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Data Governance Manager Resume


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Resume:


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+ years in Financial Services and Technology, Data Product Management and Data Governance. Demonstrated expertise in Traditional and Alternative Wealth and Asset Management, Sustainable Finance (ESG) and AI domains. Experienced data leader, skilled in setting strategy, activating data, and implementing technology innovations to transform user experiences that fuel revenue growth. Proven skills in standing up successful data governance programs and modernizing data management through an in-depth understanding of underlying data, systems, and asset classes

Professional Experience

AI & Data Senior Manager, Financial Services, Ernst and Young LLP

 

Boston, MA

 

Oct – Present

  • Developed and implemented tailored Data and Product Strategies for Financial Services organizations, providing strategic guidance on data-driven business initiatives. Designed, tested, and enabled right-fit Data Governance structures based on assessment of organizational data yielding $M in revenue over past years. Skilled in mobilizing geographically distributed teams of - FTEs
  • Developed and executed complex projects in financial services, ranging from data strategy definition to execution of data governance programs, third party vendor implementations, and operating model re-designs, partnering with IT to help prioritize competing requests and communicate priorities and decisions back to all stakeholders through a consultative approach. A recent highlight includes architecting the product strategy for a Customer data aggregation product, leveraging Salesforce CRM for Customer data, and Collibra instead of Alation as a pivotal Data Catalog component
  • Implemented Data Domains, Taxonomy, Data classification, and Data Governance Operating Models, standing up responsibilities such as Data Stewards, Data Owners across functions with associated responsibilities, policies, and standards. Led teams to develop data glossary, data catalogue, report inventory for Financial Services datasets ranging from structured data feeds (market vendors such as Bloomberg, IVP) with high transaction volumes, to unstructured data for private credit, esoteric assets such as art, distressed and alternative assets. Performed data analysis and data profiling using complex SQL on various source systems and answered complex business questions
  • Transformed data management and governance practices for multiple financial services firms, resulting in an average increase in data accuracy from . to on the DCAM Scale, and a % improvement in operational efficiency across clients
  • Developed Data Quality Rules and implemented Quality Analysis and Monitoring to identify and resolve data issues for a large US Financial Services firm and enable compliance with FINRA and SEC rules beginning , yielding in business process improvements
  • As a Senior Product Manager/Owner, led a team composed of business managers, user researchers, engineers, designers, data scientists, and consulting professionals to develop innovative solutions for financial services clients, including a prototype ESG Reporting Engine for US and EU Climate Rules, a common data model framework for data aggregation, and a Fund Accounting Shadow NAV Product that reduced $M in NAV error fines and improved LP/GP alignment
  • Executed projects totaling ~$M in revenue, leading teams to gather requirements from business stakeholder interviews and design workshops (MS Office, Word, Excel, PowerPoint), build wireframes (Figma), prioritize backlogs (JIRA/Azure DevOps), and drove alignment on product vision, including navigating funding, and post-sales support for various products, analytical applications, and business objectives across financial services departments such as Brokerage, Private Wealth, Private Equity, and Alternatives
  • Transformed enterprise data from a cost center into competitive advantage through a data modernization program, strategically migrating enterprise data onto Snowflake Data Cloud, and implementing data models and data catalogs to populate their analytics and product management groups
  • Created a Data Governance Runbook, and trained an Asset Manager’s personnel from Compliance, Technology, Investment Management, and other impacted functions to adopt data management techniques, set up data governance councils, and operating models affecting an ~ Senior Managers
  • Designed frameworks to determine technical tradeoffs and balance short-term outcomes with long-term effects of data strategies and product decisions across different functions. Defined MVPs, rationalized & recommended data modernization sequencing, goal setting, story writing, product execution, testing, and product roll-out strategy (Agile/Scrum) for a major financial services firm serving % of the US market
  • Facilitated user acceptance testing, analyzed data for product decisions, and led the discovery and adoption of in-house and third-party solutions in complex data domains such as Investment Analytics, Risk, and Compliance at leading US-based Financial Services firms
  • Achieved CFA ESG, UN PRI and IBM Envizi Carbon Accounting Certifications and crafted business cases to influence EY executive leadership, and fund the development of ESG Arena, a sustainability data aggregation, modeling, and reporting product serving US-based wealth and asset management clients in their annual GRI, CDP, TCFD, and B-Corp Disclosure Reporting
  • Published thought leadership and documented best practices in ESG Data Management, Responsible AI, and Ethics of Generative AI. Coached and developed high-performing teams, providing clear performance expectations, and creating a culture of belonging across globally distributed teams, with recognition in EY Leadership forums through Bravo, Ovation, and Shine Awards. EY Spark Program Certified Facilitator for C-Suite interactions
  • Initiated EY Technology Consulting Partnership activities with Microsoft Azure OpenAI Services, implementing Responsible AI practices at a major Pension Fund Manager to continuously improve Model Operations/MLOps, reducing bias and hallucination of their proprietary LLM

 

AI & Data Product Manager, Financial Services, Ernst and Young LLP

Boston, MA

Jan – Sept

  • Collaborated with cross-functional teams from Finance, Operations, IT, Front, Middle, and Back-office business functions across large enterprises to identify, prioritize, and execute organizational initiatives. For example, facilitated the selection and implementation of an SEC Regulatory Reporting solution enabling automated and continuous compliance and risk management for a $B AUM Asset Manager across various reporting boundaries
  • Developed and trained senior executives on data governance policies and documentation including user-focused documentation and training for Financial Services Risk, Legal, and Compliance, focused on major US regulators such as the SEC Fund Reporting, FINRA Consolidated Audit Trail, Federal Reserve CCAR, and Data Privacy (CCPA) compliance
  • Developed proposals and business development materials on regulatory compliance, data management, and governance adoption techniques, set up data governance councils, and operating models across US Wealth and Asset Managers
  • Led assessment and strategy workshops across multiple projects; for example, managed resources to evaluate gaps in clients’ regulatory compliance strategy, engaging with complex clients to meet regulator expectations and prevent fines totaling $MM over two years
  • Implemented visualization, dashboarding, and reporting products for business functional areas, including, management, financial, compliance, operations after gathering requirements from stakeholders, synthesizing into clear, actionable user stories, prioritizing backlog based on business value and customer impact, acting as the voice of the customer so that the business is aligned on product vision and roadmap
  • Analyzed complex data spaces to implement standardization and modernization with a framework driven approach to problem solving and ability to simplify technical complexity and drive well-educated business decisions across stakeholders
  • Developed relationships with external industry forums to assess the implications of new wealth and asset management trends, rules, and regulations and advised senior management on necessary changes to be implemented in internal processes, systems, policies, and procedures

 

Research Associate I & II, Standard, and Poor’s Global Market Intelligence

                                            

Sept – July

  • Developed real-time asset pricing product; authored product roadmap and collaborated with engineering peers, working in cross-functional teams to support grooming, prioritization, and testing of product features; product generated $MM in annual revenue
  • Streamlined data workflows by collaborating with the heads of business units, saving $MM in annual contracts. Re-organized market data product portfolio after the $.B acquisition of SNL Financial; coordinated with teams in the US and India to integrate products, achieving revenue growth of % with $MM synergies
  • Managed ~ customers and analyzed past client queries to design automated SQL-based data integrity checks identifying potential problem areas, bringing in savings of $K; received ‘Individual Excellence’ award leading to a promotion to Research Associate - II

 

Education:

Master’s degree: Master of Arts in Economics, Boston University

 

Sept – Sept

Bachelor’s degree:  Bachelor of Arts (Honors) in Economics, Delhi University

 

Sept – Sept

       

 

Interests:

Adoption of Responsible AI, Watercolor Art, Yoga Teacher in Training, Diversity and Women in Tech Advocate

 

Skills:

Data Governance (Alation, Collibra Data Catalog), Cloud Modernization (Snowflake), Wealth Management, Asset Management, Data Quality Programs, Change Management, Microsoft Office (Microsoft Azure, Fabric, Excel, Power BI, Power Point, Teams, Copilot), Executive Leadership, Business Analysis and Strategy, Management Consulting