: MAX CONFIRMED
Location: ONSITE- Phoenix AZ
Duration: 6 months
Role: Technical Data Steward
Description:
"What you'll do: 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:
• Bachelor's degree in information technology, Computer Science, or a related field.
• 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 monitoring, 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"
Skills: Data Governance
Experience Required: 6-8, Project Code :
Location: ONSITE- Phoenix AZ
Duration: 6 months
Role: Technical Data Steward
Description:
"What you'll do: 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:
• Bachelor's degree in information technology, Computer Science, or a related field.
• 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 monitoring, 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"
Skills: Data Governance
Experience Required: 6-8, Project Code :