Associate Director - Data Science and AI

As an Associate Director in the AI Innovations Lab, your role involves designing, delivering, and scaling AI/ML solutions for clients in the financial services ecosystem. You will collaborate across teams to drive innovation, ensuring successful execution through alignment with client stakeholders and internal leadership. This role offers the opportunity to shape AI strategy for innovative players in financial services. Key Responsibilities: - Front-end with clients to translate complex business challenges into scalable AI solutions aligned with strategic goals and measurable ROI. - Manage cross-functional delivery teams to ensure execution excellence, adherence to timelines, quality standards, and client expectations. - Act as a thought leader and solution architect, identifying opportunities for innovation using emerging technologies and AI algorithms. - Take ownership of end-to-end AI program delivery, from ideation to full-scale production deployment. - Drive collaborative innovation by partnering with stakeholders to develop AI solutions tailored to financial services use cases. - Provide technical mentorship and strategic direction to a team of data science consultants and AI engineers. - Foster a culture of continuous experimentation and intellectual curiosity focused on building and scaling impactful solutions. Required Qualifications: - 7 to 12 years of experience in AI, ML, or analytics, with demonstrated impact in financial services domains. - Deep understanding of the AI project lifecycle, from problem formulation to deployment and post-production monitoring. - Hands-on expertise with cloud platforms (AWS, Azure, GCP) and programming tools like Python, Spark, and SQL. - Strong track record of leading technical teams and interfacing with senior client stakeholders. - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or equivalent from a Tier 1 academic institution. Preferred (Good to Have): - Exposure to Generative AI, LLMs, or agent-based AI frameworks. - Experience in setting up or contributing to AI-based innovations or Centers of Excellence (CoE).,