Job
Description
Director / Associate Director, Analytics Summary We are seeking a Director Analytics with over 12 years of extensive experience capable of steering our product portfolio to next level with groundbreaking data-driven decisions and innovations. This role involves close collaboration with business, leading a team of data scientists, analysts engineers to ensure successful deployment of AI/ML pipelines for production rollout. Key Responsibilities Strategic Leadership : Define and execute the vision for leveraging data analytics and AI/ML across the organization to drive business value. AI/ML Solutions Development : Lead the design and delivery of sophisticated AI and ML models to solve complex business challenges, enhancing operational efficiency and creating new opportunities. Pipeline Architecture : Architect, develop, and optimize end-to-end ML pipelines for scalable production rollouts, ensuring robustness, efficiency, and maintainability. Team Management : Build, mentor, and lead a high-performing team of data scientists, analysts, and engineers. Foster a culture of innovation, collaboration, and continuous improvement. Stakeholder Engagement : Work closely with business leaders to identify opportunities for impactful analytics projects. Translate complex data insights into measurable business outcomes. Data Governance and Compliance : Ensure adherence to data governance and compliance standards, including data privacy and security protocols. Innovation and Research : Stay abreast of the latest AI/ML technologies and analytics trends. Promote a culture of learning and experimentation within the team to explore new methodologies and tools. Required Qualifications Education : Master s or PhD in Computer Science, Data Science, Statistics, or a related field. Experience : At least 10+ years of experience in data science, analytics, and sound understanding of technology to design and implement end-to-end AI/ML product / solutions. Leadership : Strong leadership skills with experience managing and scaling high-performing teams to deliver complex solutions. Technical Expertise : Expert knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), libraries (e.g., Scikit-learn, NLTK, LLMs) , data modelling, and statistical analysis. Proficiency in Python, Django, FastAPI or similar framework with good experience in one or more cloud platforms (e.g., AWS, Azure, GCP). Industry Knowledge : Familiarity with the specific industry domain related to the organization s field. Communication : Outstanding communication and interpersonal skills, with the ability to articulate complex data insights to non-technical stakeholders. Preferred Skills Industry Knowledge : Familiarity with the specific industry domain related to the organization s field. Project Management : Strong project management skills, with experience in Agile methodologies. Innovative Mindset : Demonstrated ability to foster innovation and adapt to changing business and technological landscapes.
