Sr Mgr Data Sciences

Roles & Responsibilities :

• Develop and execute a multi-year data-science strategy and roadmap that directly supports corporate objectives, translating it into measurable quarterly OKRs for the team.
• Lead, mentor and grow a high-performing staff of data scientists and ML engineers, providing technical direction, career development, and continuous learning opportunities.
• Own the end-to-end delivery of advanced analytics and machine-learning solutions from problem framing and data acquisition through model deployment, monitoring and iterative improvement ensuring each project delivers clear business value.
• Prioritise and manage a balanced portfolio of initiatives, applying ROI, risk and resource-capacity criteria to allocate effort effectively across research, clinical, manufacturing and commercial domains.
• Provide hands-on guidance on algorithm selection and experimentation (regression, classification, clustering, time-series, deep learning, generative-AI, causal inference), ensuring methodological rigour and reproducibility.
• Establish and enforce best practices for code quality, version control, MLOps pipelines, model governance and responsible-AI safeguards (privacy, fairness, explainability).
• Partner with Data Engineering, Product, IT Security and Business stakeholders to integrate models into production systems via robust APIs, dashboards or workflow automations with well-defined SLAs.
• Manage cloud and on-prem analytics environments, optimising performance, reliability and cost; negotiate vendor contracts and influence platform roadmaps where appropriate.
• Champion a data-driven culture by communicating insights and model performance to VP / SVP-level leaders through clear storytelling, visualisations and actionable recommendations.
• Track emerging techniques, regulatory trends and tooling in AI / ML; pilot innovations that keep the organisation at the forefront of data-science practice and compliance requirements.

Must-Have Skills :

Good-to-Have Skills :

Education and Professional Certifications

OR

Soft Skills :

Skills Required

Machine Learning, Data Analysis, Statistical Modeling, Big Data Technologies, Python Programming