BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and/or administration. Known as the "bank of banks" - 97% of the world's top banks work with us as we lead and serve our customers into the new era of digital. With over 238 years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn. Today, we're approximately 50,000 employees across 35 countries with a culture that empowers you to grow, take risks, experiment and be yourself. This is what#LifeAtBNYMellonis all about. We're seeking a future team member for the role ofSenior Associate to join ourFinancial Planning and Analysis team. This role is located inChennai/Pune - HYBRIDIn this role, you'll make an impact in the following ways: Finance Chief Data Office (FCDO) is setting and executing the data strategies across finance. The Data Architecture group of the FCDO team is establishing data architecture across all areas of finance, working with the operational systems, data consumers, enterprise architects, data strategy and Digital groups to roll out the data model and hydrate the data model for all consumers, including accounting, regulatory and financial reporting, CFO teams and corporate treasury. We aim to provide transparency of our data asset and actively manage the asset to contribute to the fulfilment of regulatory requirements and provide operational efficiency. The Data Architect function plays a critical role in the transformation of the organization by connecting data, technology, processes and controls.Data Architect sets the architectural direction, gathering and analyzing business requirements, developing the appropriate data model, and provide guidance and support on data strategy. This position will play a key role in the finance digital transformation initiative. To be successful in this role, we're seeking the following: Data Architect is expected to work with all data consumed by finance and support the organization to streamline and simplify the data pipeline, curate the data model and the data in finance:Work as an SME in the team to drive the teams goals and objectives.Eight to ten years of total work experience preferred. Work closely with enterprise architects, controllers, regulatory reporting, corporate treasury, technology partners, data stewards, data strategy, and data operations to curate the finance data architecture. Profile and Analyze source system data to determine data relationships, design constructs, consistency and quality. SME knowledge of internal and external reporting (ALM/LCR/NSF), especially around data consumption requirementsClearly define data requirements in the business context. This includes data sourcing requirements and data quality business rules.Construct workflow charts and diagrams; studying system capabilities; writing business requirements.Define project requirements by identifying project milestones, phases and elements (collaborate with PMO)Solid functional and business knowledge on Corporate Finance, Regulatory Reporting and Corporate Treasury business process and data modelPerform root cause analysis for data gaps and issues, research and determine scope and complexity of issues and identify the steps for remediation.Understand and communicate the financial and operational impact of any changes.Coordinate remediation with relevant teams (source systems, technology, business, finance, etc.)Assist in defining data modeling standards, and foundational best practices.Define and build the Finance Data Model for all products and services across all lines of business Curate a single, agreed set of business terms used across Finance.Curate a single, agreed set of definitions for the business terms used across Finance.Curate a single, agreed set of harmonized values for the business terms used across Finance.Technical Skills with Python, Power BI, Alteryx, Hadoop, SQL would be preferred Develop the operating model for maintaining the Finance Data Model. Automate repeatable process for maintaining the Finance Data model Maintain the inventory of all data consumed by finance Document Finance Data Lake (FDL) 's use cases, requirements, and enhancement requests, including non-functional needs for an operating model, e.g. the need for a service, not just a toolDocument the scope (source systems/ data classes) that must be onboarded to the data lineage for the FDLConsult, facilitate understanding and translate data requirements into logical, physical and semantic layer models across the analytical data environmentEnsure data structures are designed for flexibility to support future business needsEnsure that data designs follow architectural best practices and appropriate business rulesBe an advocate for best practices while balancing business value and reasonable practicalityProvide quality assurance (QA) test cases for use by the Data Lineage team to independently conduct quality control testing for the onboardingsPerform user acceptance testing (UAT) for the onboardings, provide feedback, and re-test until user acceptance is completedMaintain Issue Inventory, deliverable/reporting inventory, data transformation inventory, and other identified data assets.Enable and guide analytics user community in the understanding, location and selection of appropriate data sources to achieve key business goalsAnalyze and evaluate data definition and modeling environment providing key recommendations for improvement. Identify data gaps and process improvement opportunities, and provide recommendations for improvements incorporating best practicesFacilitate understanding of high-quality data management discipline throughout the corporationAdvocate and drive adoption of "best practices" to ensure standardization of business architecture outputs across FinanceCreate informative, actionable and repeatable reporting that highlights relevant business trends and opportunities for improvementIdentify areas of business process improvement and make recommendations for long-term solutionsBachelor's degree or the equivalent combination of education and experience is required. Experience as an Architect is required.Experience with data domains like deposits, loans, trade finance, securities, derivatives, securities financing, etc. is strongly preferred.Experience with finance data set and process: balance sheet, income statements, consolidations, profitability, liquidity analytics and reporting, interest rate risk management, asset-liability management, regulatory reporting, is strongly preferred. Knowledge of the structuring of data environments and applications that use big data processes is a preferred. Degree in math, engineering, statistics, computational finance or economics preferred. Work toward or completion of MBA, CFA, or CPA/CA , FRM preferred. Some experience with Business Intelligence data management and visualization applications specific to Hadoop big data and the ability to use SQL/Hive and other computer languages used in big data for analysis and structuring is preferred.At BNY Mellon, our inclusive culture speaks for itself. Here's a few of our awards: Fortune World's Most Admired Companies & Top 20 for Diversity and Inclusion Bloomberg's Gender Equality Index (GEI)Human Rights Campaign Foundation, 100% score Corporate Equality IndexBest Places to Work for Disability Inclusion, Disability: IN – 100% score 100 Best Workplaces for Innovators, Fast CompanyCDP's Climate Change 'A List'BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.
