Presales Solution Consultant (Big Data, Analytics, AI/ML)

Roles & Responsibilities

Job Description

• Engage with clients to understand their business goals, data challenges and desired outcomes from business programs and technology solutions
• Influence customers by translating complex technical terms/processes into business value
• Lead presales activities during complete sales cycle Customer meetings, Architecture discussions, Proof of Concepts, Demos, building ROI/TCO
• Play a key role in preparing proposals and bids for SMB and Enterprise opportunities
• Create compelling customized presentations tailored to customers use case
• Continuously build solid presentation skills, content, and a deep understanding of, Data & AI technologies and how to position winning solution

Desired Competency and Experience:

presales OR engineering experience with the following solutions:

• Data Management & Integration
• Data science, custom ML/AI
• Big data, data Wearhouse, data lakes, data architecture, data analytics

General understanding of:

• APIs, Integrations, Security
• Microservices architecture, containerized infrastructure
• 4+ years of experience in a technical consulting role in Data Science/predictive modeling (Data Scientists who want to move to customer facing role are very welcomed)
• Experience in customer facing role (preferably with SMB/enterprise customers)
• Experience delivering business value to customers with Big Data, Machine learning solutions.
• Ability to develop a solid understanding of customers business needs and technical requirements to map that information to a solution that meets their needs
• Experience of selling a technical value proposition, communicating technical capabilities and complex ideas
• Experience with Pre-sales activities, RFPs, proposal preparation for international clients
• Understanding the processes of business verticals and horizontal functions (agriculture, insurance or healthcare or supply chain)
• Excellent client facing, business consulting and communication skills
• Ability to present competently and confidently to senior-level decision makers
• Ability to handle business and technical objections from customers
• Strong problem-solving capabilities with a get it done attitude, working cross-functionally and with the customer to overcome technical hurdles