Summary
About the Role
Major accountabilities:
Data Strategy and Governance: To develop and implement a comprehensive enterprise data strategy and guide the business data strategy. This involves establishing long term roadmaps, policies, procedures, and standards for data management, ensuring data quality, privacy, and security, and aligning data initiatives with business objectives.
Ensure trust, transparency, and traceability of the data: Work with businesses in implementing data quality initiatives to ensure trusted data driving decisions, drive data architecture practices such as cataloguing, glossary, lineage to ensure traceability and transparency of data. Responsible for adoption and implementation of good data practices in the areas of data governance, quality, master data management (incl. reference), data architecture across all types of data in the enterprise through effective controls and governance. Partners with businesses, Enterprise Data Owners (EDOs), IT teams and strategic partners to transform the vision, build and implement a roadmap for enterprise data management for long term success.
Drives alignment with the senior leadership across the enterprise to ensure the right sponsorship for the roadmaps. Partners with other senior peers and customers within the business to guide the EDOs’ objectives, ensure sponsorship, funding and results towards the strategic objectives of businesses and EDM.
Drives executive data governance and cross domain data governance committees and ensures that across various levels of organization are a connected set of decision bodies and ensures decision flow is clear and collectively exhaustive. Customer Engagement and Collaboration: Acts as liaison between different business units, IT departments, and executive leadership. Collaborates with key customers to understand their data needs, prioritize initiatives, and ensure alignment with organizational goals. Foster multi-functional collaboration and communication and facilitate the integration of data-driven insights into various business processes and decision-making frameworks.
Responsible for ensuring transparency of progress of data management across the enterprise towards improved data maturity and quality, business value through data, interoperability and traceability across the enterprise. Regulatory Compliance and Risk Management: Critical role in ensuring compliance with relevant laws and regulations across the globe. Establish data governance frameworks, implement controls for data protection, and monitor data usage to mitigate risks associated with data breaches, cyber threats, and regulatory non-compliance.
Innovation and Digital Transformation: Drive innovation by harnessing the power of data and new technologies (such as AI, machine learning, GenAI, etc.). Spearhead transformation initiatives that leverage data analytics to create new business models, enhance products or services, and improve customer engagement by staying abreast of industry trends and technological advancements, help organizations stay competitive in the digital age. Data-driven Decision Making: Promote a data-driven culture within the organization by democratizing data access and promoting data literacy among employees, empower teams to make informed decisions based on data insights.
Revenue Generation and Cost Optimization: Leverage data assets to identify market trends, customer preferences, and operational inefficiencies, enabling the organization to optimize processes, develop new products or services, and target customers more effectively. Responsible for ensuring technology strategy is aligned with EDM and drives the EDM agenda for the organization; ensure readiness of data processes to adhere to the evolving data architecture. Drives the next generation capabilities in data management including unstructured data management, enabling data strategy for AI including Gen AI.
Builds the inventory of data assets along with the EDOs, drives prioritization of critical data to drive adoption of data management practices and ensures it is ‘fit for consumption’ for the enterprise. Drive EDM as a program to ensure meeting the goals and objectives of EDM as well as drive organisational change and literacy as required in the organization.
Minimum Requirements
Overall experience of 20+ years. 15+ years of relevant experience in Data Strategy, with at least 5 years in Pharma/Healthcare
Experience with implementing data governance models and processes in a large, highly complex business environment for at least 5 years
In-depth experience of data/information management practices, systems and processes including information lifecycle management, data modelling, master data management, meta-data management
Experience with large-scale data or program management and oversight. Ability to build positive relationships across a broad network of customers to embed the strategy and adoption of enterprise data governance and lifecycle management processes
Strong business process acumen with in-depth understanding of the impact and dependencies on data
Experience with defining and implementing data lifecycle management processes in a highly regulated industry
Workflow capability that operationalises the data supply chain and data usage across the data ecosystem and the manner in which users/applications interact with system. Experience with industry-leading data governance and data management tools like Collibra, Informatica, EBX etc.
Cross-industry experience highly preferred. 4+ years of international experience working with Global teams
Why consider Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here:
https://www.novartis.com/about/strategy/people-and-culture
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
