Senior Director Data Science - Pre Sales

Role Overview:

As the Senior Director Data Science - Pre Sales, you will be at the forefront of driving our advanced analytics and AI solutions to enterprise clients. This pivotal role involves translating complex data science capabilities into tangible business value, engaging deeply with prospective clients to understand their strategic challenges, and architecting bespoke AI/ML solutions. You will collaborate extensively with internal sales, project management, and delivery teams, acting as the critical bridge between client needs and our innovative offerings. Your impact will directly influence our revenue growth, solidify our market leadership in AI and data science, and foster long-term, high-value partnerships by ensuring our solutions deliver transformative outcomes for our customers.

Key Responsibilities:

- Lead the end-to-end technical pre-sales cycle for sophisticated data science and AI solutions, guiding clients from initial discovery through to successful contract closure, ensuring alignment with their strategic business objectives.

- Architect and design innovative data science and AI solutions tailored to specific client requirements, effectively articulating their value proposition, technical feasibility, and projected ROI to diverse stakeholders, including C-level executives.

- Drive the creation of compelling proposals, RFPs, and Statements of Work (SOWs), integrating deep technical understanding with commercial acumen to present clear, persuasive, and competitive offerings.

- Cultivate and nurture strong relationships with senior client stakeholders, serving as a trusted advisor on data strategy, AI adoption, and advanced analytics, while proactively identifying new opportunities for partnership and growth.

- Provide critical market and client feedback to product and engineering teams, influencing the strategic roadmap for future AI/Data Science products and services based on emerging client needs and competitive landscape analysis.

- Strategically position data science offerings to maximize revenue potential and profitability, contributing significantly to achieving sales targets and driving business expansion.

- Mentor and guide junior pre-sales and data science professionals, fostering a culture of technical excellence, client-centricity, and continuous learning within the team.

Required Skill set:

- Demonstrated deep expertise in Data Analytics, Machine Learning, and AI project management, with a proven track record in applying these disciplines to solve complex, real-world business problems.

- Exceptional proficiency in Pre-sales methodologies, encompassing comprehensive discovery, sophisticated solution architecture, meticulous proposal management, and impactful technical presentations for large enterprise clients.

- Proven ability in Revenue Management and a thorough understanding of commercial models pertinent to data science and AI services, with a focus on driving profitable growth.

- Strong command over RFP response strategies and the capability to craft compelling, data-driven narratives for advanced technology solutions.

- Extensive experience in AI Product Sales, adept at articulating the value and strategic impact of complex AI/ML platforms and services to diverse business audiences.

- Outstanding communication, presentation, and negotiation skills, capable of engaging effectively and building rapport with C-level executives and highly technical teams.

- Proven leadership abilities, with significant experience in building, managing, and inspiring high-performing pre-sales or solutions teams.

- Strategic thinking and superior problem-solving capabilities, with an innate ability to translate abstract business challenges into concrete, actionable data science solutions.

- A Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field from a premier institution.

- Ability to thrive in a fast-paced, dynamic environment, adept at managing multiple complex client engagements concurrently while maintaining a high standard of quality.