Sr Manager Finance Data Analytics

POSITION SUMMARY Senior Manager – Finance Data & AI Analytics Location: Cluj-Napoca, Romania Vertiv is building a Finance Data & AI Analytics capability in Cluj-Napoca, Romania. This Senior Manager will lead a team of four and own the delivery, governance, and continuous improvement of Finance BI reporting and AI/ML analytics across global and regional Finance stakeholders. The role combines team leadership , data product management , and practical AI/ML enablement to simplify reporting, eliminate manual work, and accelerate insight generation across the organisation. Key Responsibilities Leadership & Delivery Lead and develop a high-performing analytics team based in Cluj-Napoca. Manage intake, prioritisation, and delivery of BI and analytics initiatives for global Finance partners. Oversee the delivery of governed data products, ensuring accuracy, consistency, and reliability. Data, Reporting & BI Drive the development and enhancement of finance dashboards, KPIs, and standardised reporting. Ensure datasets and models adhere to enterprise governance, documentation, and certification standards. Partner with Finance stakeholders to translate business needs into scalable data solutions. Run a structured intake and prioritisation framework with clear SLAs and stakeholder communication. Standardise KPI definitions and retire conflicting or redundant reporting. Promote modern development practices, data quality, and performance optimisation. AI, ML & Advanced Analytics Champion the adoption of AI/ML use cases, including forecasting, anomaly detection, and LLM-based automation. Identify opportunities to replace manual workflows with intelligent automation. Establish foundations for model development, testing, deployment, and monitoring. Governance & Continuous Improvement Drive governance frameworks to ensure consistency, control, and scalability of analytics solutions. Continuously improve reporting, data pipelines, and analytics delivery processes. Foster a culture of innovation, accountability, and data-driven decision-making. Qualifications Minimum Bachelor’s degree in Engineering, Finance, Information Systems, Data Analytics, or a related field. 12–16 years of experience in analytics, data platforms, BI, or related fields, including leadership experience. Strong working knowledge of SQL, cloud data platforms, and BI tools. Demonstrated experience delivering analytics in a complex, multi-stakeholder environment. Proven ability to lead teams, manage priorities, and deliver decision-ready insights. Preferred Experience supporting Finance functions (FP&A, Operations Finance, Commercial Finance). Practical experience applying AI/ML/LLM techniques to business problems. Excellent communication skills with the ability to present to senior stakeholders. Travel Requirements 10–15%