Data Quality Manager

Job Description

Summary - -Explore, develop, implement and evaluate Digital innovation solutions that address customer needs. Co-create with key stakeholders to build partnerships and collaborations -Leads the delivery of multiple projects across a variety of creative and marketing channels, including print and digital media. Develop and coordinate project plans across the design, development and production stages of a project to support the successful delivery within set KPIs. -Works in collaboration with brand teams, technical teams and all functions to maximize value. -Provides consultancy, advice and assistance on strategy for commercialization of products, and influence marketing/Marketing Sales Operation team on decision making on Sales Force resource allocation in most optimal ways, through delivery of proven analytics based projects. -Provide analytics support to Novartis internal customers About the Role Position Title : Data Quality Manager Location - Hyd |India| #LI Hybrid About the role The role is responsible for defining, maintaining and disseminating data quality metrics and KPIs for commercial data & analytics landscape and Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Support business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business-related tasks / activities, building process documentation and knowledge repositories to be an integral part of a comprehensive design team responsible for designing promotional marketing materials. Your responsibility includes but not limited to: Ensuring the implementation of data quality processes: defining critical data, controls, quality targets, alert thresholds and escalation procedures Overseeing the management procedures for errors and remediation: impact on use, root-cause analysis of data defects, definition of remediation plans with the business areas Designing and deploying dashboards to monitor data quality metrics and oversees achievement of defined targets On the change management side, the incumbent must develop alignment activities to quickly convince all stakeholders on the need for standard metric definitions Partners with data quality leads within data domain to drive the adoption of data quality management capabilities and services Analyzing and assessing quality of data within a system / use-case by profiling its characteristics, identifying inconsistencies and potential issues, with an aim to improve overall data quality and reliability Engagement with cross country stakeholders / Product owners to understand their Data Quality strategy and suggest enhancements wherever needed. Working experience on data profiling tools like Ataccama, IDQ to generate reports and insights. Developing and applying data quality metrics to measure overall data health. Proficiency in SQL and ETL tools like Alteryx, Dataiku, etc. Collaborating with data owners to implement data cleansing processes to correct identified data quality issues, including data standardization and normalization. Good understanding on end-to-end data management practices and usage of data governance principles Knowledge of data warehousing solutions (e.g. Snowflake). Experience of working with large codebase / repos using Git / Bitbucket and Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work in a matrix environment Desirable: Masters/ PhD in Computer Sciences / IT or other quantitative sciences Hands on to pharmaceutical/Health care industry domain experience and data standards are must |PMO, DQM|. Good to know-how of commercial data landscape will be preferred. 6+ years experience in a Global company as a data steward, engineer or modeler, with a strong focus on data management and data strategy Experience in deploying data quality management capabilities and services in a highly matrixed, global organization Strong problem-solving skills and attention to detail.Excellent communication, presentation and collaboration skills with senior stakeholders