.Join us in solving 500+ Digital Finance challenges!As part of our highly dedicated Finance Digital Product Team, you'll play a crucial role in delivering cutting-edge IT solutions that drive innovation and performance. We're looking for a Predictive Finance -Data Manager to be the bridge between Finance and Digital business, ensuring seamless end-to-end solution delivery.In this role, you'll collaborate with Business Stakeholders and TT Business Partners to analyze demand, propose solutions, and manage project delivery. You'll be responsible for designing predictive finance data solutions that align with our architectural standards and meet quality, performance, and security requirements. Leading teams across various locations, you'll own and drive the entire product delivery process, ensuring our IT services support business goals, objectives, and compliance standards. About the Role Major accountabilities: Act as the primary connection between Finance end to end Solution delivery and the Digital business for a given capability. Analyze and refine requirements for delivering the necessary technology service to business. Solution Design of Finance system solutions in alignment with design and architectural standards, while meeting quality, performance, security and business requirements. Manage project teams in different locations. Lead and drive large-scale, multi-year product roadmaps for global finance processes, impacting Novartis' financial results. Maintain, optimize, and ensure the availability of Predictive Digital Finance Data. Support Business Analysts, Software Engineers, and Data Scientists as needed. Collaborate with the Digital Finance Data Team to provide insights and reports that improve operational efficiency and client experience. Understand and align business objectives with IT solutions, ensuring compliance with external policies and regulations. Provide IT consulting to stakeholders, driving the adoption of global solutions. Lead projects from concept to completion, ensuring minimal disruption and maximizing benefits. Key performance indicators: Conduct impact analysis of digital technologies for the business. Design system solutions that meet performance, security, and business requirements. Research and recommend new software developments. Lead the architecture and execution of data analysis, model development, and automation solutions. Develop analytics strategies, operating models, and data governance frameworks. Ensure smooth implementation of new or modified services and manage data quality. Lead cross-functional teams, provide technical guidance, and mentor new team members. Manage a team of data analysts/engineers and oversee projects across multiple locations. Engage stakeholders to identify new business opportunities and drive growth. Foster innovation and ensure exceptional service delivery. Qualifications: 5+ years experience in Data Engineering / Data Warehousing