Director, Data Science & AI - R01549677

Primary Skills

• Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Specialization

• Data Science Foundation: Director, Data Science & AI

Job requirements

• We are seeking an experienced AI Delivery Lead to drive the end-to-end execution of AI and machine learning projects. This role involves leading AI initiatives, managing cross-functional teams across Data, AI & Engineering, ensuring timely delivery, and aligning AI solutions with business objectives while maintaining a strong focus on governance, scalability, and ROI. The AI Delivery Lead will work closely with internal and external stakeholders to ensure the delivery of projects are smooth. ________________________________________ Key Responsibilities: • Oversee the end-to-end lifecycle of AI solutions, from ideation to production deployment. • Partner with Brillio markets, clients, internal data, AI and engineering teams to deliver high-quality deliverables. • Ensure timely and efficient AI model deployment with scalable architectures and best practices. • Manage risks, dependencies, and stakeholder expectations. • Drive adoption of Agile and MLOps methodologies for AI development and operations. • Oversee AI infrastructure design and cost governance across cloud platforms (AWS, GCP, Azure, Databricks, Snowflake). • Ensure scalability, performance, and reliability of AI-driven services. • Implement CI/CD pipelines for AI models to automate deployments and updates. • Lead, mentor, and upskill AI teams to build cutting-edge solutions. • Communicate AI project value and outcomes to client executive leadership and key stakeholders. ________________________________________ Required Skills & Experience: • 12+ years of experience in AI/ML delivery, with at least 3+ years in a leadership role. • Strong expertise in AI/ML model development, deployment, and monitoring. • Hands-on experience with MLOps, AI governance, and cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI). • Proficiency in Python, TensorFlow, PyTorch, MLflow, Kubernetes is a plus. • Experience in managing AI projects using Agile, DevOps, and CI/CD best practices. • Excellent leadership, stakeholder management, and communication skills.