Lead Data Steward, MRTS

The Lead Data Steward, MRTS is responsible for utilizing relevant data expertise and drives coordination by establishing processes for how stewards execute their activities (the specific work steps, tools used, etc.), how they communicate their actions to their peer stewards and other business users/roles. The position works closely with key partners across the organization in advocating for and promoting education of staff on data access, literacy, stewardship and governance to senior management, technology, other data and analytics teams across FINRA. The data steward also helps the data stewards in the Data Stewardship Program to interpret policies created by the Board with the goal of establishing clarity and quality in policy enactment, and executing the strategy on leveraging data and intelligence to benefit the regulatory functions performed throughout the organization.

• Represent enterprise reference and cross-domain data and utilize subject matter expertise to serve on and facilitate discussions on several data-related working groups, committees, business cases and other projects/initiatives.
• Partner with the Enterprise Data Privacy office as needed to analyze industry data protection and privacy trends, new protection and privacy regulatory requirements and as a result, potential new stewardship activities along with collaboration to monitor and assess organizational data for value, potential risk and ethical implications of using or not using data.
• Partner with the Cyber & information Security office (CISO) to understand and influence the execution of data security frameworks as the CISO is the first line of defense for security
• Execute data protection and security policies with the data engineering teams
• Promote data awareness, drive evolution of data and creation of cross-domain and complex datasets
• Facilitate workshops as required to obtain input from multiple Information Managers, Records Managers, Business Data Stewards, and Data Experts of complex derived data sets across departments
• Document assumptions and risks, early in design cycles, for new complex derived/cross domain data sets intended to be shared as enterprise resources
• identify data quality and architectural dependencies resulting from data transformations between source data and resulting derived data sets
• Design and review requirements for complex derived/cross domain datasets based on workshops and obtain approval for execution, from the business data stewards
• Ensure metadata and data consistency, track data usage, and monitor outcomes of these activities
• Ensure ongoing accuracy and completeness of the business units’ and FINRA’s data catalog including identification of critical data sets and data attributes.
• Inventory, review, and assess, shared derived data sets and create Dashboards and metrics to measure metadata management compliance by the businesses
• Design, obtain approvals and maintain the data taxonomy and its related artifacts
• Foster a data-driven culture and decisioning process in the DMGO and across FINRA
• Convene and facilitate and influence Data Stewardship Chapters – driving the agenda and collaborating with data stewards to bring items of priority for discussion
• Communicate stewardship initiatives, approvals and updates to the data ecosystem, create and share metrics regarding the impact of the program via newsletters, marketing activities like roadshows and spotlights
• Collaborate and influence management and individual contributors across FINRA to identify and leverage new data sets and sources and develop strategies for data re-use.
• Collaborate and influence business unit data stewards on the strategy to drive optimization of data and intelligence usage and data products across the business
• Support identification and documentation of data assets.
• Influence formulating a strategic, global view of data needs, both current and future, across FINRA and help define operational, technical, stewardship and governance requirements of your data.
• Influence and help formulate and determine organizational business cases for data and support scoping and iterating of minimum viable data assessments for partnerships and contribute to the development of funding proposals for data as needed.
• Research and provide input on the selection and use of both 3rd party data, including commercially available, sets and in-house data- related objects.
• Drive requirements gathering activities and craft and obtain approvals for the business unit’s data quality dimensions and work with technology and product to get the quality rules prioritized on their roadmaps for implementation.
• Participate in and influence crafting LOB and DMGO practices and policies around data cataloging, data quality, and data management<