Finance Data and Analytics Lead

Role Overview: As a Finance Data and Analytics Lead in the FP&A team, you will play a crucial role in driving the data strategy and transforming financial operations using AI, advanced analytics, and dynamic scenario modelling. Your expertise in finance, data, technology, and automation will be instrumental in delivering insights and decision support across the organization. Key Responsibilities: - Develop and execute a data and analytics roadmap to enhance finance data and analytics capabilities, aligning with business priorities and finance transformation goals. - Identify, evaluate, and implement AI and automation solutions to improve analytics capabilities, forecasting, scenario analysis, and data visualization for operational decision-making. - Maximize the use of current systems such as S4 HANA, planning tools, SQL, TM1, EDP, etc., to drive efficiency, accuracy, and streamline processes. - Build frameworks and tools for rapid scenario modelling, sensitivity analysis, and real-time business insights for strategic and operational planning. - Proactively identify opportunities for process enhancement, integration of new technologies, and improvement in financial analysis and communication. - Collaborate with business units, functions, IT team, and finance stakeholders to understand needs and deliver data-driven solutions. - Evolve data standards, processes, and governance in collaboration with Hitachi Energy master data colleagues to ensure consistency, reliability, and integrity of finance data. - Drive data and analytics competencies within the finance function by coaching team members on data tools, automation approaches, and best practices in financial analytics. Qualifications Required: - Bachelor's degree in Finance, Business Analytics, Data Science, or related discipline; MBA, CFA, or advanced analytics certification preferred. - Experience in FP&A, financial data analytics, and finance transformation roles. - Strong technical expertise in financial planning tools, data visualization, data management, and modeling. - Experience with AI/ML solutions, automation tools, and integration into finance processes. - Proven track record of leading data and analytics initiatives within finance functions to deliver business impact. - Strong stakeholder management and communication skills to influence and drive change. - Ability to think strategically, challenge the status quo, and execute operationally.,