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ai governance consultant f h

VINCI

<div><p>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.</p><p>
 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.</p><p>
&#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.</p><p>
 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.</p><p></p><p><b><br>
Job Summary</b></p><p>
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.</p><p><b>
Responsibilities</b></p><p>
Develop AI governance frameworks including ethical principles, risk classifications, and control requirements.<br>
Define oversight models and AI-specific KPIs in line with organizational governance needs.<br>
Evaluate and document the impact, transparency, and compliance status of AI use cases.<br>
Maintain Statements of Applicability (SoA) for AI controls based on risk assessments.<br>
Contribute to awareness programs related to AI usage and ethical concerns.<br>
Liaise with legal, compliance, and cybersecurity teams to ensure holistic coverage of AI governance.</p><p><b><br>
Requirements</b></p><p>
Minimum 5 years in governance, data privacy, cybersecurity, or AI risk domains.<br>
Strong knowledge of AI lifecycle governance, regulatory considerations, and risk frameworks.<br>
Familiarity with at least one AI governance platform (e.g., OneTrust, Collibra, or similar).<br>
Understanding of ISO/IEC 42001 or equivalent AI governance standards.<br>
Fluent English (written and spoken) is mandatory</p><p><b>
Preferred Certifications</b></p><p>
CIPT
<br>
CRISC, CISM</p><b><br>
Warum sollten Sie sich bewerben?</b><p><b><br>
Why join us ?</b></p><p>
 Our DNA: Trust, Entrepreneurial Spirit, Solidarity, Autonomy, Responsibility</p><p>
Joining us means becoming part of a large group while enjoying the agility and warmth of a human-sized company!</p><p>
 A personalized onboarding journey from day one, with tailored career follow-up</p><p>
 Opportunities for growth, training, and mobility within a fast-growing international group</p><p>
 Close and supportive management</p><p>
 Recognition of employee performance through a company savings plan</p><p>
 Pride in shared achievements</p><ul><li>&#65039; Respect for the environment and local communities in the countries where we operate (Human Rights Guide)</li></ul><p>
 Commitment to the health and safety of our employees</p><p>
 At VINCI Energies Oil &amp; Gas, CSR initiatives are deeply embedded in our activities, our ways of working, and ultimately, in our DNA</p><p>
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.</p></div>

AI Governance Consultant F/H

Deloitte

<div><div><div><b>Location
</b></div><p>Abu Dhabi, Amman - JDC
</p></div><div><div><p><b>Consultant | Technology &amp; Transformation</b></p><p><b>
About Deloitte</b>: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.</p><p><b>
Our Purpose</b></p><p>
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.</p><p>
Our shared values guide the way we behave to make a positive, enduring impact:</p><ul><li>
Lead the way</li><li>
Service with integrity</li><li>
Foster inclusion</li><li>
Collaborate for measurable impact</li></ul>
During your tenure as a <b>Consultant</b> you will demonstrate and develop your capabilities in the following areas<ul>
<li>Develop, implement, and maintain AI governance frameworks, policies, and standards aligned with industry best practices and regulatory requirements.</li>
<li>Identify, assess, and manage risks related to AI systems, including ethical, operational, legal, and reputational risks.</li>
<li>Collaborate with AI development, data science, legal, compliance, and business teams to embed governance and risk management throughout the AI lifecycle.</li>
<li>Monitor emerging AI regulations, standards, and ethical guidelines to ensure organizational compliance and proactive risk mitigation.</li>
<li>Conduct risk assessments and audits of AI models, algorithms, and data usage to identify potential biases, fairness issues, and security vulnerabilities.</li>
<li>Provide guidance and training to stakeholders on AI governance principles, risk management practices, and responsible AI use.</li>
<li>Support incident response and remediation efforts related to AI system failures or governance breaches.</li>
<li>Prepare reports and presentations for senior management and governance committees on AI risk posture and compliance status.</li>
<li>Promote a culture of responsible AI use and continuous improvement in governance practices.</li>
</ul><p><b>Leadership Capabilities:
</b></p><ul><li>Builds own understanding of our purpose and values; explores opportunities for impact.</li>
<li>Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent.</li>
<li>Understands expectations and demonstrates personal accountability for keeping performance on track.</li>
<li>Actively focuses on developing effective communication and relationship-building skills.</li>
<li>Understands how their daily work contributes to the priorities of the team and the business.</li>
</ul><p></p><p><b>Qualifications:</b></p><ul><li> Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Risk Management, or a related field.</li><li> Minimum 2-3 years of experience in AI governance, risk management, compliance, or related roles.</li><li> Strong understanding of AI technologies, machine learning models, and data management principles.</li><li> Knowledge of AI ethics, fairness, transparency, and accountability frameworks.</li><li> Familiarity with relevant regulations and standards such as GDPR, AI Act (EU), ISO/IEC 42001, and other emerging AI governance guidelines.</li><li> Experience conducting risk assessments, audits, or impact assessments related to AI systems.</li><li> Excellent analytical, communication, and stakeholder management skills.</li><li> Ability to translate complex technical and regulatory concepts into clear, actionable guidance.</li><li> Relevant certifications such as AIGP are a plus.</li></ul><p>
.</p></div></div></div>

Consultant | Cyber | Emerging Technology - AI | Jordan, UAE, KSA

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an experienced Power Platform Lead to architect, implement, and govern the enterprise-wide automation and low-code initiatives using Microsoft's Power Platform ecosystem (Power Apps, Power Automate, Power BI, Copilot Studio, and Dataverse).<br>
The ideal candidate will be responsible for driving end-to-end automation delivery, defining fitment and adoption strategy, and ensuring alignment between business needs and technology solutions. This role demands a blend of technical depth, leadership maturity, and stakeholder engagement skills to transform automation practices across the organization.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Automation Architecture &amp; Platform Leadership
</p></div><div><p>Architect, design, and implement enterprise-grade automation solutions using Power Apps, Power Automate, and Copilot Studio.
</p></div><div><p>Define and enforce Power Platform governance, solution design principles, and environment strategies.
</p></div><div><p>Oversee implementation of Dataverse data models, connectors, and integration logic for cross-system workflows.
</p></div><div><p>Manage lifecycle of Power Platform solutions from ideation to productionization, ensuring scalability, performance, and compliance.
</p></div><div><p>Enterprise Integration &amp; Fitment Definition
</p></div><div><p>Lead fitment assessment discussions for new business process automation use cases.
</p></div><div><p>Evaluate system interdependencies and define integration architecture between Power Platform, ERP, CRM, and custom applications.
</p></div><div><p>Collaborate with enterprise architects to establish integration patterns leveraging APIs, Microsoft Graph, and Azure connectors.
</p></div><div><p>Drive adoption of Copilot Studio agents for conversational automation and AI-based process augmentation.
</p></div><div><p>Leadership &amp; Delivery Management
</p></div><div><p>Lead cross-functional low-code development teams, ensuring technical quality and delivery efficiency.
</p></div><div><p>Define delivery frameworks, reusable components, and best practices for citizen and professional developers.
</p></div><div><p>Mentor team members on design, reusability, and governance across environments (Dev, Test, Prod).
</p></div><div><p>Act as the technical authority and escalation point for Power Platform development challenges.
</p></div><div><p>Stakeholder Engagement &amp; Business Partnership
</p></div><div><p>Engage with business stakeholders to translate process requirements into technical automation blueprints.
</p></div><div><p>Facilitate workshops and design sessions to identify automation opportunities and evaluate ROI.
</p></div><div><p>Communicate solution strategies and progress to executive and business sponsors.
</p></div><div><p>Ensure alignment of Power Platform strategy with organizational digital transformation roadmap.
</p></div><div><p>Innovation &amp; Continuous Improvement
</p></div><div><p>Promote AI-infused automation, leveraging Microsoft Copilot and AI Builder capabilities.
</p></div><div><p>Identify opportunities to optimize cost, performance, and maintainability of solutions.
</p></div><div><p>Stay abreast of Microsoft Power Platform roadmap and integrate emerging features proactively.
</p></div><div><p>Foster a culture of reusability and low-code enablement across business functions.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline.
</p></div><div><p>10+ years of overall experience in application development and 5+ years in Power Platform technical lead position.
</p></div><div><p>Proven expertise in Microsoft Power Platform &mdash; Power Apps (Canvas &amp; Model-driven), Power Automate, Power BI, Dataverse, and Copilot Studio.
</p></div><div><p>Strong understanding of automation fitment, governance frameworks, and Center of Excellence (CoE) models.
</p></div><div><p>Hands-on experience integrating Power Platform with SharePoint, Azure, SQL Server, and enterprise systems (Oracle/CRM).
</p></div><div><p>Proficiency in PowerFX, SQL, and basic scripting for automation orchestration.
</p></div><div><p>Demonstrated experience in leading multi-team delivery, managing sprints, and ensuring high-quality output.
</p></div></div><p>Nice to have
</p><div><div><p>Strong stakeholder management and executive communication.
</p></div><div><p>Ability to bridge business needs with technology capabilities.
</p></div><div><p>Excellent problem-solving, decision-making, and conflict-resolution skills.
</p></div><div><p>Strategic thinker with a delivery-focused mindset.
</p></div><div><p>Proven leadership in team mentorship and talent development
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Power Platform Solution Architect Expert (PL-600)
</p></div><div><p>Microsoft Certified: Power Platform Developer (PL-400)
</p></div><div><p>Microsoft Certified: Power Platform Functional Consultant (PL-200)
</p></div><div><p>Microsoft Certified: Power Platform Fundamentals (PL-900)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118725
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>04/11/2025
</p></div><div><p>Req. VR-118725</p></div></div></div><p></p>

Automation Power Platform Lead

Dicetek LLC

Overview <p>Lead Data Management Consultant role at Dicetek LLC.</p> 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

Nabat

<div>
 <p>
  Nabat is a climate tech venture developing AI and robotics solutions to enable ecosystem restoration and precision agriculture.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are on a mission to provide tools that help make the difference for our planet. We are looking for people that are self-driven, passionate, and with a sense of purpose.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking an exceptional Senior Program Manager to lead strategic initiatives, cross-functional alignment, and external partnerships. In this critical role, you will shape Nabat&rsquo;s strategic direction, ensure operational excellence, and foster impactful collaborations. This role combines strategic thinking, operational rigor, and partnership building to advance Nabat&rsquo;s mission.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strategic Planning: Lead the development and execution of Nabat&rsquo;s strategic plan, aligning initiatives with company goals and industry trends.
  </li>
  <li>
   Cross-functional alignment: Act as a Principal-level consultant, leading company-level programs, committees, and OKRs, providing expert guidance and recommendations to optimize performance.
  </li>
  <li>
   External Partnerships: Lead and manage complex external partnerships, collaborating closely with the Product team and other internal stakeholders to identify, negotiate, and execute strategic alliances that drive growth and innovation.
  </li>
  <li>
   Collaborative problem-solving: Work effectively across departments, building consensus and driving alignment to ensure successful project outcomes.
  </li>
  <li>
   Executive Engagement &amp; reporting: Engage with senior leadership to provide strategic updates, recommendations, and insights on strategic programs and functions&rsquo; performance.
  </li>
  <li>
   Operational excellence: Lead and implement tools, processes and governance to foster strategic alignment and operational efficiency
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Bring:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   8+ years of experience in program management, management consulting, or a related field in the technology industry.
  </li>
  <li>
   Proven track record of developing and executing successful strategic plans and initiatives.
  </li>
  <li>
   Deep expertise in project management, with the ability to lead complex, cross-functional projects.
  </li>
  <li>
   Exceptional communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
  </li>
  <li>
   Experience in partnership development and management, with a demonstrated ability to negotiate and execute strategic alliances.
  </li>
  <li>
   Strong leadership, with a passion for developing and empowering cross-functional colleagues
  </li>
  <li>
   Bachelor's or Master's degree in a relevant discipline; MBA or advanced degree preferred.
  </li>
 </ul>
 <p>
 </p>
</div>


Strategy & Programs Lead

ai71

<div>
 <strong>
  About AI71:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   we build AI products and deliver AI custom solutions for privacy and data sovereignty sensitive corporations and government entities
  </li>
  <li>
   we're a product company with a strong advisory/forward deployed team
  </li>
  <li>
   Our flagship product is Ask - a customizable AI enterprise platform for knowledge workers&rsquo; productivity. We&rsquo;re also building vertical AI products in construction, health, agriculture, and others
  </li>
  <li>
   We&rsquo;re a young (2023) but fast growing (140 people) company
  </li>
  <li>
   Our team comes from tier 1 product companies (DeepMind, Google, Amazon, Apple) and tier 1 strategy consulting firms (McKinsey QuantumBlack, BCG X)
  </li>
  <li>
   we're based in Abu Dhabi and have strong ties to the region - but we serve international customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Role: Squad PM - Data &amp; ML Evaluation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ll be the product owner for all things product data and ML evaluation for Ask. You&rsquo;ll define the data strategy, instrumentation, experimentation, and model evaluation loops that drive product decisions and model quality. You&rsquo;ll lead a data and eval squad, you&rsquo;ll partner closely with PMs, data scientists, ML engineers, and platform teams to ensure we ship measurable, safe, and delightful AI features. You&rsquo;ll also help ground our pricing strategy in data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Product Data &amp; Analytics
   </strong>
  </li>
  <ul>
   <li>
    <strong>
     Own the product data stack
    </strong>
    end-to-end across squads: telemetry, event schemas, tracking plans, data quality, warehousing, and accessibility of metrics both for our on-premise and our SaaS offerings.
   </li>
   <li>
    <strong>
     Define the product metrics framework
    </strong>
    (north stars, input metrics, leading indicators) and help stakeholders build reliable dashboards.
   </li>
  </ul>
  <li>
   <strong>
    ML Evaluation &amp; Experimentation
   </strong>
  </li>
  <ul>
   <li>
    <strong>
     Build/own ML evaluation loops
    </strong>
    : curate test sets, define KPIs (quality, safety, bias, latency, cost), run offline/online evals, help evaluate agents, tools, finetunes, and retrieval changes; maintain an eval pipeline that&rsquo;s reproducible and automated in CI
   </li>
   <li>
    <strong>
     Lead experimentation
    </strong>
    : design and analyze A/B tests - help create a framework for testing our customers&rsquo; agents and our &ldquo;hyper-parameters.
   </li>
  </ul>
  <li>
   <strong>
    Strategy &amp; Governance:
   </strong>
  </li>
  <ul>
   <li>
    <strong>
     Ground pricing strategy in data
    </strong>
    : analyze feature/cost relationships, develop value-based pricing models, and create metrics that link usage patterns to pricing tiers.
   </li>
   <li>
    <strong>
     Set data standards
    </strong>
    : event naming, governance, PII handling, retention, and privacy-by-design in collaboration with Security/Legal teams.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  What You&rsquo;ve Done (Requirements)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    5&ndash;8+ years
   </strong>
   in product roles with a strong engineering or data background (e.g., software, data engineering, ML engineering, analytics engineering) in tech product companies
  </li>
  <li>
   Proven ownership of instrumentation, analytics, and experimentation for a product surface or platform
  </li>
  <li>
   Deep comfort with SQL and experimentation stats (power, MDE, CUPED, guardrail metrics); able to sanity-check analyses and run your own when needed
  </li>
  <li>
   Practical experience working with ML-powered products and their evaluation (offline test sets, online metrics, drift/monitoring)
  </li>
  <li>
   Strong product sense + stakeholder management; able to drive clarity across PM, DS, Eng, and Execs
  </li>
  <li>
   Comfortable using AI tools to prototype analyses or small utilities (e.g., generate code for ETL, dashboards, or validators)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on with Amplitude (or similar product analytics) and MLflow (or similar experiment tracking)
  </li>
  <li>
   Experience with RAG/LMM evals, safety/guardrail metrics, and red-teaming
  </li>
  <li>
   Familiarity with data modeling (e.g., dbt), feature stores, and observability (e.g., Monte Carlo, Great Expectations)
  </li>
  <li>
   Experience in privacy-sensitive / regulated environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How You&rsquo;ll Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Embedded in a &ldquo;Data and Eval&rdquo; squad within Ask, collaborating with the rest of the Ask team (~50 engineers, ~4 PMs, 1 PMM, and ~3 Product Designers)
  </li>
  <li>
   Close partnership with customers, Security/Legal (for data governance), Strategy and Finance teams
  </li>
 </ul>
</div>


Product Manager: Data and Evaluation

EPAM Systems

<div><p>We are seeking a highly technical, proactive and people-oriented <b>Data Delivery Manager with a strong foundation in data science and AI to join our Data &amp; Analytics practice</b> in Abu Dhabi, UAE. As a key member of our team, you will lead the delivery of complex data programs and projects, managing multiple workstreams across diverse domains. You will collaborate with both local and global delivery teams, leveraging your expertise in data science, cloud technologies and program management to drive impactful business outcomes.</p><p><b>
Responsibilities</b></p><ul><li>
Oversee end-to-end client delivery for data science and AI projects, ensuring successful outcomes aligned with EPAM processes</li><li>
Manage client relationships and expectations, representing delivery at the governance level</li><li>
Coordinate multiple activity streams and clients, ensuring seamless delivery across finance, sourcing, implementation and business objectives</li><li>
Work closely with multi-disciplinary teams of product owners, architects, data scientists, engineers and quality assurance to drive estimates, delivery plans and retrospectives</li><li>
Proactively identify and manage engagement risks, escalating major issues early</li><li>
Participate in business development efforts for both existing clients and new projects, continuously identifying new opportunities in data science and AI</li></ul><p><b>
Requirements</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus</li><li>
Client-facing skills and business fluency in English; proficiency in Arabic is a significant advantage</li><li>
Proficiency in data management concepts such as data governance, data quality, data integration and data lifecycle management</li><li>
Advanced experience in data science, machine learning and AI concepts, including model development, deployment and monitoring</li><li>
Proven track record of successfully managing complex data and AI projects from initiation to delivery</li><li>
Experience leading and managing teams, including hiring, mentoring and performance management</li><li>
Excellent negotiation and communication skills for collaborating with internal and external stakeholders</li><li>
Solid understanding of data technologies, including databases (SQL, NoSQL), data warehousing solutions (e.g. Snowflake, Redshift), ETL tools and data science platforms (e.g. Databricks, SageMaker)</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and their data and AI-related services</li><li>
Hands-on experience implementing data delivery pipelines, data warehouses and data lakes is a plus</li><li>
Strong knowledge of data modeling, database design principles and statistical analysis</li></ul><p><b>
We offer</b></p><ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Delivery Manager – Data Science & AI Focus

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