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WNS - Senior Director/Leader - Analytics - Capability & Innovation (15-20 yrs)
Being a fresh graduate with no experience, I started at WNS as an intern and got great industrial exposure along with the opportunity to explore diverse process functions, improve my skills, meet new people and have fun at the same time. With this foundation, I was able to begin my career as a senior associate at this very same place working under people, who were not just my managers but mentors as well. What I like most about working at WNS...
KRITI SHARMA, ASSISTANT MANAGER - OPS
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Sr. Director - Analytics - Capability & Innovation Leader
Will lead a team of highly qualified Data Scientists, Business Analysts, UI/UX specialists and Data Engineers to :
1. Conceptualize, design and build differentiated industry specific and x-industry products or productized solutions
2. Define an agenda for how to apply cutting-edge AI/machine learning techniques to solve topical customer business problems across industries
3. Frame business problems into scalable solutions by leveraging the state-of-the-art machine learning and related technologies
4. Manage end to end delivery of data science projects/PoCs including requirement gathering, solution design, commercial construct, algorithm build and deployment
5. Develop new business and grow out existing accounts. Drive data science capability augmentation in text/image/video analytics and other newer areas (e.g. IoT analytics)
6. Drive data science capability augmentation in text/image/video analytics and other newer areas (e.g. IoT analytics)
7. Research, contract, negotiate, and close new partnerships; co-create innovative solutions with partners
9. Bring innovation, a strategic perspective, a strong sense of evangelism, and an ability to prioritize and execute on a fast-moving set of go to market priorities, competitive pressures, and client driven initiatives.
Basic Qualifications :
1. BS/MS in Computer Science, Machine Learning, Statistics or in another highly quantitative field.
2. 15 to 20 years of experience in advanced analytics across multiple industries.
3. Strong fundamentals in problem solving, algorithm design, complexity analysis, and data visualization.
4. Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment.
5. Exhibits excellent judgment; sets high standards; thinks strategically, but stays on top of tactical execution.
6. Excellent communication skills, both written and oral with both technical and business people; ability to speak at a level appropriate for the audience.
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