01Responsibilities
Data Product Ownership & Strategy
Serve as the designated business owner for Product Pricing, Security Master, Product Master, Market Data, and Enterprise Reference Data domains.
Define and execute product vision, roadmap, operating model, and governance framework for assigned data products.
Establish enterprise ownership, stewardship, and accountability for critical data assets.
Define business outcomes, product KPIs, adoption of metrics, and value realization measures.
Product Pricing, Security Master & Reference Data Management
Govern security onboarding, lifecycle management, classification, pricing, and reference data processes.
Define and maintain business definitions, metadata, taxonomies, hierarchies, critical data elements, and enterprise data standards.
Ensure consistency, integrity, and fitness-for-purpose security and pricing data across platforms and downstream consumers.
Support enterprise initiatives involving new products, acquisitions, platform modernization, and regulatory change.
Data Governance, Quality & Stewardship
Define and maintain Source of Record (SOR) strategies, authoritative data source models, and stewardship processes.
Identify and manage Critical Data Elements (CDEs), data quality rules, thresholds, and monitor metrics.
Improve data quality, lineage, metadata, transparency, and business trust through sustainable governance practices.
Partner with Compliance, Risk, Legal, Information Security, and Enterprise Data Governance teams to ensure regulatory and policy adherence.
Drive remediation of systemic data quality issues and embed controls within business and technology workflows.
Data Product Lifecycle & Delivery
Own and govern the end-to-end data product lifecycle: Define Build Publish Operate Enhance.
Partner with Product Managers, Engineering, Architecture, and Delivery teams to translate business requirements into executable roadmaps and technical solutions.
Ensure governance requirements, controls, and business outcomes are incorporated into solution design and delivery.
Monitor implementation outcomes, operational performance, adoption, and business value realization.
Stakeholder & Vendor Management
Act as the primary point of accountability for assigned data domains across business and technology organizations.
Build alignment among business leaders, governance councils, delivery teams, and key stakeholders.
Establish business requirements and governance standards for external market and reference data providers.
Partner with vendor management, procurement, and technology teams to optimize data sourcing strategies and vendor performance.
AI & Automation Enablement
Leverage AI tools and platforms to identify automation opportunities across data products and operational workflows.
Design, implement, and optimize AI-enabled agents and capabilities that improve data quality, governance, stewardship, and operational efficiency.
Evaluate emerging AI use cases and integrate scalable, governed AI solutions into data product operating models.
What are we looking for
Were looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with
