Technical Data Steward Serve as the technical data steward responsible for ensuring Employee Enablement Systems data is implemented, governed, and maintained in alignment with business intent and technical standards. • Act as Technical SME for Data Domains o Serve as the subject matter expert for source systems and data domains, understanding application and system impacts of data decisions o Evaluate and communicate downstream system dependencies, constraints, and impacts • Bridge Business and Technology o Partner closely with Business Data Stewards and Data Owners to translate business data requirements into compliant technical implementations o Ensure alignment between business intent and technical execution • Support Data Governance & Compliance o Implement and enforce Data Governance policies, standards, and architectural principles across systems o Ensure governed data is implemented, maintained, and controlled in alignment with enterprise standards o Support audits, regulatory reviews, and remediation activities • Drive Data Quality & Defect Resolution o Identify root causes of data quality issues across systems and integrations o Partner on defect resolution and provide technical evidence for closure o Contribute to data quality metrics and reporting • Manage Critical Data Elements (CDEs) o Map critical data elements across source and downstream systems o Ensure correct implementation of CDE attributes and support periodic reviews • Maintain Metadata, Lineage & Data Catalog o Ensure accuracy of technical metadata and end-to-end data lineage o Support remediation of gaps identified through governance reviews or audits o Enforce data classification, privacy, and security requirements • Ensure Information Protection and Risk Management o Partner with security and privacy teams to enforce data protection standards o Identify and escalate risks related to inappropriate or unintended data usage Minimum Qualifications: • At least 5 years of experience in similar domain • Strong understanding of data governance frameworks, policies, and lifecycle management • Experience working with enterprise applications, databases, and system integrations • Hands-on experience with data quality monitori ng, defect triage, and root cause analysis • Knowledge of metadata management, data lineage, and data catalog concepts • Familiarity with data privacy, security, and classification policies • Proven ability to translate business requirements into system-level data implementations • Strong collaboration skills across business, engineering, and governance teams • Strong SQL skills, including query optimization, performance tuning, and report development. Preferred Qualifications • Experience supporting audit, regulatory, or compliance-driven data initiatives • Exposure to Critical Data Elements (CDE) governance frameworks • Experience contributing to data quality metrics, dashboards, and governance reporting • Familiarity with enterprise data governance platforms and tooling ecosystems • Prior experience participating in data governance councils or working groups • Experience within financial services or other regulated industries Advance Technical Experience (Preferred): • Experience working with data warehousing and lake house architecture • Familiarity with cloud platforms (Azure, AWS, GCP) and associated data services • Experience with data cataloging, lineage automation, or metadata ingestion frameworks • Knowledge of data observability tools and monitoring frameworks • Exposure to data masking, tokenization, and sensitive data protection solutions • Understanding of DevOps/DataOps practices and CI/CD pipelines for data systems Other Preferred Attributes: • Analytical mindset: Strong ability to diagnose system and data quality issues across complex environments • Detail-oriented: High focus on metadata accuracy, lineage integrity, and governance compliance • Cross-functional influencer: Able to work across engineering, product, risk, and business teams • Risk-aware: Proactively identifies compliance gaps and escalates appropriately • Structured communicator: Effectively explains technical concepts to non-technical stakeholders • Ownership-driven: Demonstrates accountability for stewardship of enterprise data assets • Process-focused: Brings discipline to governance workflows, defect resolution, and continuous improvement Salary Range- $90,000-$100,000 a year #LI-SP3 #LI-VX1