Senior Manager – Data Science

Senior Manager – Data Science

Digital & Information Technologies

M3 to M5

We are seeking a highly experienced and innovative Senior Manager – Data Science to lead a cross-functional team in designing and implementing advanced AI/ML solutions across the organization. This role will focus on driving technical excellence, strategic vision, and business impact through cutting-edge data science techniques, including Generative AI, NLP, MLOps, and scalable ML platforms. The ideal candidate will combine deep technical expertise with strong leadership, project management, and cross-functional collaboration skills.

Lead the development and deployment of scalable machine learning models, including Generative AI (LLMs, RAG, Prompt Engineering) and traditional ML solutions.
Manage and mentor a team of data scientists, ML engineers, and AI researchers to deliver high-impact solutions aligned with business objectives.
Architect and oversee MLOps pipelines using tools such as Azure ML, Azure AI Foundry, Databricks, and MLflow for continuous model development and deployment.
Drive innovation in Natural Language Processing (NLP) using OpenAI models, LLama models, and transformer-based architectures.
Design and implement user-facing AI applications using Flask, Streamlit, or Django for internal and external stakeholders.
Oversee data engineering pipelines and model integration with data warehouses like Snowflake and SQL-based environments.
Collaborate with product, engineering, and business stakeholders to identify opportunities, define problem statements, and translate them into AI/ML initiatives.
Own the model lifecycle from experimentation and evaluation to deployment, monitoring, and refinement.
Stay current with the latest AI/ML research, tools, and frameworks to drive innovation and capability enhancement.

Lead the development and deployment of scalable machine learning models, including Generative AI (LLMs, RAG, Prompt Engineering) and traditional ML solutions.
Manage and mentor a team of data scientists, ML engineers, and AI researchers to deliver high-impact solutions aligned with business objectives.
Architect and oversee MLOps pipelines using tools such as Azure ML, Azure AI Foundry, Databricks, and MLflow for continuous model development and deployment.
Drive innovation in Natural Language Processing (NLP) using OpenAI models, LLama models, and transformer-based architectures.
Design and implement user-facing AI applications using Flask, Streamlit, or Django for internal and external stakeholders.
Oversee data engineering pipelines and model integration with data warehouses like Snowflake and SQL-based environments.
Collaborate with product, engineering, and business stakeholders to identify opportunities, define problem statements, and translate them into AI/ML initiatives.
Own the model lifecycle from experimentation and evaluation to deployment, monitoring, and refinement.
Stay current with the latest AI/ML research, tools, and frameworks to drive innovation and capability enhancement.

8 years of experience in data science, with at least 3 years in a managerial role.
Experience working with large-scale systems, distributed computing, and big data technologies.
Familiarity with ethical AI principles, bias detection, and responsible AI practices.
Certifications in Azure, Data Science, or MLOps are a

Programming Languages: Expert in Python; familiarity with other languages a plus.
Machine Learning: Supervised/unsupervised learning, model selection, hyperparameter tuning, model interpretability.
Natural Language Processing (NLP): Tokenization, embeddings, LLMs, sentiment analysis, text summarization, Q&A systems.
Generative AI: Experience with OpenAI, LLama, Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering.
MLOps & Platforms: Strong experience with Azure ML, Azure AI Foundry, MLflow, Databricks.
Data Engineering & Storage: SQL, Snowflake, Delta Lake, data wrangling with Pandas/PySpark.
Web Frameworks: Flask, Streamlit, Django – for deploying data science applications.
Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, Jenkins (preferred).
Cloud Platforms: Microsoft Azure; AWS or GCP experience is a plus.

Strong leadership and decision-making capabilities.
Excellent communication and stakeholder management.
Strategic thinking with attention to detail.
High adaptability and a proactive problem-solving mindset.
Passion for innovation and continuous learning.

As the world's largest manufacturer of motorcycles and scooters for the last 22 years, Hero is where you will get to work with the brightest innovators, passionate about being the best in what they do. You will become a part of India's proudest legacy, a brand that is celebrated by 110 million Indians and is now taking over the world with its manufacturing superpower. If you are someone who dreams big and goes after their dreams with absolute conviction, Hero is your place to be. At Hero, we are building a cutting-edge future of mobility, pushing frontiers of innovation and aiming for the very best. Choose to be with the best, choose to be your best.

Headquartered in New Delhi (India), Hero MotoCorp is the world's largest manufacturer of motorcycles and scooters for 22 consecutive years. We are at the forefront of developing modern, technologically superior and eco-friendly mobility solutions for its millions of customers around the world.

Hero MotoCorp has rapidly transformed into a true multinational organization with a presence in 47 countries across Asia, Africa, Latin America and the Middle East.

We have achieved the coveted milestone of 110 million cumulative production and sales since inception. Aligned with its Vision "Be the Future of Mobility", Hero MotoCorp plans to achieve its next 100 million sales by 2030.

We have a globally benchmarked manufacturing and Research & Development (R&D) ecosystem that is spread across global geographies. Its R&D facilities are located in India and Germany - the Centre of Innovation and Technology (CIT) at Jaipur, India, and the Tech Centre Germany (TCG), near Munich. Hero MotoCorp's eight 'green' manufacturing facilities are spread across India (6), Colombia (1) and Bangladesh (1).

Hero MotoCorp is the pre-eminent leader in the Indian two-wheeler market. It is the only motorcycle manufacturing company listed in Dow Jones Sustainability Index.

In 2022, Hero MotoCorp launched a separate brand for emerging mobility solutions, including Electric Vehicles (EV) - VIDA, Powered by Hero. VIDA has commenced sales of VIDA V1 – its first EV – in India and plans to launch the product in global markets.

We are one of the largest global corporate promoters of multiple sporting disciplines. Hero is globally associated with golf, football, field hockey, cricket and motorsports. Hero MotoSports Team Rally is one of India's flag-bearers in global rally racing. The iconic golfer Tiger Woods is Hero MotoCorp's Global Corporate Partner.

Read more about us.

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Recruitment assessments – We at Hero are equal opportunity employer and committed to a policy of treating all its employees and job applications equally. Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.