Director, Platform DATA LEADER
Listed on 2025-12-02
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IT/Tech
Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Location: New York
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PLATFORM DATA LEADERAt BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Job DescriptionWe’re seeking a future team member for the role of Platform Data Leader to join our Data Solutions and Services ORGANIZATION team. This role is in NYC, NY.
Our TeamData Solutions and Services is focused on delivering the firm’s master data strategy, implementing enterprise data policies & governance, providing holistic access to data via our data Lake, and enabling the business to deliver advanced outcomes for ourselves and our customers using AI/ML techniques.
In the process of focusing on this agenda – we participate in the remediation of data‑centric regulation. We help our operations teams transform how we operate, while optimizing our data‑centric cost structure and reducing our operating & regulatory risk, and providing innovative, data‑centric commercial opportunities.
The RoleAs a 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 strategies/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.
Key Responsibilities- 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.
- Establish 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
- 10+ 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…
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