HR Data Architect & Governance Lead (Hybrid)

SMBC; New York (NY); Hybrid; USD 169,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Accommodations during candidacy

Job summary

SMBC in New York seeks an HR Data Governance and Privacy Lead on a 12-24 month project. This senior role leads HR data architecture, governance, privacy, and data quality to ensure trusted people data across enterprise systems and regulatory use cases.

You will define canonical data models, data contracts, and ownership, partnering with Risk, Compliance, and Analytics teams, while promoting data minimization and role-based access.

Qualifications

• 10+ years of experience in data architecture, data governance, or enterprise data management.
• Experience designing canonical data models and data standards for downstream consumption.
• Experience defining data contracts, lineage, quality controls, and governance processes.
• Strong understanding of HR data domains within large, complex organizations.
• Experience working with enterprise data platforms and governance tooling like Collibra.

Responsibilities

• Lead HR data architecture, governance, and data quality to support compliant, scalable downstream consumption.
• Define and maintain canonical HR data models and system-of-record designations.
• Establish data contracts for HR data outputs including structure, granularity, and refresh frequency.
• Partner with analytics, risk, and compliance teams to integrate HR data into enterprise data products.
• Ensure privacy, confidentiality, and role-based access in HR data structures.

Skills

Data architecture

Data governance

Data modeling

HR data domains

Stakeholder influencing

Data quality

Excellent communication

Education

Bachelor's degree

Advanced degree preferred

Tools

Collibra or equivalent

Job description

SMBC in New York seeks an HR Data Governance and Privacy Lead on a 12-24 month project. This senior role leads HR data architecture, governance, privacy, and data quality to ensure trusted people data across enterprise systems and regulatory use cases.

You will define canonical data models, data contracts, and ownership, partnering with Risk, Compliance, and Analytics teams, while promoting data minimization and role-based access.