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Data Management Senior Associate (Data Owner)
senior · Data Science & Analytics
Shape the future of data management by ensuring the right data is accurate, accessible, and secure. Be at the heart of analytics and operations by defining critical data and improving how it flows across the business. Unlock your potential as you partner with technology and stakeholders to reduce data risk and improve quality. Make your mark by driving innovation and automation across the data lifecycle.
Job Summary
As a Data Owner Senior Associate within Home Lending Servicing, you ensure that data is accurate, accessible, and secure while aligning to stakeholder needs. You define and classify critical business data, oversee data created, provisioned, or consumed by applications, and support analytics, operations, and reporting. You collaborate with business and technology partners to set data strategy and roadmap, align delivery to quality and safety requirements, and mitigate risks across the data lifecycle. You leverage your expertise to publish trusted data products and improve end‑to‑end data management practices.
Job Responsibilities
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Develop and implement plans for delivering product data that supports strategic objectives, operations, analytics, and reporting.
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Identify and document critical data elements with clear definitions and metadata to improve understanding and reuse.
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Lead publishing of curated data to the data lake and drive toward scalable, governed data products.
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Execute processes to identify, monitor, and mitigate data risks across protection, retention, destruction, storage, use, and quality.
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Create operational procedures for data development and delivery that standardize quality and controls.
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Collaborate with partners to define, document, and socialize data usage, providing subject matter expertise on content and application.
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Partner with technology and business teams to investigate root causes of data issues and recommend remediation.
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Build relationships with data providers and consumers across Business, Technology, Analytics, Operations, Risk, and Control.
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Drive automation and innovation by identifying and executing opportunities to apply emerging technologies.
Required Qualifications, Capabilities, and Skills
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Six years of industry experience in a data‑related field.
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Five years of experience in technology engineering and cloud modernization for data analytics on platforms such as AWS.
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Expertise in SQL (e.g., SQL Server, Oracle) and strong understanding of database design and data manipulation.
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Subject matter expertise in business or product data and processes.
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Demonstrated ability to manage delivery timelines and keep teams on track to meet goals.
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Ability to execute through strong internal partnerships.
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Strong interpersonal and communication skills.
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Analytical thinking and problem‑solving skills with solid business acumen.
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Proficiency in Python for data management, automation, and analysis.
Preferred Qualifications, Capabilities, and Skills
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Technical knowledge of data management and governance, big data platforms, and data architecture.
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Experience with real‑time data movement in cloud environments.
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Experience with machine learning, artificial intelligence, and cloud‑native technologies.
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Familiarity with ETL processes and data warehouses.
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Experience with data visualization tools.