Technical Lead, Data Platform Infastructure

Governance Data Engineer (Data Catalog / Metadata / Controls)

Location: Boston MA (Onsite 4 days/week)

About Our Client

Our client is building foundational AI Data and Platform capabilities that enable global scale and business transformation. Their platform engineering organization evolves technology into robust reusable platform solutions that improve agility strengthen controls and deliver measurable business impact.

The Role

Our client is hiring a Governance Data Engineer (Lead level) to join their core AI/Data/Platform engineering team in Boston. This is a pivotal hands-on technical leadership role focused on building enterprise-grade data management and governance capabilitiesincluding a universal data catalog metadata management semantic definitions lineage entitlements and SOX-aligned controls.

Youll define how the organization structures documents and governs data so it is discoverable trustworthy auditable and AI-readysupporting analytics reporting and agentic AI use cases in a highly controlled environment.

Work model: Onsite in Boston 4 days per week.

What Youll Do

• Lead the design and implementation of enterprise data management capabilities with a focus on:
  • Universal data catalog
  • Metadata management
  • Standardized data definitions across platforms and domains
• Partner with business technology risk and control stakeholders to define and operationalize semantic data models that improve consistency usability and interoperability for analytics reporting and AI-enabled workflows
• Build and mature SOX-aligned data governance frameworks including data ownership lineage controls policy adherence and documentation standards to support regulatory audit and operational requirements
• Simplify and modernize data entitlement models enabling scalable policy-based access management that balances security compliance and usability across users applications and AI agents
• Establish operating models standards and governance processes that increase data discoverability trust and reuse while reducing fragmentation and manual effort
• Translate strategic data priorities into an executable roadmap influence cross-functional delivery teams and ensure implementations are scalable practical and aligned to enterprise architecture
• Improve AI-readiness of the data foundation by strengthening metadata quality access patterns semantic structure and governance controls required for trusted agentic AI adoption
• Serve as a senior contributor and thought partnershaping best practices managing stakeholder expectations and driving measurable progress against data transformation goals
• Mentor and elevate engineers across multiple teams

What Our Client Is Looking For

• Bachelors or masters degree in Computer Science Engineering or related field
• 8 years of experience in data engineering data architecture data management or related disciplines including leadership on enterprise-scale initiatives in complex highly controlled environments
• Deep expertise in:
  • Data cataloging and metadata management
  • Data lineage and governance frameworks
  • Auditability / controls / regulatory compliance-oriented implementations
• Strong stakeholder management and communication skillsable to align engineering product analytics risk/controls and business partners and drive execution across cross-functional teams

Why This Role

• High-leverage enterprise-impact work: youll define the governance foundation that enables trustworthy analytics reporting and AI adoption
• A role with real scope: catalog metadata semantic definitions entitlements SOX-aligned governance
• Visible leadership: influence multiple teams and set standards that scale across a complex organization