We are looking for an experienced Functional Data Domain Lead – Finance & Accounting to oversee and enhance the management of financial data within our organization. In this role, you will collaborate with cross-functional teams to ensure that financial and operational data is accurate, consistent, and accessible for reporting and decision-making purposes. This position offers an opportunity to play a pivotal role in shaping the Finance and Accounting data domain. This is a long-term contract position based in New York, New York.<br><br>Responsibilities:<br>• Lead the development and governance of the Finance and Accounting data domain to ensure accuracy, consistency, and compliance with corporate and regulatory standards.<br>• Collaborate with Finance, Accounting, and Actuarial teams to identify data requirements and align solutions with strategic objectives.<br>• Work closely with IT, Data Engineering, and Architecture teams to design and implement scalable, automated data solutions that meet business needs.<br>• Oversee the integration and management of data flows between financial systems, including general ledgers, sub-ledgers, and consolidation platforms.<br>• Develop and execute a Finance data roadmap to improve analytics capabilities, automation, and integration with enterprise performance management tools.<br>• Partner with FP& A and Accounting teams to ensure alignment in financial reporting, budgeting, and forecasting processes.<br>• Stay updated on the latest advancements in financial data management, analytics, and reporting technologies.<br>• Communicate project updates, risks, and key milestones clearly to stakeholders to ensure transparency and alignment.<br>• Apply analytical skills to identify and resolve anomalies in complex financial datasets, fostering data-driven decision-making.<br>• Manage multiple priorities and deadlines effectively in a fast-paced environment.

• Minimum of 12 years of experience in Finance, Accounting, or data-related roles within the financial services or insurance industries.<br>• Strong understanding of accounting principles, including GAAP and STAT, and their application in financial reporting.<br>• Proficiency in Python, SQL, and ETL processes to support data management and transformation.<br>• Hands-on experience with cloud technologies such as AWS and Snowflake for data warehousing and analytics.<br>• Proven expertise in financial planning and analysis processes, including forecasting and variance analysis.<br>• Familiarity with business intelligence and data warehousing tools and practices to support decision-making.<br>• Demonstrated ability to manage financial data governance initiatives and ensure compliance with regulatory standards.<br>• Strong problem-solving and analytical skills, with the ability to interpret and work with complex datasets.

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