Director, Data Product Management

BNY Mellon•New York, NY

19h•$130,000 - $270,000•Onsite

About The Position

We’re seeking a future team member for the role of Director, Data Product Management to join our Conventional Trust team to lead our Data strategy and critical data workstreams. This role is located in New York, New York. In this role, you’ll make an impact in the following ways: Owns the vision, strategy and roadmap for Corporate Trust data, ensuring the delivery of trusted, accessible and commercially relevant data to business users. Leads data product development with deep expertise in data trends, data design, and data infrastructure. Drive the definition of data domains, data models, critical data elements, and data ownership for Corporate Trust across relevant client, product, deal and system constructs. Define authoritative sources and Enterprise Masters consumption strategy to enable source-to-consumer data supply chains. Establish robust governance, stewardship and controls across the data lifecycle to improve quality, transparency and accountability and manage data risks. Enable all trusted data to be available for targeted users/consumers, and create insights across service, product, operations, risk and other personas/domains needed to run Corporate Trust. Manages and leads the data product team, and uses subject matter expertise, experience, and thought leadership to influence key stakeholders and senior leaders. Collaborates with Corporate Trust leadership and Enterprise data partners to ensure data strategy aligns with company goals, leveraging strong experience in Agile and Scrum methodologies to support iterative development and delivery. Oversees budgeting and resource allocation for data product initiatives and drives product launch and go-to-market strategy, modified as needed based on local regulations and requirements.

Requirements

Bachelor’s degree in computer science, data science, business analytics, finance, or a related discipline, or equivalent work experience, required.
10–12+ years of demonstrated ability in data product development and delivery, with a proven track record of defining winning product constructs and delivering a product roadmap.
Balances technical knowledge and business acumen, with a proven track record of launching products in partnership with engineering teams and working cross-functionally with multiple stakeholders, product development teams, and Enterprise Data capabilities.
Demonstrated high proficiency in OKR, Design Thinking, Event Storming, prototyping, iterative development, Scrum, and Agile product development, with expertise in data design and data infrastructure.

Nice To Haves

Prior experience in the financial industry, preferred.

Responsibilities

Owns the vision, strategy and roadmap for Corporate Trust data, ensuring the delivery of trusted, accessible and commercially relevant data to business users.
Leads data product development with deep expertise in data trends, data design, and data infrastructure.
Drive the definition of data domains, data models, critical data elements, and data ownership for Corporate Trust across relevant client, product, deal and system constructs.
Define authoritative sources and Enterprise Masters consumption strategy to enable source-to-consumer data supply chains.
Establish robust governance, stewardship and controls across the data lifecycle to improve quality, transparency and accountability and manage data risks.
Enable all trusted data to be available for targeted users/consumers, and create insights across service, product, operations, risk and other personas/domains needed to run Corporate Trust.
Manages and leads the data product team, and uses subject matter expertise, experience, and thought leadership to influence key stakeholders and senior leaders.
Collaborates with Corporate Trust leadership and Enterprise data partners to ensure data strategy aligns with company goals, leveraging strong experience in Agile and Scrum methodologies to support iterative development and delivery.
Oversees budgeting and resource allocation for data product initiatives and drives product launch and go-to-market strategy, modified as needed based on local regulations and requirements.