Auf einen Blick
- Aufgaben: Join Wipro's DAAI team to transform businesses with cutting-edge Data Analytics and AI solutions.
- Arbeitgeber: Wipro is a global leader in IT services, dedicated to creating intelligent enterprises.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for growth and impactful work in a dynamic environment.
- Warum dieser Job: Be part of a high-profile team shaping the future of data and AI for top clients.
- Gewünschte Qualifikationen: 15+ years in consulting or sales, with expertise in Data Analytics and AI solutions.
- Andere Informationen: This role offers visibility and strategic importance, perfect for ambitious professionals.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
At Wipro, Data Analytics and AI (DAAI) is a Global Service Line (SL) within Wipro Enterprise Futuring (WEF) Global Business Line (GBL). The objective of this Service line is to help client organisations transform to an “ Intelligent Enterprise ” – A Digital enterprise that infuses trustworthy AI into the Business Processes, supported by actionable insights, powered by curated data. The D&A team is dedicated to this vision by working across 3 pillars : Business process transformation , Data transformation , and Insights transformation . We are on the lookout for a Sales Specialist who can be part of the DAAI family and help our Swiss clients in shaping the right vision, strategy, and execution model of their Data, Analytics & AI products, services, processes, and propositions to their internal and external clientele.
Desired Skills
- 15+ years of relevant business experience gained within a large Consulting or SI organization as either a consultant and / or sales professional, with at least 3 years of relevant sales experience.
- Guide customers on their Data Analytics & AI adoption journey with a focus on keeping existing Data and Analytics investments relevant.
- Understand, analyze, and recommend a futuristic data and analytics roadmap.
- Ability to envision and design new-age solutions including but not limited to white boarding, architecture, and functional building blocks of architecture.
- Well-versed with advanced concepts of cloud data platforms – Azure, AWS, Databricks, Snowflake, Informatica, and understanding of different data, analytics, and AI workloads on cloud.
- Working experience on operational analytics using SAP BW, BO, Qlik, Tableau, etc.
- Knowledge of self-service analytical tools and new age analytical / visualization platforms such as ThoughtSpot and Incorta.
- Strong experience in Master Data Management, Data Migration, and Virtualization technologies.
- Knowledge of Big Data management, Real-time integration, Product Information Management, and Data modeling / architecture.
- Identification of grey areas in client’s strategy and marrying it with industry trends and Wipro’s capabilities to position / land the right proposition in front of client stakeholders.
Role & Responsibilities :
- Work with the Account teams, Pre-sales, Consulting, Solutions, and Delivery teams to identify and create the GTM around new propositions while developing and evangelizing these value propositions to existing and new stakeholders within the account.
- Build proposals and presentations for his / her own pursuits.
- Articulate, present, and develop propositions along with senior customer stakeholders.
- Identify and nurture cross-sell and up-sell opportunities to build business.
- Have a sharp focus on the growth KPIs – Order booking, Revenue, Net billable headcount, and Operating margin.
- Revenue target-based experience in Data and AI selling, Account Planning, and Solution Selling.
- Knowledge and understanding of AI ecosystem’s solutions and platforms (Generative AI, knowledge mining, chat assistants, feature store, and graph databases).
- Experience working in sectors – Manufacturing, Consumer, Banking, Energy, and Utility.
- This is a strategically important and highly visible role : success within these high-profile accounts will provide an excellent opportunity to grow within Wipro.
Seniority level
- Director
Employment type
- Full-time
Job function
- Business Development
- Industries : IT Services and IT Consulting
Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person’s race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
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Research Engineer / Research Scientist, Multimodal Arbeitgeber: Anthropic Limited
Kontaktperson:
Anthropic Limited HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Research Engineer / Research Scientist, Multimodal
✨Tip Number 1
Familiarize yourself with the latest trends in Data Analytics and AI, especially those relevant to the Swiss market. This will help you engage in meaningful conversations with potential clients and demonstrate your expertise during interviews.
✨Tip Number 2
Network with professionals in the Data Analytics and AI space, particularly those who have experience in consulting or sales roles. Attend industry events or webinars to connect with key players and gain insights that can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific case studies or examples where you've successfully guided clients through their Data Analytics and AI adoption journey. Highlight your ability to identify grey areas in strategies and how you’ve aligned them with industry trends.
✨Tip Number 4
Showcase your knowledge of cloud data platforms and self-service analytical tools during discussions. Being well-versed in technologies like Azure, AWS, and Tableau will demonstrate your technical proficiency and readiness for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Research Engineer / Research Scientist, Multimodal
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Research Engineer / Research Scientist position at Wipro. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 15+ years of relevant business experience, particularly in consulting or sales roles. Be specific about your achievements in Data Analytics and AI, and how you've contributed to business transformation.
Showcase Technical Skills: Detail your proficiency with cloud data platforms like Azure, AWS, and Databricks, as well as your experience with operational analytics tools such as SAP BW and Tableau. Mention any knowledge of self-service analytical tools and Big Data management.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for helping clients transform into Intelligent Enterprises. Use specific examples to illustrate your ability to identify opportunities and develop strategic propositions.
Wie du dich auf ein Vorstellungsgespräch bei Anthropic Limited vorbereitest
✨Showcase Your Experience
With 15+ years of relevant business experience, it's crucial to highlight specific projects or roles that demonstrate your expertise in Data Analytics and AI. Be prepared to discuss how you've guided clients on their adoption journey and the impact of your contributions.
✨Understand the Client's Needs
Research Wipro's approach to transforming businesses into Intelligent Enterprises. During the interview, articulate how you can help Swiss clients shape their vision and strategy for Data, Analytics, and AI products, ensuring you align your skills with their needs.
✨Demonstrate Technical Knowledge
Be well-versed in advanced cloud data platforms like Azure, AWS, and Databricks. Prepare to discuss your experience with operational analytics tools such as SAP BW, Qlik, and Tableau, and how these can be leveraged to create value for clients.
✨Prepare for Strategic Discussions
This role requires identifying grey areas in client strategies. Be ready to discuss how you would marry industry trends with Wipro’s capabilities to propose effective solutions. Think about examples where you've successfully identified opportunities for cross-sell and up-sell.