Data Manager
Cognizant
Job Overview
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Job Description
About Cognizant DATA & AI
Cognizant DATA & AI is actively seeking an experienced and strategic Data Manager. In this pivotal role, you will be instrumental in leading our data initiatives, overseeing cloud data infrastructure, and managing critical cross-functional data projects. You will serve as the crucial link between technical execution and overarching business strategy.
The Data Manager will own the end-to-end delivery of robust data solutions, leveraging cutting-edge platforms such as Snowflake, AWS, and Azure. A strong command of Project Management methodologies will be essential to ensure projects are consistently delivered on time, within scope, and in strict alignment with business objectives.
Key Responsibilities for the Data Manager
As a Data Manager, your responsibilities will encompass:
- Data Strategy & Cloud Architecture:
- Platform Management: Oversee and optimize our enterprise data warehouse environment, specifically utilizing Snowflake/Databricks across a multi-cloud infrastructure, including AWS and Azure.
- Data Governance & Security: Establish and rigorously enforce data governance policies, quality standards, and comprehensive security protocols across all cloud platforms to ensure regulatory compliance and maintain paramount data integrity.
- Project & Team Management:
- Agile Leadership: Expertly facilitate Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to foster team alignment, maximize productivity, and ensure continuous improvement within the data team.
- Stakeholder Communication: Skillfully translate complex technical data concepts into clear, actionable business insights for non-technical stakeholders and executive leadership, ensuring everyone understands the value and progress of data initiatives.
Required Qualifications
- Experience: A minimum of 10 years of progressive experience in data management, data engineering, or a closely related technical field, with at least 2 years specifically in a leadership or dedicated project management role.
- Project Management: Demonstrable strong background in successfully managing complex technical projects, specifically employing Agile/Scrum methodologies. Familiarity and hands-on experience with leading project management tools (e.g., Jira, Asana, Monday.com) are highly valued.
- Languages: Proven proficiency in SQL is mandatory, coupled with a strong understanding of Python or other relevant scripting languages commonly utilized in modern data engineering practices.
Preferred Qualifications
- Possession of a recognized Project Management Certification (PMP, PMI-ACP, or Certified ScrumMaster).
Key skills/competency
- Data Management
- Cloud Data Infrastructure
- Snowflake
- AWS
- Azure
- Agile/Scrum
- Data Governance
- SQL
- Python
- Project Management
How to Get Hired at Cognizant
- Research Cognizant's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their global impact and client-centric approach.
- Customize your resume: Tailor your application to highlight extensive experience in data management, cloud platforms like Snowflake/AWS/Azure, and strong Agile project leadership relevant to the Data Manager role.
- Showcase project management expertise: Prepare examples demonstrating successful end-to-end data solution delivery, particularly with Agile/Scrum methodologies and tools like Jira, emphasizing business impact.
- Prepare for technical and behavioral interviews: Brush up on SQL, Python, data governance principles, and be ready to discuss leadership, stakeholder communication, and problem-solving skills in data environments.
- Network within Cognizant: Connect with current employees on LinkedIn to gain insights into team dynamics and the day-to-day responsibilities of a Data Manager, enhancing your understanding and visibility.
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