Job Description

Manager/ Sr. Manager Data Science/ AI
Bengaluru, India
Position Summary:
We are seeking a visionary and hands-on Senior Manager of Data Science & AI to lead our team in building next-generation intelligent solutions. In this role, you will not only guide the technical direction of our AI initiatives but also mentor a high-performing team of data scientists and machine learning engineers. You will bridge the gap between complex algorithms and business value, ensuring our AI strategy aligns directly with our company's growth goals.
Key Responsibilities:

• Lead, hire, and develop a cross-functional team of Data Scientists, ML Engineers, and AI Engineers.
• Foster a culture of experimentation, rigorous scientific method, and continuous learning.
• Mentor Data scientists, ML/AI Engineers, perform code reviews, design sessions, and career development planning for direct reports.
• Define the roadmap for AI/ML projects, prioritizing initiatives that drive the highest ROI and customer impact.
• Translate ambiguous business problems into concrete analytical solutions and technical specifications.
• Drive product mindset, culture by efficient ways of working, oversee the end-to-end lifecycle of ML modelsfrom data exploration and prototyping to deployment.
• Drive best practices in MLOps, ensuring reproducible pipelines, automated testing, and scalable model serving.
• Stay ahead of the curve on emerging trends (e.g., Generative AI, LLMs, Computer Vision) and evaluate their applicability to our product suite.
• Collaborate with broader Global Technology functions outside of Digital & Innovation, Business stakeholders and partnering together to deliver high-quality Digital solutions, at scale.
• Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.
• Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.
• Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

Standard Job Requirements:

• Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development.
• Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc.
• Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark, Snowflake, Databricks).
• Strong understanding of both supervised and unsupervised learning models and techniques.
• Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs.
• Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value.
• Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment.

Educational Requirements:

• Bachelor's degree in data science, Machine Learning, Computer Science, Statistics, or a related field. Masters degree or Ph.D. is a plus.
• 8+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes.
• At least 3+ years of experience in people, product & technology management

Skills Required