Finance Data Steward

Role: Finance Data Steward

Location: Pittsburgh, PA (Hybrid)

Duration: Long Term Contract---Only W2 Contract

Role Summary

Job Description

Finance Data Steward to join the Finance Data Governance organization. This role is responsible for the ongoing maintenance, integrity, and governance of Finance data contracts, ensuring that contract definitions, controls, and data quality remain aligned with regulatory, business, and technical requirements.

The Data Steward will serve as the single point of accountability for data contract lifecycle management post-implementation, driving structured maintenance processes, issue remediation, and governance transparency across Finance data domains.

Key Responsibilities

Data Contract Ownership & Maintenance

• Own the end-to-end lifecycle of Finance data contracts, with primary focus on post-implementation maintenance and sustainability
• Ensure data contracts (schemas, definitions, lineage, controls, and data quality rules) remain accurate, complete, and aligned with evolving requirements
• Drive continuous updates and enhancements to contract artifacts based on business, regulatory, and audit-driven changes

Maintenance Intake & Change Governance

• Govern the structured intake process for maintenance requests, including changes related to sourcing, data defects, controls, and lineage
• Review, triage, and assign maintenance requests submitted by producers, consumers, or engineering teams
• Ensure all requests are logged, tracked, and governed through a formalized process with clear accountability

Impact Assessment & Prioritization

• Perform initial impact assessments to evaluate scope, downstream impact, and risk associated with contract changes
• Prioritize work based on regulatory criticality, data quality impact, and business urgency
• Define remediation plans and coordinate execution across stakeholders

Issue Management & Execution Oversight

• Create and manage JIRA (or equivalent) tickets to track remediation and maintenance activities
• Coordinate with engineering and data services teams for implementation of contract updates
• Monitor progress and ensure timely resolution and closure of issues aligned with SLA expectations

Data Quality & Controls Alignment

• Oversee data quality (DQ) scorecards, thresholds, and issue remediation tied to data contracts
• Ensure alignment with data control frameworks (e.g., DQC, RCSA, regulatory controls)
• Validate that contract changes maintain data integrity, traceability, and compliance posture

Governance, Reporting & Audit Support

• Produce regular reporting and dashboards highlighting maintenance status, backlog, risks, and remediation progress
• Lead or contribute to monthly data contract maintenance forums, reviewing:
  • Open maintenance requests
  • JIRA status and remediation progress
  • Data quality metrics and scorecards
  • RFCs and structural updates
• Support internal and regulatory audits by ensuring complete traceability of changes and documented remediation history

Stakeholder Engagement

• Collaborate with:
  • Data Producers (source system owners)
  • Data Consumers (reporting and analytics teams)
  • Engineering and Data Services teams
  • Data Governance, Controls, and Regulatory partners
• Act as the central point of coordination and accountability for all contract-related issues and updates

Qualifications

Required

• Bachelor’s degree or equivalent combination of education and experience
• 2+ years of experience in Finance Data Governance, Data Management, or Regulatory Data domains
• Strong working knowledge of:
  • Data contract concepts / data product ownership
  • Data lineage, controls, and data quality frameworks
  • Financial regulatory reporting (e.g., FRY14, Liquidity, Stress reporting)
• Experience with issue management tools (e.g., JIRA) and structured governance processes
• Proven ability to manage cross-functional stakeholders and drive issue resolution

Preferred

• Experience in BCBS 239, SOX, or RCSA-aligned environments
• Familiarity with data platforms (e.g., Snowflake, semantic models, ADS ecosystems)
• Exposure to data mesh or domain-oriented data ownership models

Key Competencies

• Data governance and contract lifecycle management
• Change management and impact assessment
• Data quality and control frameworks
• Strong stakeholder management and communication
• Analytical thinking and structured problem-solving
• Execution focus with strong attention to detail