Data Analytics & AI Solutions Director
Role details
Job location
Tech stack
Requirements
Do you have experience in Tableau?, 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 advance 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 ThoughtSpot and Incorta etc.
Strong experience on Master data management, Data migration, Virtualisation 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., High-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 need.
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.