Drives Data Quality enhancement across the organization for consistency, correctness and completeness.
Drives FAIRification (Findabale, Accessible, Interoperable and Reusable) of data across various domains.
Lead a group of data analysts to support and facilitate data enabled decision making for Novartis internal customers.
Develops robust data quality and governance mechanism to improve organization's data quality across supply chain, quality and other key functions.
Drives Data linkage Strategy using Agile tools and methodology to plan, monitor health and delivery of Data quality projects.
Drives FAIRification of data process across key domain areas.
Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements are clearly defined, communicated and well understood and considered as part of operational prioritization and planning.
Drives End to end DW solution and Data Migration architecture and implementation road map.
Defines strategy & driving Technology forward with Cloud platforms like MS Azure / AWS.
Drives solution design & architecture review for various BI / Analytics / data science solutions.
Define proactive measures to standardize, harmonize, and enhance data quality and related attributes.
Creating project estimates, resource plan, schedules, communication plans, Status reporting mechanism etc.
Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirement.
Develop an integrated data dictionary across most of the data sources and create Data Line-age diagrams across key data sources.
Create knowledge management framework & business data glossary Stays abreast of data quality products/tools and of business strategies and direction.
Develop strategy to enhance client experience across the projects.
Partners with the data stewards in continuous improvement processes affecting data quality in the context of the specific use case.
Participate in evaluating new technologies so as to ensure the advancement of technology architecture and data within organization Business Intelligence needs.
Develop performance metrics, measure KPIs and generate insights.
Prepare standard operating procedures (SOPs) and train the users.
Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes.
Comply to all Novartis operating procedures as per legal / IT / HR requirements
What you'll bring to the role:
Graduate / Masters in computer science or related field English Experience (12 - 1 years) in Data Quality, data governance, data modeling, ETL, Informatica, cloud related platforms - Strong experience in managing teams in ETL / Informatica / Cloud - Strong project management experience in BIG data projects
- - Hands on Exposure & experience in Scripting languages like SQL
- - Experience in data linking & lineage methods like FAIR
- - Strong experience in Project Delivery Methodologies : SDLC, Iterative, Agile, Scrum, Kanban - Holistic understanding and expertise in supply chain, quality, manufacturing and associated areas - Pharma industry experience will be added advantage.