Director, Data Leader - Product & Innovation

We're seeking a future team member for the role of Director, Data Leader to join our Product & Innovation team. This role is located in New York, NY or Boston, MA.

The Role

As Platform Data Leader - you will own the Data Strategy and related business practices for a specific Line of Business or Corporate Function. You will report jointly to the LOB Product Lead and DDO. You will work with Data Domain Owners, Data Leaders, Data Stewards, Technology, Risk, and others to execute all data strategy/governance/management activities including the collection, storage, management, quality, and protection of data as the first line of defense.

You will be responsible for defining and executing on the data strategy, operating model, and overall data transformation defined for the Line of Business ("LOB") or Corporate Function ("CF"), in alignment with the corporate policies and standards set forth by BNY's Data Solutions & Services ("DSS") team.

In this role, you'll make an impact in the following ways:

Implementing advanced Data Strategy

• Define and lead a direct team of people to execute on LOB / CF data strategy, in alignment with BNY's corporate data strategy

• Drive use of data for commercial impact in the LOB / CF, including cost reduction, risk reduction, and business growth

Managing the Lifecycle of Data

• Lead team that defines and prioritizes critical data for the LOB / CF, in alignment with EDM standards

• Drive certification process for authoritative datasets ("ADS"), and ensure proper storage and documentation of certified ADS's

• Document data lineage for all LOB / CF data through its lifecycle, which includes the data's origins and where it moves over time

• Implement data controls through strong governance and MDM framework, including leading data rationalization practices

• Review metadata model annually.

Establishing a strong data governance and control framework

• Set strategy and implement the LOB / CF data operating model in alignment with central policies put forth by Enterprise Data Management team

• Execute procedures for data privacy, access, analysis, storage, management, quality, and protection

• Implement data quality framework, conduct quality reporting, and execute issue remediation plans to ensure swift resolution of data issues.Monitor Data Quality issues and ensure attention to solve the issues.

• Represent the Line of Business / Corporate Function in the appropriate data governance forums.

• Ensure LOB / CF completes the data maturity assessment in a timely manner.

Drive data projects and initiatives

• Act as executive sponsor on data projects and initiatives for the LOB / CF

• Drive data initiatives outside of the LOB / CF (e.g., enterprise-wide remediation efforts)

• Support implementation of large-scale transformation programs

• Partner with other business stakeholders to understand and meet business requirements
  

To be successful in this role, we're seeking the following:

• 12 years' experience in Data Management and Analytics preferably at a large institution with at least 10 years' experience managing a data team.

• Demonstrated knowledge of the following: data structure, information systems/tools, related software and data management, enterprise content management, and record-keeping policies and practices in a complex, organizational environment subject to regulatory oversight.

• Understanding of US/EU privacy laws, including GDPR and CCPA

• Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists; the ability to sell ideas and process internally at all levels, including the Board and investors

• Proven record of effective leadership, including the ability to balance team and individual responsibilities; building teams and consensus; getting things done through others not directly under his/her supervision; working ethically and with integrity.

• Advanced knowledge and experience with best-in-class data management tools and data strategy design

• Experience working with large, complex datasets

• Ability to convert business strategy into action-oriented objectives and measurable results