Senior Director Data Lead, Enforcement Data & Analytics

The Senior Director Data Lead of the Enforcement Data and Analytics team is responsible for providing management and strategic thought leadership on leveraging data to benefit the analytics, regulatory services, investigative and enforcement duties of the Enforcement department. This leader is instrumental in advocating for, promoting and educating on data to senior management, technology, other Enforcement teams and across FINRA as well as external constituents. This is senior-level professional work in which incumbents are defining their assigned roles, increasing their skills, and working independently under minimal guidance.

Essential Job Functions:

• Deploy in-depth knowledge of relevant market order and transaction data to help the business with investigative analytics and supporting Enforcement technologies.
• Directs and trains staff to leverage data as a competitive and strategic asset, balancing security and privacy needs with collaborative usage of data.
• Foster a culture of data literacy and data driven decision processes.
• Work with the Vice President of Data & Analytics to develop a strategy to drive the optimization of data usage across Enforcement and FINRA.
• Work with FINRA Business and Technology to effectively manage data acquisition, data quality, and data consumption to enable Enforcement.
• Manage a data program, working with multiple Enforcement teams that promotes the seamless use of data across systems and resolves data issues.
• Formulates a strategic, global view of data needs, both current and future, for Enforcement and plays a critical role in formulating RegOps data strategy and needs.
• Provide department and organizational leadership in the selection and use of 3rd party commercial data sets, data-related tools, platforms, and technologies.
• Assess and propose data driven responses to industry trends and new regulatory requirements.
• Manage an effective and comprehensive data catalog for Enforcement data, including data from commercial data providers, and Enforcement’s systems of record for matters, operational data, etc.
• Collaborate and partner with senior level management and individual contributors in Enforcement, Technology and across FINRA to identify and leverage new data sets and sources.
• Develop processes to understand the business usage of data and draws insights on how to gain efficiencies.
• Identify and manage lifecycle of critical data sets used in critical business processes.
• Using subject matter expertise, promote the use and understanding of trading and market data across FINRA, including the development of training and self-help reference material.
• Identify and resolve questions about the best approach to data analysis to ensure consistency in matters across FINRA.
• Identify opportunities to work with staff to leverage data for more efficient results.
• Support management and others to inform on overall program vision, strategy, operations, processes, and implementation status.

Education/Experience Requirements:

• Bachelor’s degree in Information Technology or Analytics and a minimum ten (10) years of experience.  Advanced degree highly desirable.
• Minimum of five (5) years’ experience in managing people, projects, and/or programs.
• Experience with financial services and securities industry preferred.
• Strong knowledge of enterprise-wide data sources.
• Proficient in analytics of Big Data using programming languages like SQL, Python/R, Strata, Spark, Dataiku.
• Demonstrated project management, process improvement, and goal attainment skills.
• Excellent interpersonal and communication skills, including presentation skills.
• Ability to work independently on complex and prolonged projects.

Working Conditions:

• Extended hours may be required.
• Occasional travel may be required.

For work that is performed in CA, CO, HI, MN, VT, IL, Jersey City, NJ, NY, NY, MD, Washington DC, and WA the chart below outlines the proposed salary range for the corresponding location. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate’s skill set, level of experience, education, and internal peer compensation comparisons.

CA: Minimum Salary $171,900, Maximum Salary $351,200

CO/HI/MN/VT*: Minimum Salary $149,600, Maximum Salary $292,600

IL*: Minimum Salary $164,500, Maximum Salary $322,200

Jersey City, NJ/NY, NY: Minimum Salary $179,600, Maximum Salary $351,200

MD/Washington, DC: Minimum Salary $171,900, Maximum Salary $336,600

WA: Minimum Salary $149,600, Maximum Salary $336,600

*Including positions performed outside the state but reporti