Data Modeler (Global Functions)
Hyderabad (Office)
Novartis
Working together, we can reimagine medicine to improve and extend people’s lives.Job Description Summary
The Data Modeler is responsible for overseeing the design, implementation, and maintenance of data models that support business processes and decision-making. This role involves leading a team of data modelers, collaborating with stakeholders, vendors, and ensuring data models are aligned with Global Functions organizational goals.
Job Description
Major accountabilities:
- Design and Development: Create and maintain conceptual, logical, and physical data models using various database technologies.
- Collaboration: Work with data architects, data engineers, business analysts, data analysts, data scientists, and business stakeholders to understand data requirements and translate them into Data Products
- Performance Optimization: Optimize Data models and Data consumption models for performance and scalability.
- Quality Assurance: Ensure data models are accurate, consistent, and meet quality standards.
- Documentation: Prepare detailed documentation of data models, including data dictionaries and metadata.
- Compliance: Ensure data models comply with internal policies and external regulations.
- Data Strategy: Develop and implement data modeling strategies that align with business objectives.
- Innovation: Stay updated with the latest data modeling tools and technologies, and implement best practices.
- Data Governance: Develops and enforces data modeling governance policies and procedures. Ensures compliance with data regulations and standards.
- Training: Conduct training sessions for team members and stakeholders on data modeling concepts and tools.
- Evaluation: Continuously evaluate and improve data modeling processes and methodologies.
- Stakeholder Engagement: Engage with stakeholders to gather feedback and ensure data models meet their needs.
- Oversight: Oversees the development and lifecycle of data products. Ensures products meet user needs and business goals
- Security: Protects data from unauthorized access and breaches. Implements security measures and monitors for threats.
Minimum Requirements:
Work Experience:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience: At least 7-10 years of experience in data modeling and allied data areas, with a minimum of 2 years in a leadership role.
Skills:
- Technical Skills: Proficiency in data modeling tools (e.g., Erwin), SQL, and big data - database management systems. Understanding of Big Data Platforms landscape. Basic Data Engineering skills is a plus.
- Analytical Skills: Strong analytical and problem-solving skills.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
- Project Management: Experience in managing data modeling projects and leading cross-functional teams.
- Attention to Detail: High level of accuracy and attention to detail in data modeling and documentation.
Languages :
- English.
Skills Desired
AWS Big Data, Big Data, Budget Management, Business Acumen, Data Modeling, Performance Management, Planning, Project Management, Risk Management, Service Delivery Management, Stakeholder Management* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: AWS Big Data Computer Science Data governance Data strategy Engineering Security SQL
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
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