Senior Client Solutions Partner

Role Overview: As a Senior Client Solutions Partner at Quantiphi, you will play a crucial role in driving sales of Data Science solutions to Enterprise clients. Your main responsibility will be to lead high-stakes discovery sessions with senior client stakeholders and translate their business challenges into well-defined data science problems. By presenting compelling, data-driven solution proposals, you will secure buy-in from both technical and executive audiences and quantify the business case for change. Additionally, you will mentor and lead a team of young professionals while acting as a thought leader on data strategy for customers and internal teams. Key Responsibilities: - Lead high-stakes discovery sessions with senior client stakeholders to diagnose fundamental business problems and opportunities ripe for data science - Translate ambiguous business challenges into well-defined data science problems and frame the "art of the possible" for clients - Architect and present compelling, data-driven solution proposals to secure buy-in from technical and executive audiences - Develop and quantify the business case for change, building clear ROI models and impact forecasts - Mentor and lead a team of young professionals, setting high standards for strategic thinking and analytical rigor - Act as a leading voice on data strategy, educating the market on strategic AI adoption Qualifications Required: - Profound understanding of the data science landscape (ML, stats, etc.) and its practical application - Strong business and financial acumen with the ability to build business cases, talk about TCO and ROI, and map technical solutions to P&L impact - Deep familiarity with at least one major cloud ecosystem (GCP, AWS, Azure) and the ability to architect solutions using their native data and AI services - Excellent consulting skills with the ability to bring clarity, structure, and direction to complex client challenges - Proven ability to communicate complex analytical concepts clearly and convincingly - Knowledge and willingness to learn and apply emerging trends in business research, data science, machine learning, artificial intelligence, and cloud technologies - Strong exposure to cloud technologies like GCP, AWS, Azure - Excellent communication, articulation, abstraction, analytical, and presentation skills - Executive demeanor and experience working with senior client executives - Ability to work with minimal supervision in a dynamic and time-sensitive work environment - Strong aptitude in business analysis and awareness of quantitative analysis techniques - Self-driven and passionate about developing new value-added AI-based solutions for clients across various industries (Note: Additional details about the company were not provided in the job description),