SVP, Enterprise Data Strategy – Governance

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $265k - $375k / year

⏰ Full Time

🔴 Lead

🎲 Risk

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Mariner

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💸 Finance

🤝 B2B

💰 $75M Debt financing on 2022-02

Finance • B2B

Mariner is a national wealth management firm that provides comprehensive financial planning and investment management services to individuals, families, advisors, and businesses. The firm offers integrated solutions including wealth planning, tax planning and preparation, estate and trust services, insurance solutions, retirement plan services, institutional cash management, and valuation and advisory services. Mariner supports advisors with in-house teams and serves a range of client segments—executives, professional athletes, medical and dental professionals, and business owners—focusing on fiduciary advice and collaborative, sophisticated wealth strategies.

📋 Description

• 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.

🏖️ Benefits

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