Senior Manager – Python & Data Science
About Cognizant Corporate
Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth.
At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose – always guided by our core values. Join us in shaping future of business.
About the Role
As a Tech Lead Architect – Python & Data Science, you will lead high-impact, data-driven initiatives by guiding teams in the design, development, and implementation of advanced analytics and software solutions. You will be responsible for technical leadership across projects, ensuring architectural excellence, coding best practices, and continuous innovation.
In this role, you will mentor Python developers and data scientists, collaborate closely with business and technology stakeholders, and translate complex requirements into scalable technical solutions. You will have the autonomy to shape architecture decisions, drive engineering standards, and influence the future direction of data science solutions within the organization.
In This Role, You Will
- Lead and mentor a team of Python developers and data scientists, providing technical guidance and direction
- Foster a collaborative, innovative, and high-performing team environment
- Own and oversee solution architecture and technical design for data-driven projects
- Manage project timelines, deliverables, and technical stakeholder communications
- Design and develop scalable, performant software solutions using Python
- Lead the implementation of data science models and machine learning algorithms to solve complex business problems
- Ensure high code quality through reviews, best practices, and engineering standards
- Collaborate with cross-functional teams to deliver high-quality and integrated solutions
- Translate business requirements into robust, scalable technical designs
- Coordinate with other technical leads to ensure consistency, reuse, and integration across platforms
- Stay current with emerging trends in Python, data science, and AI, and apply innovations where relevant
- Optimize performance, scalability, and reliability of data-driven applications
- Promote a culture of ownership, continuous improvement, and technical excellence
What You Must Have to Be Considered
- 12+ years of hands-on experience in application design, development, and engineering
- Strong proficiency in Python programming and data science libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch
- Deep understanding of machine learning algorithms and statistical analysis techniques
- Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly
- Strong expertise in SQL and NoSQL database technologies
- Experience working with big data technologies such as Hadoop, Spark, and Kafka
- Hands-on experience with data preprocessing, feature engineering, and data wrangling
- Proficiency in setting up and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or Azure DevOps
- Experience with containerization and orchestration technologies including Docker and Kubernetes
- Strong knowledge of cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure
- Excellent analytical and problem-solving skills with the ability to resolve complex technical issues
- Proven ability to design innovative solutions for large-scale and complex problems
• A strong sense of ownership, desire to create meaningful outcomes, and passion for work that serves a greater good for customers, communities, or global challenges.
• The embodiment of Cognizant’s Values of: Work as One, Dare to Innovate, Raise the Bar, Do The right Thing, & Own It
These Will Help You Succeed
- Industry experience in a similar technical leadership or architect role
- Strong experience collaborating directly with business stakeholders and senior leaders
- Exposure to large-scale distributed systems and enterprise data platforms
- Ability to drive technical strategy and roadmap discussions
- Relevant certifications in Data Science, Artificial Intelligence, or Machine Learning
Education & Certifications
- MSc, MTech, or BTech in Computer Science, Artificial Intelligence, Data Science, or a related field
- Relevant certifications in Data Science, AI, or Machine Learning
Work Model – Hybrid
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days per week in a Cognizant office in Bangalore.
Regardless of your working arrangement, we are committed to supporting a healthy work-life balance through our comprehensive wellbeing programs.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you meet only the minimum requirements listed. Think about your transferable experience and unique skills that can bring new perspectives and value to this role.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准确。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
