Presales Manager - AI & Analytics

Role Overview: As a Manager Presales specializing in AI & Analytics, you will be responsible for leading the pre-sales initiatives within the vertical. Your expertise in AI, data analytics, and cybersecurity technologies, coupled with strong communication skills, will be essential in driving sales strategies and delivering innovative solutions to meet customer requirements for business growth. Key Responsibilities: - Develop and execute pre-sales strategies aligned with business objectives, ensuring coordination with sales teams and addressing customer needs effectively. - Lead the design and delivery of intricate AI and analytics solutions, incorporating cybersecurity features to tackle customer challenges efficiently. - Cultivate and sustain robust relationships with C-level stakeholders, IT decision-makers, and technical teams to comprehend their AI and analytics requirements and offer personalized solutions. - Stay abreast of the latest AI, analytics, and cybersecurity technologies, trends, and regulatory frameworks to position our solutions competitively in the market. - Mentor and provide guidance to a team of presales consultants to enhance their technical proficiency and sales skills. - Assist in creating top-notch proposals, quotations, and technical documentation to bolster sales endeavors. - Represent the company at industry events, conferences, and seminars to advocate for our brand and solutions effectively. Qualification Required: - Education: MBA from a reputable institution. - Experience: Minimum 6 years of experience in AI, analytics, or cybersecurity pre-sales, with a proven successful track record. - Technical Skills: Profound understanding of AI, machine learning, data analytics, and cybersecurity concepts, including threat detection, incident response, and compliance. - Communication Skills: Exceptional presentation and communication abilities, capable of explaining complex technical ideas to diverse audiences. - Certifications: Preferably possess relevant certifications such as CISSP, CISM, or CISA. - Industry Knowledge: Familiarity with cloud security, network security, AI, ML, and data analytics technologies. - Leadership Skills: Demonstrated capability to lead cross-functional teams and guide junior team members effectively.,