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.