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ai adoption enablement lead

Virtusa

<div>Job Description:
The Governance and Responsible AI Lead plays a critical role in ensuring that all AI initiatives within the CoE are developed and deployed in a manner
that is ethical, transparent, and compliant with applicable regulations. This role advises and supports cross-functional teams in embedding
responsible AI practices, and works hand in hand with the GRC team and audit to design and implement governance frameworks that mitigate risks
and uphold trust.
The role involves close coordination with stakeholders across business, legal, compliance, and technical teams to ensure audit readiness, policy
alignment, and adherence to global standards such as the NIST AI Risk Management Framework, PDPL, and the EU AI Act.
Key Responsibilities:
<ul><li> Develop and implement AI governance frameworks and ethical guidelines across the CoE.
</li></ul><ul><li> Advise AI teams on responsible AI practices, including fairness, transparency, accountability, and privacy.
</li></ul><ul><li> Support funcions in their AI risk assessments and mitigation planning for all AI initiatives.
</li></ul><ul><li> Conduct training and awareness programs on responsible AI for internal teams.
</li></ul><ul><li> Coordinate with legal, compliance, and audit teams to ensure readiness and alignment.
</li></ul><ul><li> Monitor and report on governance KPIs and risk indicators.
</li></ul>Required Qualifications:
<ul><li> Advanced degree in AI, Data Ethics, Law, or a related field.
</li></ul><ul><li> Proven expertise in AI governance, ethics, and regulatory compliance.
</li></ul><ul><li> Strong knowledge of global AI risk frameworks and regulations (NIST AI RMF, PDPL, EU AI Act).
</li></ul><ul><li> Experience in risk assessment, policy design, and stakeholder coordination.
</li></ul><ul><li> Familiarity with audit processes and compliance reporting.
</li></ul><ul><li> Excellent communication and facilitation skills across technical and non-technical audiences.
</li></ul><ul><li> Minimum 7 years of experience in governance, compliance, or responsible AI roles.
</li></ul><div>About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

AI Adoption & Enablement Lead

Deem Finance

<div>
 
 
 Key Performance Indicators
 
 
 
 
 Advanced Analytics &amp; AI Enablement
 
 
 <ul>
 <li>
 Lead the development of
 
 predictive, prescriptive, and ML models
 
 for growth, risk, customer experience, and efficiency.
 </li>
 <li>
 Build reusable
 
 data products, dashboards, and analytical APIs
 
 for business self-service.
 </li>
 <li>
 Deploy AI/ML use cases across domains such as
 
 Cards, PL, ML, SME, Deposits, Digital Channels, Collections, and Marketing
 
 .
 </li>
 <li>
 Ensure measurable business impact (revenue uplift, cost reduction, risk mitigation).
 </li>
 </ul>
 
 
 
 
 
 Business Partnering &amp; Value Realisation
 
 
 <ul>
 <li>
 Partner with senior business stakeholders to identify
 
 high-value data opportunities
 
 .
 </li>
 <li>
 Translate business problems into analytical solutions with
 
 clear ROI and success metrics
 
 .
 </li>
 <li>
 Challenge assumptions with data-driven insights and influence strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Data Products &amp; Platform Adoption
 
 
 <ul>
 <li>
 Promote scalable analytics using cloud, big data, and modern ML platforms.
 </li>
 <li>
 Improve analytics maturity across teams through enablement and best practices.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Digital Data Journey
 
 
 <ul>
 <li>
 Define and execute the
 
 enterprise data &amp; analytics roadmap
 
 aligned with business strategy.
 </li>
 <li>
 Establish data as a
 
 single source of truth
 
 through governed, scalable, and reusable data assets.
 </li>
 <li>
 Drive adoption of advanced analytics, AI, and automation across business units.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the
 
 design, development, and deployment
 
 of advanced analytics and AI solutions.
 </li>
 <li>
 Own the
 
 end-to-end analytics lifecycle
 
 : problem framing, data preparation, modelling, validation, deployment, and monitoring.
 </li>
 <li>
 Guide teams on
 
 feature engineering, model selection, performance tuning, and interpretability
 
 .
 </li>
 <li>
 Drive data storytelling and executive-level insights through compelling narratives and visuals.
 </li>
 <li>
 Mentor and develop data scientists and analysts; set technical and delivery standards.
 </li>
 <li>
 Collaborate with IT, Data Engineering, Risk, Finance, and Product teams to embed analytics into workflows.
 </li>
 <li>
 Prioritise initiatives using
 
 value vs effort
 
 and ensure timely execution.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Core Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong hands-on expertise in
 
 Python/R / SQL
 
 and modern data science frameworks.
 </li>
 <li>
 Proven experience in
 
 machine learning, statistical modelling, and AI techniques
 
 .
 </li>
 <li>
 Strong understanding of
 
 data architecture, data pipelines, and cloud analytics platforms
 
 .
 </li>
 <li>
 Ability to convert complex analytical outputs into
 
 clear business recommendations
 
 .
 </li>
 <li>
 Excellent stakeholder management, communication, and presentation skills.
 </li>
 <li>
 Strategic mindset with execution focus.
 </li>
 <li>
 Ability to manage multiple initiatives in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Educational &amp; Other Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Statistics, Engineering, or related field
 
 .
 </li>
 <li>
 
 7&ndash;10 years of experience
 
 in data science, advanced analytics, or AI roles, preferably within
 
 banking or financial services
 
 .
 </li>
 <li>
 Strong exposure to
 
 banking/NBFC domains
 
 (Cards, Loans, SME, Digital Channels, Risk, Marketing).
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, Azure, GCP) and big-data ecosystems.
 </li>
 <li>
 Exposure to
 
 data
 
 &amp;
 
 risk models, and regulatory environments
 
 is a strong advantage.
 </li>
 </ul>
 
 
</div>

Digital Data Scientist

talabat

<div>
 talabat is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 We are seeking a Senior Product Manager with a strong background in artificial intelligence and a passion for building tools that empower commercial, account management, and operations teams. The role focuses on designing and delivering AI-powered solutions and agentic workflows to enhance sales productivity, drive B2B customer acquisition, accelerate onboarding, and improve account management and retention outcomes.
 </li>
 <li>
 Lead the strategy and product roadmap for AI-powered features focused on B2B sales acquisition, account onboarding, and retention workflows.
 </li>
 <li>
 Build, deploy, and refine agentic workflows and intelligent automation that support commercial and sales teams with prospecting, pipeline management, deal execution, and renewal processes.
 </li>
 <li>
 Launch AI-driven capabilities that personalize outreach, automate onboarding processes, and proactively surface account growth opportunities and churn risks.
 </li>
 <li>
 Partner with Data Science and Engineering to develop solutions that analyze customer and account data, delivering actionable insights for the commercial organization.
 </li>
 <li>
 Own the end-to-end delivery of new AI tools&mdash;ensuring internal adoption by sales and account management teams, and continuous improvement based on user feedback and business impact.
 </li>
 <li>
 Collaborate with cross-functional stakeholders (including Marketing, Revenue Operations, and Support) to align product enhancements with go-to-market priorities and customer needs.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What Success Looks Like:
 
 
 
 <ul>
 <li>
 Higher volume and improved quality of B2B lead acquisition, with measurable improvements to onboarding speed and customer satisfaction.
 </li>
 <li>
 Increased sales team productivity, faster deal cycles, and higher win rates supported by AI-driven tools.
 </li>
 <li>
 Scalable onboarding and account management journeys, leading to increased retention and expansion of key accounts.
 </li>
 <li>
 Strong adoption and advocacy from commercial teams for the AI-powered features and workflows built.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 5+ years in product management or product leadership, with at least 2 years building AI-driven products or workflow automation tools.
 </li>
 <li>
 Experience delivering commercial/B2B-focused product features that support sales, onboarding, or account retention processes.
 </li>
 <li>
 Demonstrated ability to collaborate with commercial, sales, and data science stakeholders to deliver business-impacting tools.
 </li>
 <li>
 Familiarity with AI/ML concepts (agentic workflows, workflow automation, predictive analytics) in a commercial context.
 </li>
 <li>
 Excellent communication skills, with proven ability to drive adoption and deliver value for internal business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience building AI-powered solutions for B2B SaaS, marketplaces, or enterprise software environments.
 </li>
 <li>
 Practical experience with CRM, sales enablement platforms, or customer success tooling enhanced by AI.
 </li>
 <li>
 Background in launching agentic workflows that automate or augment B2B sales and customer onboarding.
 </li>
 <li>
 MBA or advanced degree in a business, technical, or quantitative field preferred
 </li>
 </ul>
</div>

Senior Product Manager - AI

RAKBANK

<div>
 
 At
 
 RAKBANK
 
 , we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance.
 
 
 
 Job Description
 
 
 
 
 Role Purpose:
 
 
 
 The
 
 AI Platform Owner
 
 is responsible for
 
 owning, building, scaling, and operating the enterprise AI platform
 
 for the bank. This role leads the
 
 technology side of AI enablement
 
 , ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are
 
 secure, scalable, cost-effective, and reusable
 
 across business and technology use cases.
 
 
 The role acts as the
 
 single point of accountability
 
 for the AI platform across
 
 cloud and on-prem environments
 
 , balancing
 
 rapid innovation
 
 with
 
 operational stability, governance, and regulatory compliance
 
 .
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Establish a
 
 bank-wide AI platform
 
 that enables fast, safe, and scalable AI adoption
 </li>
 <li>
 Enable
 
 multiple AI use cases
 
 across business, operations, risk, compliance, and technology
 </li>
 <li>
 Manage
 
 AI run &amp; change
 
 with strong cost, performance, and reliability controls
 </li>
 <li>
 Continuously evolve the platform in line with
 
 fast-paced advancements in LLMs and AI tooling
 
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 1. AI Platform Ownership &amp; Strategy
 
 
 <ul>
 <li>
 Own the
 
 end-to-end AI platform roadmap
 
 , architecture, and operating model
 </li>
 <li>
 Define the
 
 AI platform vision
 
 aligned to enterprise technology and business strategy
 </li>
 <li>
 Decide
 
 build vs buy vs partner
 
 for AI tooling, models, and platforms
 </li>
 <li>
 Ensure the platform supports
 
 current and future AI paradigms
 
 (GenAI, Agentic AI, AI-augmented development, AI-Ops)
 </li>
 </ul>
 
 
 2. LLM &amp; AI Technology Management
 
 
 <ul>
 <li>
 Own lifecycle management of
 
 LLMs and SLMs
 
 (open-source and commercial)
 </li>
 <li>
 Manage:
 </li>
 <li>
 Model selection and evaluation
 </li>
 <li>
 Fine-tuning, prompt strategies, embeddings, and vector stores
 </li>
 <li>
 Inference optimization, latency, throughput, and reliability
 </li>
 <li>
 Enable
 
 multi-model and multi-provider strategy
 
 (cloud, on-prem, hybrid)
 </li>
 </ul>
 
 
 3. Platform Engineering (Cloud &amp; On-Prem)
 
 
 <ul>
 <li>
 Lead deployment and operations of AI platforms across:
 </li>
 <li>
 Public cloud
 </li>
 <li>
 Private cloud / on-prem infrastructure
 </li>
 <li>
 Ensure:
 </li>
 <li>
 High availability, resilience, and scalability
 </li>
 <li>
 Secure data handling and isolation
 </li>
 <li>
 Compliance with data residency and regulatory requirements
 </li>
 <li>
 Integrate AI platform with:
 </li>
 <li>
 Core banking and enterprise systems
 </li>
 <li>
 APIs, event platforms, data platforms, and digital channels
 </li>
 </ul>
 
 
 4. AI Use Case Enablement
 
 
 <ul>
 <li>
 Work closely with
 
 business, operations, risk, compliance, and technology teams
 
 to:
 </li>
 <li>
 Identify high-value AI use cases
 </li>
 <li>
 Prioritize and onboard use cases onto the platform
 </li>
 <li>
 Provide reusable AI services, APIs, and components
 </li>
 <li>
 Enable
 
 rapid experimentation
 
 while maintaining enterprise controls
 </li>
 <li>
 Support AI use cases across:
 </li>
 <li>
 Customer experience
 </li>
 <li>
 Operations &amp; automation
 </li>
 <li>
 Risk, compliance &amp; fraud
 </li>
 <li>
 Engineering productivity (AI-augmented development)
 </li>
 </ul>
 
 
 5. Run &amp; Change Management
 
 
 <ul>
 <li>
 Own
 
 run operations
 
 of the AI platform:
 </li>
 <li>
 Monitoring, performance, incidents, and SLAs
 </li>
 <li>
 Model drift, accuracy, and quality controls
 </li>
 <li>
 Own
 
 change delivery
 
 :
 </li>
 <li>
 Platform enhancements
 </li>
 <li>
 New model onboarding
 </li>
 <li>
 Capability upgrades
 </li>
 <li>
 Establish
 
 clear ownership, escalation, and support models
 
 </li>
 </ul>
 
 
 6. Cost Management &amp; Optimization
 
 
 <ul>
 <li>
 Manage
 
 AI platform costs
 
 across:
 </li>
 <li>
 Model usage (tokens, inference)
 </li>
 <li>
 Compute, storage, and networking
 </li>
 <li>
 Tooling and licensing
 </li>
 <li>
 Define and enforce:
 </li>
 <li>
 Cost visibility and chargeback/showback models
 </li>
 <li>
 Usage limits and optimization strategies
 </li>
 <li>
 Balance
 
 innovation speed vs cost efficiency
 
 </li>
 </ul>
 
 
 7. Governance, Risk &amp; Compliance
 
 
 <ul>
 <li>
 Embed
 
 Responsible AI
 
 principles into the platform
 </li>
 <li>
 Ensure compliance with:
 </li>
 <li>
 Model risk management
 </li>
 <li>
 Data privacy and security
 </li>
 <li>
 Regulatory and audit requirements
 </li>
 <li>
 Implement:
 </li>
 <li>
 Model explainability and auditability
 </li>
 <li>
 Logging, traceability, and controls
 </li>
 <li>
 Partner closely with
 
 Risk, Compliance, Legal, and Security teams
 
 </li>
 </ul>
 
 
 8. Vendor &amp; Ecosystem Management
 
 
 <ul>
 <li>
 Manage relationships with:
 </li>
 <li>
 Cloud providers
 </li>
 <li>
 AI vendors and open-source communities
 </li>
 <li>
 System integrators and partners
 </li>
 <li>
 Stay current with
 
 rapid AI market evolution
 
 and assess impact to the bank
 </li>
 <li>
 Continuously evaluate emerging technologies and platforms
 </li>
 </ul>
 
 
 9. Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead and grow a
 
 high-performing AI platform engineering team
 
 </li>
 <li>
 Work in close partnership with:
 </li>
 <li>
 Enterprise Architecture
 </li>
 <li>
 Platform Owners
 </li>
 <li>
 Data, Digital, Security, and Engineering teams
 </li>
 <li>
 Act as the
 
 AI technology evangelist
 
 within the organization
 </li>
 </ul>
 
 
 Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Proven experience owning
 
 enterprise-scale platforms
 
 </li>
 <li>
 Strong
 
 run + change
 
 ownership mindset
 </li>
 <li>
 Ability to operate in
 
 fast-changing, ambiguous environments
 
 </li>
 <li>
 Experience managing
 
 cost, performance, and reliability at scale
 
 </li>
 </ul>
 
 
 Business &amp; Stakeholder Skills
 
 
 <ul>
 <li>
 Strong ability to translate
 
 business needs into AI platform capabilities
 
 </li>
 <li>
 Comfortable engaging with
 
 senior stakeholders
 
 across business and technology
 </li>
 <li>
 Strong communication and decision-making skills
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in
 
 banking or regulated industries
 
 </li>
 <li>
 Exposure to
 
 AI governance, model risk, and regulatory frameworks
 
 </li>
 <li>
 Experience with
 
 agentic AI or autonomous workflows
 
 </li>
 <li>
 Background in
 
 developer platforms or internal product platforms
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Minimum Requirements:
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 10+ years in
 
 platform, cloud, or enterprise engineering roles
 
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 LLM-based platforms and AI tooling
 </li>
 <li>
 Cloud and/or on-prem AI deployments
 </li>
 <li>
 APIs, microservices, data platforms, and event-driven architectures
 </li>
 <li>
 Deep understanding of:
 </li>
 <li>
 LLM architectures, prompt engineering, embeddings, vector databases
 </li>
 <li>
 AI model lifecycle management and MLOps/LLMOps
 </li>
 </ul>
 
 
 
 
 Email detailed Cv to absai.gamariel@rakbank.ae
 
</div>

Platform Owner-AI Platform

<div>Company Description 
At RAKBANK, we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance. 
Job Description 
Role Purpose:
The AI Platform Owner is responsible for owning, building, scaling, and operating the enterprise AI platform for the bank. This role leads the technology side of AI enablement, ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are secure, scalable, cost-effective, and reusable across business and technology use cases.
The role acts as the single point of accountability for the AI platform across cloud and on-prem environments, balancing rapid innovation with operational stability, governance, and regulatory compliance.
Key Objectives<ul><li>
Establish a bank-wide AI platform that enables fast, safe, and scalable AI adoption</li><li>
Enable multiple AI use cases across business, operations, risk, compliance, and technology</li><li>
Manage AI run &amp; change with strong cost, performance, and reliability controls</li><li>
Continuously evolve the platform in line with fast-paced advancements in LLMs and AI tooling</li></ul>
Key Responsibilities
1. AI Platform Ownership &amp; Strategy<ul><li>
Own the end-to-end AI platform roadmap, architecture, and operating model</li><li>
Define the AI platform vision aligned to enterprise technology and business strategy</li><li>
Decide build vs buy vs partner for AI tooling, models, and platforms</li><li>
Ensure the platform supports current and future AI paradigms (GenAI, Agentic AI, AI-augmented development, AI-Ops)</li></ul>
2. LLM &amp; AI Technology Management<ul><li>
Own lifecycle management of LLMs and SLMs (open-source and commercial)</li><li>
Manage:<ul><li>
Model selection and evaluation</li><li>
Fine-tuning, prompt strategies, embeddings, and vector stores</li><li>
Inference optimization, latency, throughput, and reliability</li></ul></li><li>
Enable multi-model and multi-provider strategy (cloud, on-prem, hybrid)</li></ul>
3. Platform Engineering (Cloud &amp; On-Prem)<ul><li>
Lead deployment and operations of AI platforms across:<ul><li>
Public cloud</li><li>
Private cloud / on-prem infrastructure</li></ul></li><li>
Ensure:<ul><li>
High availability, resilience, and scalability</li><li>
Secure data handling and isolation</li><li>
Compliance with data residency and regulatory requirements</li></ul></li><li>
Integrate AI platform with:<ul><li>
Core banking and enterprise systems</li><li>
APIs, event platforms, data platforms, and digital channels</li></ul></li></ul>
4. AI Use Case Enablement<ul><li>
Work closely with business, operations, risk, compliance, and technology teams to:<ul><li>
Identify high-value AI use cases</li><li>
Prioritize and onboard use cases onto the platform</li><li>
Provide reusable AI services, APIs, and components</li></ul></li><li>
Enable rapid experimentation while maintaining enterprise controls</li><li>
Support AI use cases across:<ul><li>
Customer experience</li><li>
Operations &amp; automation</li><li>
Risk, compliance &amp; fraud</li><li>
Engineering productivity (AI-augmented development)</li></ul></li></ul>
5. Run &amp; Change Management<ul><li>
Own run operations of the AI platform:<ul><li>
Monitoring, performance, incidents, and SLAs</li><li>
Model drift, accuracy, and quality controls</li></ul></li><li>
Own change delivery:<ul><li>
Platform enhancements</li><li>
New model onboarding</li><li>
Capability upgrades</li></ul></li><li>
Establish clear ownership, escalation, and support models</li></ul>
6. Cost Management &amp; Optimization<ul><li>
Manage AI platform costs across:<ul><li>
Model usage (tokens, inference)</li><li>
Compute, storage, and networking</li><li>
Tooling and licensing</li></ul></li><li>
Define and enforce:<ul><li>
Cost visibility and chargeback/showback models</li><li>
Usage limits and optimization strategies</li></ul></li><li>
Balance innovation speed vs cost efficiency</li></ul>
7. Governance, Risk &amp; Compliance<ul><li>
Embed Responsible AI principles into the platform</li><li>
Ensure compliance with:<ul><li>
Model risk management</li><li>
Data privacy and security</li><li>
Regulatory and audit requirements</li></ul></li><li>
Implement:<ul><li>
Model explainability and auditability</li><li>
Logging, traceability, and controls</li></ul></li><li>
Partner closely with Risk, Compliance, Legal, and Security teams</li></ul>
8. Vendor &amp; Ecosystem Management<ul><li>
Manage relationships with:<ul><li>
Cloud providers</li><li>
AI vendors and open-source communities</li><li>
System integrators and partners</li></ul></li><li>
Stay current with rapid AI market evolution and assess impact to the bank</li><li>
Continuously evaluate emerging technologies and platforms</li></ul>
9. Leadership &amp; Collaboration<ul><li>
Lead and grow a high-performing AI platform engineering team</li><li>
Work in close partnership with:<ul><li>
Enterprise Architecture</li><li>
Platform Owners</li><li>
Data, Digital, Security, and Engineering teams</li></ul></li><li>
Act as the AI technology evangelist within the organization</li></ul>
Leadership &amp; Delivery<ul><li>
Proven experience owning enterprise-scale platforms</li><li>
Strong run + change ownership mindset</li><li>
Ability to operate in fast-changing, ambiguous environments</li><li>
Experience managing cost, performance, and reliability at scale</li></ul>
Business &amp; Stakeholder Skills<ul><li>
Strong ability to translate business needs into AI platform capabilities</li><li>
Comfortable engaging with senior stakeholders across business and technology</li><li>
Strong communication and decision-making skills</li></ul>
Preferred Experience<ul><li>
Experience in banking or regulated industries</li><li>
Exposure to AI governance, model risk, and regulatory frameworks</li><li>
Experience with agentic AI or autonomous workflows</li><li>
Background in developer platforms or internal product platforms</li></ul> 

Qualifications 
Minimum Requirements:
Technical Expertise<ul><li>
10+ years in platform, cloud, or enterprise engineering roles</li><li>
Strong hands-on experience with:<ul><li>
LLM-based platforms and AI tooling</li><li>
Cloud and/or on-prem AI deployments</li><li>
APIs, microservices, data platforms, and event-driven architectures</li></ul></li><li>
Deep understanding of:<ul><li>
LLM architectures, prompt engineering, embeddings, vector databases</li><li>
AI model lifecycle management and MLOps/LLMOps</li></ul></li></ul></div>

Platform Owner (AI Platform)

Virtua Advanced Solution

<div>Company Description 
Trans Skills was built with a purpose: to make it easier for businesses to hire specialist talent and expand their workforce. Founded in 2014 as a licensed staffing provider for government and private sector businesses in the UAE, we are the preferred in-country HR solution partner for SMEs, global aggregators and large enterprises. Today, we serve clients in over 40 countries, and organizations throughout the Middle East and beyond use our integrated payroll technology and payment services to power their growth. 
Job Description<ul><li> 
Automation Architecture &amp; Platform Leadership</li><li>Architect, design, and implement enterprise-grade automation solutions using Power Apps, Power Automate, and Copilot Studio.</li><li>Define and enforce Power Platform governance, solution design principles, and environment strategies.</li><li>Oversee implementation of Dataverse data models, connectors, and integration logic for cross-system workflows.</li><li>Manage lifecycle of Power Platform solutions from ideation to productionization, ensuring scalability, performance, and compliance.</li><li>Enterprise Integration &amp; Fitment Definition</li><li>Lead fitment assessment discussions for new business process automation use cases.</li><li>Evaluate system interdependencies and define integration architecture between Power Platform, ERP, CRM, and custom applications.</li><li>Collaborate with enterprise architects to establish integration patterns leveraging APIs, Microsoft Graph, and Azure connectors.</li><li>Drive adoption of Copilot Studio agents for conversational automation and AI-based process augmentation.</li><li>Leadership &amp; Delivery Management</li><li>Lead cross-functional low-code development teams, ensuring technical quality and delivery efficiency.</li><li>Define delivery frameworks, reusable components, and best practices for citizen and professional developers.</li><li>Mentor team members on design, reusability, and governance across environments (Dev, Test, Prod).</li><li>Act as the technical authority and escalation point for Power Platform development challenges.</li><li>Stakeholder Engagement &amp; Business Partnership</li><li>Engage with business stakeholders to translate process requirements into technical automation blueprints.</li><li>Facilitate workshops and design sessions to identify automation opportunities and evaluate ROI.</li><li>Communicate solution strategies and progress to executive and business sponsors.</li><li>Ensure alignment of Power Platform strategy with organizational digital transformation roadmap.</li><li>Innovation &amp; Continuous Improvement</li><li>Promote AI-infused automation, leveraging Microsoft Copilot and AI Builder capabilities.</li><li>Identify opportunities to optimize cost, performance, and maintainability of solutions.</li><li>Stay abreast of Microsoft Power Platform roadmap and integrate emerging features proactively.</li><li>Foster a culture of reusability and low-code enablement across business functions.</li></ul> 
Qualifications<ul><li> 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related discipline.</li><li>10+ years of overall experience in application development and 5+ years in Power Platform technical lead position.</li><li>Proven expertise in Microsoft Power Platform &mdash; Power Apps (Canvas &amp; Model-driven), Power Automate, Power BI, Dataverse, and Copilot Studio.</li><li>Strong understanding of automation fitment, governance frameworks, and Center of Excellence (CoE) models.</li><li>Hands-on experience integrating Power Platform with SharePoint, Azure, SQL Server, and enterprise systems (Oracle/CRM).</li><li>Proficiency in PowerFX, SQL, and basic scripting for automation orchestration.</li><li>Demonstrated experience in leading multi-team delivery, managing sprints, and ensuring high-quality output.</li></ul></div>

Automation Lead (Power Platform Architect)- 6 months extendable contract

Emirates NBD

<div>
 
 
 About Emirates NBD
 
 
 
 
 
 
 Emirates NBD is a market leader across the MENAT (Middle East, North Africa and T&uuml;rkiye) region with a presence in 13 countries, serving over 20 million customers. The Emirates NBD Group has a total of 853 branches and 4,213 ATMs / SDMs. Emirates NBD is the leading financial services brand in the UAE with a Brand value of USD 3.89 billion.
 
 
 
 
 
 At the bank, we serve our customers and help them realize their financial objectives through a range of banking products and services including retail banking, corporate &amp; institutional banking, Islamic banking, investment banking, private banking, asset management, global markets and treasury, and brokerage operations.
 
 
 
 
 
 We are a key participant in the global digital banking industry, with 97% of all financial transactions and requests conducted outside of our branches. We also operate Liv, the lifestyle digital bank by Emirates NBD. With close to half a million users, it continues to be the fastest-growing digital bank in the region.
 
 
 
 
 
 
 What You Will Be Doing
 
 
 
 
 
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 The role is responsible for supporting the transformation and digitization of all operational units (Services) under Corporate &amp; Institutional Banking including
 
 Credit Risk, Treasury, Trade Finance, Corporate Account Services, and Payments Operations
 
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 The position drives process discovery, STP enhancement, automation delivery, Gen AI-enabled solutions, workflow optimization, and operational diagnostics to improve strengthen risk controls, optimize turnaround times, and deliver superior customer experience.
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 Manage key business and services stakeholders and work cohesively with product, IT, Operations, Risk, Compliance, and vendor teams to accelerate the bank&rsquo;s future-ready operation goal.
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 Transformation and Operational Analysis
 
 
 
 
 
 
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 Identify processes improvement and risk mitigation opportunities across Services units that are suitable for STP, light / robotic automation, and/or Gen AI enablement by
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 Review of existing KPIs such as STP rates, TAT, error rates, and recommend process improvements opportunities.
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 Conduct end-to-end process mapping, gap analysis, and redesign for future state.
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 Execute diagnostic studies on high-volume operational processes to identify automation opportunities.
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 Lead end-to-end process reviews, mapping, and redesign using methodologies and tools relevant to the banking industry.
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 Governance and Project Management
 
 
 
 
 
 
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 Develop and track project plans, timelines, budgets, and resource allocation.
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 Identify and mitigate project risks while ensuring quality delivery.
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 Solid technical understanding and ability to define and refine requirements through a project lifecycle.
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 Support IT transformation sprints, daily stand-ups, and weekly working groups.
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 Assist with governance dashboards, program updates, and benefits realization tracking.
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 Coordinate with Operations Heads, Product Owners, IT, Risk, and Compliance to ensure project alignment.
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 Liaise with internal teams and vendors (if applicable) for workflows, Light / Robotic automation, Gen AI
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 Prepare materials for Service EXCO, Program Boards, and Operational Risk committees.
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 Understanding of Gen AI &amp; Autonomous Agents
 
 
 
 
 
 
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 Partner with Data and AI teams to operationalize Gen AI use cases across Services.
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 Support development of AI-based copilots, decision-support tools, and automated quality-monitoring systems.
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 Track adoption, efficiency gains, and operational impact of AI solutions.
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 Support review and implementation of OCR workflow and Gen AI capabilities.
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 Driving Change Management
 
 
 
 
 
 
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 Drive cultural adoption of continuous improvement and operational excellence within Operations teams.
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 Excellent meeting, workshop, and conference facilitation skills, with proven knowledge of how to foster attendee participate and collaboration in small and large groups.
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 Deliver and track structured project management (Agile / PMO frameworks) for each transformation initiative.
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 Support where required for adoption, testing, and rollout phases for STP &amp; automation initiatives.
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 What We are Looking for
 
 
 
 
 
 
 
 
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 Bachelor&rsquo;s degree in business, Engineering, Data Science, or a related field.
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 Certification in Change Management or Project Management
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 Minimum 15+ years of relevant banking experience in process excellence, automation, or Transformation.
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 Proven experience in leading or supporting transformation projects from business or IT side e.g. Re-organization of Operating model, Re-platforming.
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 Must have hands-on understanding of C&amp;IB products including Trade Finance, Credit Risk and Treasury (Global Markets)
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 Exposure in Implementation/ working on AI Models/Gen AI
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 Exceptional problem solving and analytical thinking (quant and qual)
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 Exceptional relationship and conflict management skills
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 Exceptional communication and senior stakeholder management skills
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 Proven people/team management skills
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 Strong understanding of Gen AI /Agentic AI
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 Proven ability to lead, plan and manage change/projects in organizations.
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 Experience in using process improvement methodologies such as Lean,
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 The job holder will be an experienced professional with outstanding leadership capabilities.
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 Should possess understanding of best practices in the IT and Digital and Business Process Reengineering space.
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 Strong analytical and problem-solving skills with an ability to translate business requirements into an execution framework.
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 Excellent communication skills with the ability to articulate clearly to the various levels of the organization.
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 What We Offer You
 
 
 
 
 
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 Competitive salary package.
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 Strong emphasis on work-life balance and employee wellbeing.
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 Access to world-class Learning &amp; Development platforms for career growth.
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 Generous annual leave and comprehensive Private Healthcare coverage.
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 Preferential banking facilities for employees.
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 Why Join Us
 
 
 
 
 
 
 At Emirates NBD Services, we aim to be the employer of choice by helping you unlock your true potential through the right opportunities. We are reimagining the future of work to ensure every employee thrives in an environment that promotes growth, upskilling, and the development of digital skills. Our goal is to empower our employees to build meaningful careers with experiences that shape their future and contribute to Emirates NBD's success. Regardless of your background, location, or preferences, we want every employee to feel connected and engaged as part of the Emirates NBD services team.
 
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Senior Manager – Operations Transformation, C&IB

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