Director, Data Science & AI

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 include overseeing the end-to-end lifecycle of AI solutions, partnering with markets and clients to deliver high-quality deliverables, ensuring timely AI model deployment, managing risks, driving Agile and MLOps methodologies, overseeing AI infrastructure design and cost governance, ensuring scalability and reliability, implementing CI/CD pipelines for AI models, leading and mentoring AI teams, and communicating AI project value to leadership.

Must Have

• 12+ years of experience in AI/ML delivery
• 3+ years in a leadership role
• Expertise in AI/ML model development and deployment
• Hands-on experience with MLOps and AI governance
• Proficiency in cloud AI services (AWS, Azure, GCP)
• Experience managing AI projects using Agile/DevOps/CI/CD
• Excellent leadership, stakeholder management, and communication skills

Good to Have

• Proficiency in Python, TensorFlow, PyTorch, MLflow, Kubernetes

• 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

• Data Science Foundation: Director, Data Science & AI

• 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.