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Company Description
Mannai Corporation QPSC is a leading diversified company based in Qatar, offering a wide range of products and services. Its core operations span sectors including automotive, heavy equipment, IT, luxury goods, retail, engineering services, logistics, and more. With over 20,000 team members, Mannai follows “The Mannai Way,” a guiding code to serve clients, stakeholders, and the wider community. Known for innovation and excellence, the company prioritizes quality, safety, and effective risk management. Mannai has been publicly listed on the Qatar Exchange since August 8, 2007.
At #MannaiTechnologies, we believe that talent is more than just skill, it’s mindset. “If you have the aptitude & attitude, then we will give you the altitude”
We’re not just offering a job, we’re offering a launchpad. Whether you’re a seasoned expert or a rising star, if you’re ready to challenge the status quo and grow beyond limits, we want to hear from you.
Your journey to new heights starts here.
Why Join Mannai IT Solutions?
Opportunity to work with one of Qatar’s leading IT solution providers.
Exposure to top global technology brands and enterprise-level products.
Growth-oriented environment with continuous training and career development.
Competitive compensation with performance incentives.
Location: Pune, India (Supporting GCC & International Operations)
Experience: 10–15+ Years
Role Level: Director / Senior Director
Role Overview
The Company is seeking a Director – Data, AI & Digital Solutions to establish and lead a Global Data & AI Center of Excellence (CoE) based in Pune, India. The role will drive the strategy, design, development, delivery, and growth of Data & AI solutions across GCC, and International markets.
This leadership position combines practice development, delivery governance, solution consulting, innovation, customer engagement, and business growth responsibilities. The successful candidate will build a world-class Data & AI organization and work closely with regional sales, technology partners, and customer stakeholders to deliver measurable business outcomes.
Key Responsibilities – Leadership & CoE Development
• Build and scale a high-performing Data & AI Center of Excellence.
• Hire, mentor, and lead Data Engineers, AI/ML Engineers, Architects, Data Scientists, and Consultants.
• Hire and build the Sales team responsible for selling Data & AI Solutions
• Define organizational structures, competency frameworks, and capability roadmaps.
• Establish governance models, delivery methodologies, and best practices.
• Foster a culture of innovation, accountability, continuous learning, and delivery excellence.
Practice Leadership & Growth
• Define and execute the Data & AI practice strategy.
• Develop service offerings, accelerators, frameworks, and reusable intellectual property.
• Drive utilization, profitability, capability development, and business growth.
• Build strategic partnerships with hyperscalers and technology vendors.
• Contribute to annual business planning and revenue growth initiatives.
Delivery Leadership
• Own end-to-end delivery of Data & AI programs across multiple customer engagements.
• Establish delivery governance, quality assurance, risk management, and escalation frameworks.
• Drive Agile, DevOps, MLOps, and AI lifecycle management practices.
• Ensure projects are delivered on time, within budget, and aligned with customer expectations.
• Define delivery KPIs, utilization targets, and performance metrics.
Solution Design & Technical Leadership
• Lead architecture and delivery of enterprise data platforms, lakehouses, ETL ecosystems, and AI solutions.
• Provide architectural oversight for AI, GenAI, Agentic AI, Analytics, and Data Engineering programs.
• Ensure scalable, secure, resilient, and high-quality implementations.
• Establish standards for data governance, security, compliance, and operational excellence.
Executive Client Engagement
• Serve as a trusted advisor to CIOs, CTOs, CDOs, CISOs, and business leaders.
• Lead executive workshops, discovery sessions, and transformation discussions.
• Translate business challenges into Data & AI roadmaps and measurable outcomes.
• Present solution strategies and business cases to executive stakeholders.
• Drive customer satisfaction and long-term strategic partnerships.
Business Development & Pre-Sales
• Lead solutioning for strategic Data & AI opportunities across GCC and international markets.
• Own technical responses for RFPs, RFIs, proposals, and customer presentations.
• Collaborate with sales teams to qualify opportunities and define winning strategies.
• Support commercial modelling, effort estimation, staffing plans, and solution costing.
• Contribute to pipeline growth, deal conversion, and revenue targets.
AI & Innovation
• Drive development of AI-led solutions including Predictive Analytics, Machine Learning, and Intelligent Automation.
• Lead enterprise adoption of Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, and Agentic AI.
• Develop reusable frameworks and accelerators for rapid customer adoption.
• Promote Responsible AI, AI Governance, and enterprise AI best practices.
Preferred Technology Exposure
Data Platforms: Cloudera, Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Lakehouse Architectures
Cloud Platforms: Microsoft Azure (preferred), AWS, Google Cloud
AI Platforms: Azure OpenAI, Databricks Mosaic AI, Vertex AI, Amazon Bedrock, LangChain, LlamaIndex
MLOps: MLflow, Kubeflow, Azure ML
Integration: Informatica, APIs, Streaming Platforms
BI & Analytics: Power BI, Tableau
Experience Requirements
• 12–15+ years of experience in Data, Analytics, AI, and Digital Transformation.
• Minimum 5 years leading Data & AI practices, CoEs, or large delivery organizations.
• Proven experience managing teams of 30–100+ professionals.
• Strong experience in enterprise-scale Data & AI programs.
• Experience with global delivery models and distributed teams.
• Exposure to GCC, Middle East, Europe, or International markets preferred.
• Strong executive communication and stakeholder management skills.
Success Measures (First 12 Months)
• Establish and scale the Global Data & AI CoE.
• Build a high-performing team of architects, engineers, and AI specialists.
• Support strategic pursuits and customer engagements across GCC.
• Develop reusable accelerators and service offerings.
• Deliver successful customer programs and measurable business outcomes.
• Contribute significantly to Data & AI revenue growth.