Role OverviewWe are seeking an experienced Director to lead AI/ML Generative AI and Data Science engagements across multiple clients. The role requires robust delivery leadership solution architecture technical expertise client management and people leadership to drive scalable AI solutions and business ResponsibilitiesDelivery LeadershipLead multiple AI/ML Data Science and GenAI engagements ensuring quality timelines resource utilization and business outcomes. Establish delivery governance engineering standards and best practices. Drive solutions from proof of concept to production while managing risks escalations and delivery & Technical LeadershipLead solution architecture and technical solutioning for AI/ML GenAI and advanced analytics opportunities. Translate business challenges into scalable commercially viable solutions. Drive technical discussions project scoping effort estimation and client presentations. Provide architectural direction and evaluate emerging technologies and & Stakeholder ManagementBuild relationships with senior client stakeholders and own engagement governance communication and executive reviews. Act as the primary interface between clients internal leadership and delivery teams. Manage expectations resolve escalations and identify opportunities for account & Practice ManagementLead and mentor Data Scientists ML Engineers AI Engineers GenAI specialists and technical leads. Drive performance management career development succession planning talent retention and capability building. Oversee resource planning and develop second-line leaders while fostering accountability innovation and continuous Growth & ConsultingPartner with sales consulting and account leadership to identify AI/ML/GenAI opportunities.



Support pre-sales RFP/RFI responses proposals solution presentations and client workshops. Drive account expansion reusable accelerators and intellectual property while demonstrating business value and Skills & CompetenciesStrong Python proficiency and expertise in AI/ML engineering Data Science statistics predictive modelling and advanced analytics. Deep understanding of machine learning model lifecycle management deployment monitoring and MLOps. Hands-on exposure to Generative AI LLMs RAG agentic AI prompt engineering vector databases and enterprise GenAI applications. Familiarity with Scikit-learn TensorFlow PyTorch LangChain Hugging Face and cloud platforms such as Azure AWS or GCP. Ability to guide architecture and evaluate scalable technical & Qualifications14 years of experience in Data Science AI/ML AI Engineering Advanced Analytics or technology consulting. Proven track record of managing multiple AI/ML/GenAI engagements large technical teams senior client relationships solution architecture and pre-sales activities. Bachelors or Masters degree in Computer Science Engineering Statistics Mathematics or a related CompetenciesExcellent communication presentation stakeholder management influencing and negotiation skills. Strong problem-solving strategic thinking decision-making and execution capabilities. Demonstrated ownership people leadership mentoring coaching and conflict of SuccessSuccessful delivery of AI/ML/GenAI engagements high client satisfaction conversion of solutioning opportunities into projects improved delivery efficiency and technical quality development of strong technical leaders and sustainable portfolio growth through innovation and account expansion.

Qualifications :

Graduate or above

Remote Work :

No

Employment Type :

Full-time

📌 Director-Data Science (Bengaluru)
🏢 Wns Global Services
📍 Bengaluru