by articulating key financial narratives, trade-offs, and recommendations.
Requirements
Qualifications
8-10 years of experience in Financial Planning &amp; Analysis, corporate finance, and strategic investment analysis, preferably within media, technology-driven or transformation environments.
Proven experience in business consulting.
Proven track record of building complex financial and ROI models for large-scale programmes.
Strong command of advanced financial modelling tools.
Demonstrated ability to convert financial data into clear business insights and executive-level storytelling.
Deep understanding of cost allocation, benefit realisation, and value-creation frameworks.
Good to have understanding the media industry value chain and have a view on key AI use-cases in media industry. Alternatively, worked in other related industries in identifying key AI use-cases and prioritizing these.
Excellent communication skills, with the ability to influence senior stakeholders and explain financial concepts to non-finance audiences.
Desirable Qualifications / Skills:
Prior experience in media, SaaS, data analytics, or digital transformation initiatives is strongly preferred.
Previous involvement in AI-related projects is a plus.
Experience with the International Financial Reporting Standards (IFRS) and US GAAP (Generally Accepted Accounting Principles).
Contractual Duration: Short-term contract for a period of 10 weeks, not exceeding 40 working days.</div>

Business Consultant / Analyst (Financial Business Case)

<div>We are advertising for a Tier 1 Senior Cybersecurity GRC Consultant to join our onsite team in Abu Dhabi.
If tackling complex compliance challenges, influencing cloud security strategy, and wearing the creative hat to build modern governance models excites you, we want to hear from you.
Role Overview
Join our &ldquo;Second Line of Defense&rsquo;&mdash; a hands-on, strategic role shaping cloud, hybrid and enterprise compliance at scale. If translating regulatory complexity into elegant, practical controls excites you, this is for you.
Why This Role
Impact: Own the organization&rsquo;s cybersecurity and cloud compliance posture across multi-cloud and hybrid environments.
Challenge to be addressed: Build pragmatic frameworks that satisfy auditors, regulators, and business stakeholders while enabling cloud-first innovation.
If this interests you, you&rsquo;ll influence policy, lead assurance programs, and present directly to senior stakeholders/ CXOs.
What We&rsquo;re Looking For
Experience: 6- 8+ years in cybersecurity compliance, governance, or audit with at least 2+ years focused on cloud environments.
Technical / Framework Skills: Proven ability to map frameworks to controls and operations (NIST CSF, ISO 27001/27017/27018, GDPR, PCI DSS, SOC 2, CSA CCM).
Cloud knowledge: Solid understanding of AWS, Azure, GCP and shared responsibility models.
Audit &amp; assurance: Demonstrated success running internal/external audits and certification readiness programs.
Communication: Excellent stakeholder management with confident interactions at C-level.
Tools: Hands-on experience with GRC and compliance automation platforms (Archer, OneTrust, ServiceNow GRC, Drata, Vanta, or similar).
Key duties and responsibilities:
Translate frameworks: into actionable policies, controls, and operating practices (NIST CSF, ISO 27001, GDPR, PCI DSS, SOC 2, CSA CCM).
Design and implement: a unified compliance and governance framework for cloud, hybrid, and enterprise systems.
Lead audits and assessments: Plan, run, and remediate internal and external compliance audits and certification readiness.
Conduct risk activities: Drive risk assessments, gap analyses, and control testing across services and third parties.
Liaise and coordinate with the first line, incident response, external auditors, regulators, key clients for assurance and post-incident compliance.
Drive continuous improvement by monitoring regulatory change, emerging standards, and automation opportunities.
Coach and mentor other team members, compliance analysts and consultants.
Present outcomes: Prepare executive-level compliance reports, risk dashboards, and audit results for senior leadership.
Requirements
We are looking for the required qualifications:
Highly desirable: CISM, CISA, CRISC, CISSP, PCI DSS QSA
Framework lead: ISO 27001 Lead Implementer / Lead Auditor.
Cloud focus: CCSK, AWS Security Specialty, or other cloud security certs.
Data protection: GDPR Practitioner
Education: Bachelor&rsquo;s or Master&rsquo;s in Cybersecurity, Information Systems, Risk Management, or related field.</div>

Senior Cybersecurity GRC Consultant

Join Visionary Tech Services LLC and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Visionary Tech Services LLC

ABOUT_COMPANY

Media Subject Matter Expert (SME) L3 T2

Infrastructure & AI Cloud Solution Architect L2 T1

Business Consultant / Analyst (Financial Business Case)

Senior Cybersecurity GRC Consultant