Director / Associate Director, Analytics
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.
Zenon marries advanced machine learning, automation, and practical industry experience to build and activate real-world, AI-rich, working solutions. We are focused on doing and delivering: not consultants, but rather, “resultants.”
Our team includes some of the world’s most accomplished data scientists along with solutions architects, industry experts, and execution teams who know how to bring AI and machine learning into front line decision-making and ongoing operations.
We are a boutique firm focused on financial services, healthcare, and private equity. We are deeply experienced in these industries, and so we understand exactly where the new levers of analytics, data, and intelligent automation can solve their stubborn problems and capture big new opportunities.
We embrace a “workforce of the future” model—global, networked, and flexible—and are always looking for superior talent around the world.
