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Job Description

Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
In this role as Brand Sales Specialist– Data & AI Software, you lead a team of Solution Specialists across the country that help Clients drive business outcomes using IBM’s Data & AI Software Offerings.
The technology areas that you will be responsible are as under
  • Data Engineering – Data Quality, Data Pipeline, Data Stage ( ETL ), Enterprise Datawarehouse, watsonx.data ( Open Data Lakehouse ), Data Observability, Data Governance
  • Data Science – watsonx.ai ( IBM’s Gen AI Platform ), AI Governance ( watsonx.gov ), Customer Care (wastonx.Assistant )
  • Visualisation ( Cognos )
  • IBM Planning Analytics
  • IBM Governance Risk and Compliance Offering ( GRC )
  • Digital Business Automation – Intelligent Data Capture, BPM / BRE

Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, let’s talk.


Lead a team of Solution Specialists across the country. P&L Owner for the Data & AI Business


  • A BSS/BPS for IBM’s Data & AI portfolio is responsible for working with clients /partners to create thought leadership of the Data & AI portfolio. He/She needs to attain expertise on industry domain wrt key clients and addressable market and should demonstrate an aptitude to be seen as a Trusted Advisor/SME across all steps of the AI Ladder – right from Collect, Organise, Analyse and Infuse.
  • Should be proficient at working with line of business owners to quantify the value of the solution to the client, and be able to effectively collaborate across the IBM stakeholders and our business partners.
  • Revenue – Responsible for Sales Budgets and Growth Objectives with respect to the portfolio across the country
  • Channel Strategy- To help grow existing Ecosystems capacity, Identify New Partners and work with the Channel Managers to onboard them and also ensure present capacity is utilized in order to ensure BP’s don’t lose focus from our Core Products and existing clients.
  • Develop Industry Use Cases & Sales Play -Build and execute on industry specific use cases and Sales Plays
  • Demand Generation : Planning key demand generation activities along with marketing team and design Marketing program to increase the share voice for the Data & AI SW portfolio through events and social Media campaign.
  • Thought Leadership : Engage with selected C-Suite Executives of Enterprise & Commercial organizations to share best practices around the Data & AI portfolio and build Unique repeatable Use Cases for each Industry.
  • Client Success : Ensure higher client satisfaction ( NPS Score ) and 100% deployment rate.


Required Technical and Professional Expertise


  • 15 years of experience selling infrastructure software or applications software.
  • Minimum 7+ years of experience in selling Data & AI Solutions like ETL, EDW, Data Fabric, Data Governance, Data Science / Model Ops, MDM
  • Experience working with partners in complex implementation projects, including global system integrators and packaged software vendors.
  • People Management Experience Preferred
  • Ability to work with sales engineers and customer’s technical leads to understand existing software estate Identify Business pain points and build business cases for proposed solution.
  • Experience with Complex Solution selling and commercial and legal negotiations skills working with procurement, legal, and business teams.
  • Ability to leverage C-level relationships with executives.


Preferred Technical and Professional Expertise


  • None

Job Details

Job Location
Mumbai India
Company Industry
Sales Outsourcing
Company Type
Employer (Private Sector)
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified
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