Associate Director, Data Science + Growth
4 days ago
About the Company: Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Please come work with us to help us figure out a better tomorrow. We are a Great Place to Work-Certified™ (2022-24) and have been consistently ranked among the #x27;Best#x27; and #x27;Fastest Growing#x27; analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. India
Locations: Any
Desired Skills and Experience:
Prospect Engagement; Solution Development: Participate in early-stage conversations with critical clients, understanding their needs and contributing to solution development, ensuring alignment with client requirements. Collaborate with internal teams to design innovative solutions aligned with clients#x27; requirements, leveraging in-depth technical knowledge. Technical Strategy Development: Develop and execute the technical pre-sales strategy, aligning it with broader business objectives and contributing to revenue growth. Technical Expertise and Guidance: Act as a technical authority, providing deep insights and guidance to the team while demonstrating advanced knowledge of our solutions and industry trends. Technical Presentations and Proposal Development: Deliver compelling presentations and lead the creation of comprehensive proposals, RFP responses, and technical documentation, ensuring client alignment and adherence to industry best practices. Client Education and Competitive Analysis: Act as a trusted technical advisor to clients, educating them on the benefits of our solutions while staying informed on industry trends and competitor offerings.
Qualifications: 12+yrs of exp with a Bachelor#x27;s or Master#x27;s in Computer Science, Data Science, or a related field. Proven experience in a technical pre-sales or solutions engineering role, preferably in data science, analytics, or related domains. Strong understanding of data science concepts, machine learning, and advanced analytics. Excellent communication and presentation skills. Ability to translate technical information into business terms. Client-focused with the ability to build strong client relationships. Strategic thinking, problem-solving, and a strong team player.
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