Financial Industry Regulatory Authority - New York, NY

posted 27 days ago

Full-time - Mid Level
New York, NY
Religious, Grantmaking, Civic, Professional, and Similar Organizations

About the position

The Lead Enterprise Data Steward of the Data Management and Governance Office 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.), and how they communicate their actions to their peer stewards and other business users/roles. The role 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 role also helps 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.

Responsibilities

  • 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 DMGO practices and policies around data cataloging, data quality, and data management.
  • Own impact analysis for existing data access and sharing controls (network access groups, group members) resulting from data sharing assumptions for enterprise-class shared data sets and engages Information and Records Managers as needed.
  • Identifies, assesses and conforms to regulatory data mandates, and resolves issues related to data retention schedules in collaboration with the Records Manager.

Requirements

  • Bachelor's degree and a minimum seven (7) years of related work experience, including familiarity with concepts related to information systems; data analysis, management, science, or architecture; or an equivalent combination of education and relevant experience.
  • Strong knowledge of regulatory data and financial intelligence provided to FINRA from member firms, such as transactional data and financial information.
  • Experience with Financial Services data including those provided by third-party vendors desired.
  • Advanced knowledge of how to create data definitions, standards, determining business data requirements.
  • Advanced knowledge of design thinking and implementing these methodologies to run effective data workshops as needed.
  • Experience with how to improve data quality and resolving data gaps and identify deficiencies.
  • Excellent communication skills with the ability to convey information to both the business and technology.
  • Highly Capable of being decisive and manage risk.
  • Strong critical thinking skills and a problem solver.
  • Excellent interpersonal skills and is motivated to build and sustain relationships.
  • Working knowledge of various data programming languages, and statistical analysis e.g., SQL, Python, etc. required.
  • Excellent interpersonal and communication skills, including presentation skills.
  • Ability to work independently on complex and prolonged projects.

Benefits

  • Comprehensive health, dental and vision insurance.
  • Basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment, short- and long-term disability, long-term care, business travel accident, disability and legal insurance.
  • 401(k) plan with company match and eligibility for participation in an additional FINRA-funded retirement contribution.
  • Tuition reimbursement.
  • Commuter benefits.
  • Adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs.
  • 15 days of paid time off, 5 personal days and 9 sick days, unless otherwise required by law.
  • Two volunteer service days (based on full-time schedule).
  • Paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave, care of a family member leave, and childbirth and parental leave.
  • Nine paid holidays.
Job Description Matching

Match and compare your resume to any job description

Start Matching
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service