Full-Time

Senior Vice President – Enterprise Data Strategy & Governance

Updated on 8/1/2026

Mariner

Mariner

1,001-5,000 employees

Fiduciary wealth management and advisory services

Compensation Overview

$265k - $375k/yr

Remote in USA

Remote

Remote within the United States, with periodic on-site visits to headquarters and other offices.

Category
Data & Analytics (1)
Required Skills
ERP
CRM
Cybersecurity
Risk Management
Information Architecture
Data Governance
Databricks
Snowflake

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Requirements
  • A bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Management, or a related discipline is required.
  • At least 12 years of progressive leadership experience in enterprise data strategy, data governance, enterprise architecture, platform strategy, or related executive technology roles is required.
  • At least 5 years of experience leading enterprise-scale data modernization, governance, or transformation initiatives across complex organizations is required.
  • Demonstrated success designing or maturing enterprise data governance frameworks, stewardship models, metadata strategies, lineage, access controls, and enterprise data standards is required.
  • Experience operating within regulated industries, with a strong understanding of privacy, cybersecurity, compliance, auditability, and risk management, is required.
  • The candidate must be able to influence executive leadership and drive enterprise-wide adoption of governance standards, operating models, and organizational change.
  • The candidate must have a strong understanding of how trusted enterprise data enables artificial intelligence, analytics, automation, and intelligent workflows.
Responsibilities
  • 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 artificial-intelligence-enabled interactions with enterprise data.
  • Ensure enterprise data is trusted, discoverable, auditable, and appropriately governed for operational, analytical, regulatory, and artificial-intelligence-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 artificial intelligence 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 artificial intelligence adoption, automation, digital workers, and agentic workflows.
  • Establish governance models for trusted artificial-intelligence-enabled data access, permissions, semantic understanding, lineage, explainability, and auditability.
  • Partner with Innovation, Technology, Legal, Compliance, Information Security, and business leadership to ensure artificial intelligence 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 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, personally identifiable information protection, auditability, and appropriate data usage across internal and external stakeholders.
  • Build 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.
  • Travel periodically to Mariner headquarters, other office locations, industry conferences, and relevant external events; travel frequency may increase during initial onboarding or major transformation initiatives.
Desired Qualifications
  • Experience in wealth management, financial services, banking, asset management, insurance, FinTech, or another highly regulated industry.
  • Experience supporting artificial intelligence readiness, responsible artificial intelligence governance, intelligent automation, or enterprise artificial intelligence enablement initiatives.
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, or comparable platforms.
  • Experience designing semantic layers, enterprise metadata strategies, operational data platforms, or large-scale integration architectures.
  • Experience working across enterprise platforms including customer relationship management systems, enterprise resource planning systems, human resources systems, Portfolio Management Systems, and related data architectures.
  • Experience leading enterprise transformation within high-growth, acquisitive, or rapidly evolving organizations.
  • Experience partnering closely with Legal, Compliance, Risk, Audit, Information Security, Technology, Innovation, and senior business leaders.

Mariner Wealth Advisors provides comprehensive wealth management for individuals, families, business owners, executives, and institutions by coordinating investment management, tax and estate planning, insurance, and business services under one roof. Its advisors follow a fiduciary standard and limit client loads to focus on personalized, client-first guidance, with revenue mainly from assets under management fees and some fixed-fee or hourly planning projects. The firm grows by acquiring smaller RIAs to expand its national footprint and capabilities, resulting in a large, integrated platform with over $550 billion in assets under advisement. Mariner aims to simplify clients’ lives by delivering holistic, integrated financial strategies that address all aspects of wealth management.

Company Size

1,001-5,000

Company Stage

Debt Financing

Total Funding

$75M

Headquarters

Overland Park, Kansas

Founded

2006

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Benefits

Remote Work Options

Growth & Insights

Headcount

6 month growth

18%

1 year growth

18%

2 year growth

20%