Sales Origination Practitioner

About The Role

Project Role :Sales Origination Practitioner

Project Role Description :Orchestrate and lead the entire origination process for a cross-client, cross service-group deal working with the CAL, the client team and relevant subject matter experts.
Must have skills :Sales Pursuit Management

Good to have skills :Data & AI StrategyMinimum
15 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Data & AI Strategy Sales Origination, you will be responsible for solution selling to customers in the US and European markets based on credible experience you have acquired at developing and implementing Data and AI strategies for clients. Your typical day will involve identifying and owning sales opportunities, guiding solution architecture teams, and providing broad practitioner guidance to the team.
Roles & Responsibilities:- Lead sales origination for customers in the US and European markets for opportunities in the development and implementation of Data and AI strategies for clients, ensuring alignment with business goals and objectives.- Own Sales origination, including proposal development, client presentations, and guidance to solution architecture teams.- Provide technical guidance and leadership to the solution development team, to help them develop solutions using data and AI components.- Lead sales origination based on experience acquired through professional services selling in the US and European markets, design and implementation of data and AI systems, ensuring scalability, reliability, and performance.- Collaborate with cross-functional teams, including business stakeholders, data scientists, and engineers, to ensure successful project launch. Professional & Technical
Skills:

- Must To Have

Skills:

Professional Services sales, Data & AI Strategy expertise, Data & AI Solution Architecture.- Strong understanding of data and AI technologies, including machine learning, natural language processing, and data visualization.- Experience with cloud platforms, including AWS, Azure, and Google Cloud Platform.- Experience with agile methodologies and project management tools, including Jira and Confluence.- Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
Additional Information:- The candidate should have a minimum of 15 years of experience in data and AI strategy.- The ideal candidate will possess a strong educational background in computer science, data science, or a related field, along with a proven track record of delivering impactful data-driven solutions.Qualification
15 years full time education