Data Analytics & AI Solutions Director
Listed on 2026-02-10
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Job Title:
Data Analytics & AI Solutions Director
City:
Zurich
State/Province:
Zurich
Posting
Start Date:
1/14/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future‑ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever‑changing world.
For additional information, visit us at Data Analytics and AI (DAAI) is part of Wipro Enterprise Futuring (WEF) Global Business Line (GBL).
Data Analytics and AI (DAAI) is part of Wipro Technology Services Global Business Line. 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 three pillars:
Business process transformation, Data transformation and Insights transformation. We leverage industry experience, deep technology expertise and a comprehensive portfolio of services combined with an agile and flexible engagement model. We are looking for a Sales Specialist who can be part of the DAAI group and help our regional 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, in order to grow Wipro business in a profitable manner.
Analytics Sales Specialist
Ideally 15+ years of relevant business experience gained within a large consulting or system integration organisation as either a consultant or sales professional, with at least 3 years of relevant Data Analytics sales background.
Sales
Experience:
Successfully carried revenue targets in Data and AI selling, account planning, solution selling with focus on growth KPIs, order booking, revenue, net billable headcount and operating margin.
Guide customers on Data Analytics & AI adoption journey with focus on keeping existing Data & Analytics investments relevant.
Expertise with advanced concepts of cloud data platform Azure, AWS, Databricks, Snowflake, Informatica. Understanding of various 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. Knowledge of new‑age analytical / visualisation platforms such as Thought Spot and Incorta etc.
Strong experience on master data management, data migration, virtualization technologies. Understand, analyse and recommend futuristic data and analytics roadmap.
Work with the Account teams, pre‑sales, consulting, solutions, delivery teams to create GTM strategy while developing and evangelizing value propositions to existing and new stakeholders within the account.
Exposure to sectors – manufacturing, consumer, banking, energy and utility.
Desired BackgroundHigh-energy driven professionals with sound business acumen, strong technical aptitude with rich experience in selling IT solutions.
Ability to sell an evolving and expanding lineup of integrated products around Salesforce that scales to meet customers’ needs.
Strong exposure to interacting with clients of all levels, in a variety of industries and across a broad geographical area.
Good understanding of Data Analytics domain and application & platform capabilities.
Maintain active engagement with new and existing leads through creative follow‑up communications designed to increase customer interest in DAAI solutions.
Must be creative, innovative and be able to work in a fast‑paced environment with the ability to abstract detail into larger patterns, familiarity with user‑centered analysis and evaluation techniques. Excellent communication and presentation skills.
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