Bangalore, KA, India
Actively hiring, first seen by us 2 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead multiple AI/ML, data science and GenAI client engagements through to production
Lead solution architecture and technical solutioning for AI and advanced analytics opportunities
Own senior client relationships, governance, escalations and executive reviews
Lead and mentor data scientists, ML and AI engineers, and technical leads
Support pre-sales, RFP/RFI responses, proposals and client workshops
Lead multiple AI/ML, Data Science and GenAI engagements, ensuring quality, timelines, resource utilization and business outcomes.
Lead solution architecture and technical solutioning for AI/ML, GenAI and advanced analytics opportunities.
Build relationships with senior client stakeholders and own engagement governance, communication and executive reviews.
Lead and mentor Data Scientists, ML Engineers, AI Engineers, GenAI specialists and technical leads.
Support pre-sales, RFP/RFI responses, proposals, solution presentations and client workshops.
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 8 and day 57.
At WNS Global Services, jobs usually come down by about day 2.
From 9,518 similar postings that came down, and 71 of WNS Global Services’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Job Description Role OverviewWe are seeking an experienced Director to lead AI/ML, Generative AI and Data Science engagements across multiple clients. The role requires strong delivery leadership, solution architecture, technical expertise, client management and people leadership to drive scalable AI solutions and business outcomes.Key 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 challenges.Solutioning & 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 platforms.Client & 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 growth.People & 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 learning.Business 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 ROI.Technical 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 solutions.Experience & 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. Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics or a related discipline.Leadership 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 resolution.Measures 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
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Role OverviewWe are seeking an experienced Director to lead AI/ML, Generative AI and Data Science engagements across multiple clients. The role requires strong delivery leadership, solution architecture, technical expertise, client management and people leadership to drive scalable AI solutions and business outcomes.Key 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 challenges.Solutioning & 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 platforms.Client & 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 growth.People & 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 learning.Business 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 ROI.Technical 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 solutions.Experience & 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. Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics or a related discipline.Leadership 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 resolution.Measures 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.
Graduate or above
WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.
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Bangalore, KA, India
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