AI Data Lead

Datamatics; Mumbai; On-site; INR 23,101,000 - 38,501,000; Full time

Job summary

Datamatics is seeking an entrepreneurial AI Data Leader to spearhead the organization's data and AI strategy with a player-coach approach. You will mentor teams, own P&L for Data & AI across multiple regions, and drive enterprise-scale data platforms, AI/ML Ops, and responsible AI programs.

You will translate complex technical capabilities into measurable business outcomes, partner with product and engineering, and lead consultative selling across regional markets.

Qualifications

• 15+ years in Data & AI with P&L ownership across regions
• End-to-end data transformations and enterprise-scale platforms
• Hands-on expertise in cloud data services and AI/ML lifecycle
• Strong leadership, consulting selling and deal orchestration
• Education: Bachelor’s degree, MBA

Responsibilities

• Define and drive Data & AI strategy including data infrastructure and models
• Own P&L for Data & AI across MENA, UK & Europe
• Establish regional delivery centers in MENA, UK & Europe
• Lead AI/ML lifecycle from research to deployment and monitoring
• Provide architectural guidance across Azure, Databricks, GCP and Informatica
• Ensure governance, quality, security and compliance practices
• Drive sales enablement, RFP responses and multi-service deals
• Mentor senior managers and foster inclusive culture
• Collaborate with product and engineering to embed AI in the roadmap

Skills

Data strategy

P&L ownership

GT M/Go-to-Market

Leadership

Azure Data Services

Databricks

Informatica

Snowflake

GCP

AI/ML lifecycle

Education

Bachelor's degree

MBA

Tools

Azure Data Services

Databricks

Informatica

Snowflake

GCP

Job description

Field Details Location

Dubai

Language Preference

Arabic ,English

Role Summary and Overview

The AI Data Leader spearheads the organizations data and AI strategy, aligning it with business goals and product priorities in a player-coach capacity that blends technical depth with strategic vision while mentoring and developing teams.

We are looking for an entrepreneurial, value-driven senior Data & AI executive with 15+ years leading Data and AI transformations across MENA, UK & Europe, proven in Data & AI practice pipeline forecasting, P&L ownership, Go-To-Market and Delivery Excellence, who builds high-performing diverse teams, delivers enterprise-scale data platforms, AI/ML Ops and responsible AI programs, and translates complex technical capability into measurable business outcomes as a trusted C-suite advisor and industry thought leader.

Key Responsibilities

• Define and drive the organizations Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent.
• Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership.
• Establish and grow regional delivery centers serving MENA, UK & Europe.
• Lead the AI/ML lifecycle from research and prototyping through deployment and monitoring to improve detection accuracy, reduce false positives and uncover new use cases.
• Create and scale unified DataOps, BI/DW and AI teams for Advanced Analytics using agile practices across tools, code and cloud infrastructure.
• Define and execute enterprise Data & AI strategy covering architecture, data platform roadmaps and productization of AI models.
• Provide architectural guidance and hands-on oversight across Azure Data Services (Data Factory, Synapse, Data Lake), Azure Analytics, Databricks, GCP and Informatica.
• Review and validate data engineering pipelines, cloud architecture designs, data platform builds and AI/ML model deployments, embedding data governance, data quality, security and compliance best practices.
• Track emerging AI, GenAI and cloud data platform technologies and bring relevant innovations to client solutions.
• Collaborate with Product and Engineering to embed AI into the product roadmap and customer solutions with production-ready, continuously optimized models.
• Drive consultative selling and commercial capture: lead RFP responses, develop sales toolkits and playbooks, and orchestrate multi-service-line structured deals.
• Advise clients across sectors and translate business problems into data and AI solutions.
• Partner with best-in-breed vendors to accelerate capability while building internal data and AI foundations and growing the Data & AI partnership landscape.
• Ensure AI/ML initiatives are ethical, explainable and compliant with regulations such as AML and data protection laws.
• Build and lead a high-performing team, mentoring engineers in Data/AI/ML practices and fostering an inclusive, collaborative culture with communities of practice.
• Hire, coach and mentor senior managers and Data & AI capability leaders, driving growth-minded culture and high retention of top talent.
• Enhance Clients position as Trusted Thinking Partner of Choice by developing innovative data transformational solutions and building Client brand through industry events, conferences, Data/AI marketing initiatives and POVs.

Qualifications and Experience

Must Have

• AI Certifications & Relevant Project Experiences.
• 15+ years in Data & AI, including P&L ownership, Go-To-Market and Delivery Excellence across MENA, UK & Europe.
• Proven leadership in end-to-end Data transformations and enterprise-scale data platforms across multiple countries and verticals.
• Deep hands-on expertise in Azure Data Services, Databricks, Informatica, Snowflake and GCP, with strong command of data engineering, cloud architecture and AI/ML model lifecycle.
• In-depth knowledge of end-to-end Data & AI practices, architectures, ML techniques and Data/AI trends and transformation.
• Demonstrated consultative selling, RFP response and multi-service-line deal orchestration against sales targets.
• Experience building, growing and mentoring large, diverse teams including senior managers and Data & AI capability leaders.
• Development and delivery oversight across cloud, on-prem and hybrid models.
• Strategic thinking to align technology with business objectives.
• Education: Bachelors degree, MBA.

Good to Have

• Experience at Tier 1 advisory, consulting or large systems integrator firms, preferably with an onsite-offshore model.
• Experience in ethical AI, regulatory compliance and explainable AI.
• Experience orchestrating global, matrixed deal structuring teams across TCO, multi-tower, digital, consulting and managed services deal types.
• Strong references from key stakeholders (buyers, influencers) in large local enterprises and top buyers within and adjacent to the industry.

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