Group Leader - Data as a Service

Job Description

20+ brands catering to 50+ disease areas! The team of Novartis specialists within Insights & Analytics are on a data and digital transformation journey, leveraging analytics to generate actionable insights for Novartis medicines impacting more than 500 million patients worldwide. The team is poised to enable easier, faster and reliable decisions for Novartis divisions across the globe. Leads PLS Data as a Service delivery teams in shaping and deploying enterprise wide data strategy to enable clean and linked data across the Pharma value chain (including Research, Development, Manufacturing, Procurement & Supply Chain, Commercial and Medical Affairs). Act as a PLS SPoC as part of global 4 in a BOX, 2- PIZZA AGILE teams in the execution of specific business use cases Helps define and shape specific data/ analytics use cases by working closely with stakeholders in business units, Data Strategy and NBS IT. Build trusted partnership with the stakeholders and champions the value of clean and linked data. Be responsible for successful deployment of defined use cases across digital lighthouses leveraging enterprise wide data horizontal DLC products and assets. Provides technical leadership in data management to the PLS Data as a Service delivery teams and is also able to roll up sleeves to perform hands on work as needed. Facilitates, moderates meetings with stakeholders and cross functional team. Ensure service quality, mediating through conflicts and helping team make decisions Build familiarity and alignment to the Data Strategy vision, with clear understanding and ease with product backlogs and AGILE working ways. Promotes collaborative cultural within the PLS teams, champions change management to build a more data-centric mindset and an inspired, empowered and collaborative organization. Drive engagement/collaboration in a matrix organization, fostering strong partnerships internal and external, and helping build diverse teams.Minimum requirements 10-15 years of hands-on and consulting experience in data management and engineering in a Global data driven organization/ Domain expertise in at least one of the following areas a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred. Experience of working in global companies on large scale initiatives across the Data Life Cycle using AGILE methodology Deep expertise in Data Life Cycle Management and data wrangling including Data Ingestion, Unification, Anonymization, Search, Master & Meta Data Management and Data Governance. Experience in FAIR data principles, creating Uniform Resource Identifiers (URIs), building Ontologies and working with Semantic Web technologies (RDF, SPARQL, OWL). Experience in AGILE working as a certified Scrum Master in a global team. In-depth experience in facilitating agile ceremonies and mentoring teams/individuals on agile values, design thinking, customer value, product management, etc. Hands on experience in working with AGILE tools such as JIRA and Confluence. At least 5 years of hands on experience working on data management and analytics tools. Hand on experience in working with Python and other scripting tools is preferred. Experience in working with cloud technologies such as AWS and Microsoft Azure is preferred. Domain expertise in at least one of the following areas a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred. Advanced skills and knowledge of servant leadership, facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency Excellent written and verbal communication skills with ability to interact with senior global executives. High passion and energy and ability to navigate complex global matrixed organization to achieve the business objectives. Experience in managing mid-sized teams and people processes,

Keyskills :
customer servicemanagementslareportingcustomer relationsdata as a servicesupply chainscrum mastersemantic webdata wranglingbusiness unitscustomer valuedata managementmicrosoft azureservice quality