Manager - Data Management Strategy & Product

As a Manager within Global Servicing Data Management, you will play a key role in advancing our semantic, analytical, and data management capabilities to enable trusted, scalable, and reusable data solutions across Global Servicing.

You will partner with business, analytics, technology, and enterprise data teams to strengthen semantic modeling capabilities, enable the development of curated data products, and drive consistent data management practices that support reporting, self-service analytics, and emerging AI use cases.

The role requires a combination of strong technical understanding, data management expertise, product-oriented thinking, and cross-functional execution to help modernize our data ecosystem and improve the quality, reliability, and usability of data.

• Support the evolution of Global Servicing's semantic platform capabilities, enabling scalable, consistent, and governed data consumption across business functions.
• Partner with business and analytics teams to design, develop, and enhance semantic models, including reusable metrics, dimensions, relationships, and business calculation logic.
• Establish and promote standardized semantic modeling practices, ensuring alignment with approved business definitions, underlying data products, and enterprise architecture standards.
• Enable federated semantic development through reusable modeling patterns, documentation, testing practices, and controlled publishing processes.
• Drive semantic model quality and reliability through validation of calculations, aggregation logic, joins, lineage, access controls, and performance.
• Identify opportunities to simplify analytical consumption, improve metric consistency, and enable self-service reporting and AI-driven analytics.
• Support the development and execution of the Global Servicing Data Strategy and roadmap, with a focus on scalable, reusable, and well-governed data solutions.
• Support the design, development, and enhancement of curated data assets and reusable data products, promoting common data foundations across servicing functions.
• Embed data quality, metadata, lineage, access, privacy, retention, and lifecycle requirements into data solutions in partnership with governance and technology teams.
• Drive opportunities for automation, modernization, and simplification across data onboarding, transformation, and analytical environments.
• Lead cross-functional data initiatives from requirements definition through solution design, implementation, validation, and adoption.
• Build strong partnerships with business stakeholders, analytics teams, Technology, and enterprise data management functions to align priorities and drive delivery.

• Bachelor's or Master's degree in Information Management, Computer Science, Data Analytics, Engineering, Business, or a related field.
• 5+ years of relevant experience across data management, data engineering, semantic modeling, data architecture, analytics, or related disciplines.
• Strong understanding of data warehousing, data modeling, SQL, ETL/ELT pipelines, and analytical data architectures.
• Good understanding of semantic layers, dimensional modeling, business metrics and BI or self-service analytics consumption patterns.
• Understanding of data governance principles, including data quality, metadata, lineage, ownership, access, retention, and lifecycle management.
• Demonstrated experience leading or supporting cross-functional data initiatives, managing dependencies, and delivering measurable outcomes.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Exposure to AI-ready data architectures, GenAI-enabled analytics, or modern self-service consumption capabilities.