SVP, Enterprise Data Strategy – Governance

Role Overview

• Develop and execute Mariner's enterprise-wide data strategy using a future-back perspective aligned with the firm's long-term business and technology objectives.
• Define the enterprise data operating model, including governance, ownership, stewardship, integration, access, protection, and lifecycle management.
• Evaluate the current enterprise data landscape, identifying opportunities to improve data quality, governance, interoperability, scalability, and business value.
• Translate long-term strategy into a practical, phased roadmap with measurable milestones and business outcomes.
• Consult on the evaluation and onboarding of new platforms and vendors, establishing enterprise standards for data integration, ownership, governance, and interoperability before implementation.
• Establish enterprise standards for metadata, lineage, stewardship, classification, ownership, quality, access controls, and accountability.
• Define enterprise data domains, semantic standards, reusable data products, and common business definitions that improve consistency across the organization.
• Develop governance principles supporting both human and AI-enabled interactions with enterprise data.
• Ensure enterprise data is trusted, discoverable, auditable, and appropriately governed for operational, analytical, regulatory, and AI-enabled use cases.
• Establish measurable standards for data quality, completeness, consistency, timeliness, and fitness for purpose.
• Define enterprise standards for data integration, interoperability, orchestration, and information architecture across platforms and business functions.
• Guide buy-versus-build decisions for enterprise data platforms, governance capabilities, integration technologies, metadata management, and orchestration tools.
• Develop reference architectures that support AI readiness, operational scalability, enterprise analytics, and future-state intelligence capabilities.
• Ensure enterprise systems, workflows, and integrations support the consistent, secure, and governed movement of information across the organization.
• Define the enterprise data strategy required to support responsible AI adoption, automation, digital workers, and agentic workflows.
• Establish governance models for trusted AI-enabled data access, permissions, semantic understanding, lineage, explainability, and auditability.
• Partner with Innovation, Technology, Legal, Compliance, Information Security, and business leadership to ensure AI initiatives are built upon trusted, governed, and secure data foundations.
• Monitor emerging technologies and industry trends to ensure Mariner's enterprise data strategy remains future-ready.
• Partner closely with Legal, Compliance, Risk, Audit, and Information Security to ensure enterprise data practices meet applicable regulatory, privacy, cybersecurity, supervision, and records management requirements.
• Incorporate regulatory and governance considerations into enterprise data strategy from the outset rather than as downstream review activities.
• Establish policies governing data retention, privacy, access management, PII protection, auditability, and appropriate data usage across internal and external stakeholders.
• Build strong partnerships across Technology, Operations, Innovation, Business Intelligence, Legal, Compliance, Risk, Information Security, and business leadership.
• Recommend organizational structures, governance forums, stewardship models, operating rhythms, and decision-rights frameworks that strengthen enterprise accountability.
• Lead through influence, credibility, and collaboration in a highly matrixed environment.
• Mentor enterprise architects, technical leaders, and governance stakeholders while fostering a culture that treats data as a strategic enterprise asset.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Management, or a related discipline.
• 12+ years of progressive leadership experience in enterprise data strategy, data governance, enterprise architecture, platform strategy, or related executive technology roles.
• 5+ years leading enterprise-scale data modernization, governance, or transformation initiatives across complex organizations.
• Demonstrated success designing or maturing enterprise data governance frameworks, stewardship models, metadata strategies, lineage, access controls, and enterprise data standards.
• Experience operating within regulated industries with a strong understanding of privacy, cybersecurity, compliance, auditability, and risk management.
• Demonstrated ability to influence executive leadership and drive enterprise-wide adoption of governance standards, operating models, and organizational change.
• Strong understanding of how trusted enterprise data enables AI, analytics, automation, and intelligent workflows.

Tech Stack

• Cyber Security

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Remote work options