Senior Level Risk Data Analyst Jobs
Senior level risk data analyst jobs put experienced analysts in charge of risk modeling frameworks, data infrastructure decisions, and the cross-functional teams and projects that translate complex data into enterprise-wide strategy. Roles are concentrated in Technology & Software, Investment & Asset Management, and Banking & Financial Services, with a mix of on-site, hybrid, and remote positions available, and employers like Lyft, Mizuho, and M&T Bank hiring at this level now.
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See related jobsBuild the control environment that earns trust in enterprise data. This newly created leadership role will establish LPL’s first-line Enterprise Data Governance Risk & Controls capability, connecting governance standards to practical controls, measurable risk reduction, and clear executive visibility. You will shape the operating model, build durable partnerships across Product, Technology, Risk, Compliance, Legal, Operations, and Internal Audit, and help ensure trusted data supports client service, regulatory readiness, analytics, and responsible AI adoption.
Job Overview
The Vice President II, Enterprise Data Governance Risk & Controls is a senior leader within the Enterprise Data Governance & Responsible AI organization, reporting to the Senior Vice President, Data Governance & Responsible AI. As the first-line leader for enterprise data governance controls, this role establishes and matures the framework, control inventory, monitoring, issue-management, evidence, and reporting practices used to identify, assess, mitigate, and communicate data-related risk across the enterprise. The leader will work closely with first-, second-, and third-line partners to align data governance controls with the Enterprise Risk Management Framework, regulatory expectations, and sustainable business operations.
Responsibilities
- Establish and lead the Enterprise Data Governance Risk & Controls function, including its strategy, operating model, governance framework, accountability model, and multi-year maturity roadmap.
- Design and oversee an enterprise data governance risk and control framework spanning data quality, lineage, classification, retention, critical data, privacy, cybersecurity, AI, and third-party data risk.
- Define standards for control design, inventories, documentation, evidence, testing, monitoring, issue management, remediation, and continuous improvement.
- Partner with Product, Technology, Business, Data Governance, and Responsible AI leaders to embed effective controls throughout the data lifecycle without creating duplicative processes or testing.
- Align first-line controls with Enterprise Risk, Operational Risk, Information Security Risk, Privacy, Compliance, Legal, Model Risk Management, and other second-line requirements.
- Create enterprise metrics, key risk indicators, continuous monitoring, dashboards, and executive reporting that provide transparency into data risk posture and control effectiveness.
- Own the identification, escalation, remediation, and validated closure of data-related control gaps through established RCSA and GRC processes.
- Serve as the first-line lead for data governance audits, regulatory examinations, and risk assessments, coordinating evidence and demonstrating control design and operating effectiveness.
- Evaluate emerging regulatory, industry, and technology risks and translate them into pragmatic enhancements to the enterprise control environment.
- Build, lead, and develop a high-performing team while advising senior leaders on control maturity, risk strategy, investment priorities, and operational resilience.
What are we looking for?
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
- 10 or more years of experience in data governance, data management, data risk, controls, or a related discipline within a regulated financial services environment.
- Experience designing, implementing, or materially advancing enterprise data governance and control frameworks, operating models, and control inventories.
- Experience with data quality, lineage, classification, retention, critical data management, and controls across the data lifecycle.
- Experience establishing governance processes for control design, evidence, testing, monitoring, issue management, remediation, and risk reporting.
- Experience partnering across Product, Technology, Risk, Compliance, Legal, Operations, and Audit to deliver enterprise-scale outcomes.
Core Competencies
- Enterprise data governance, data management, and data risk leadership
- First-line risk ownership, enterprise control design, testing, and monitoring
- RCSA, GRC, issue management, audit, and regulatory examination readiness
- Executive communication, organizational influence, and cross-functional partnership
- AI governance, privacy, information protection, cybersecurity, and third-party risk integration
- Strategic planning, change leadership, talent development, and continuous improvement
Preferences
- Experience building a new team, function, or enterprise capability from the ground up.
- Experience supporting audit, regulatory examinations, or governance programs and owning remediation through validated closure.
- Knowledge of enterprise risk management, operational risk, control management, and GRC technologies.
- Experience establishing KRIs, executive dashboards, continuous controls monitoring, or risk visualization.
- Experience with responsible AI, AI governance, or controls supporting the responsible use of data and artificial intelligence.
Pay Range:
$156,354.00 - $260,590.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
Build the control environment that earns trust in enterprise data. This newly created leadership role will establish LPL’s first-line Enterprise Data Governance Risk & Controls capability, connecting governance standards to practical controls, measurable risk reduction, and clear executive visibility. You will shape the operating model, build durable partnerships across Product, Technology, Risk, Compliance, Legal, Operations, and Internal Audit, and help ensure trusted data supports client service, regulatory readiness, analytics, and responsible AI adoption.
Job Overview
The Vice President II, Enterprise Data Governance Risk & Controls is a senior leader within the Enterprise Data Governance & Responsible AI organization, reporting to the Senior Vice President, Data Governance & Responsible AI. As the first-line leader for enterprise data governance controls, this role establishes and matures the framework, control inventory, monitoring, issue-management, evidence, and reporting practices used to identify, assess, mitigate, and communicate data-related risk across the enterprise. The leader will work closely with first-, second-, and third-line partners to align data governance controls with the Enterprise Risk Management Framework, regulatory expectations, and sustainable business operations.
Responsibilities
- Establish and lead the Enterprise Data Governance Risk & Controls function, including its strategy, operating model, governance framework, accountability model, and multi-year maturity roadmap.
- Design and oversee an enterprise data governance risk and control framework spanning data quality, lineage, classification, retention, critical data, privacy, cybersecurity, AI, and third-party data risk.
- Define standards for control design, inventories, documentation, evidence, testing, monitoring, issue management, remediation, and continuous improvement.
- Partner with Product, Technology, Business, Data Governance, and Responsible AI leaders to embed effective controls throughout the data lifecycle without creating duplicative processes or testing.
- Align first-line controls with Enterprise Risk, Operational Risk, Information Security Risk, Privacy, Compliance, Legal, Model Risk Management, and other second-line requirements.
- Create enterprise metrics, key risk indicators, continuous monitoring, dashboards, and executive reporting that provide transparency into data risk posture and control effectiveness.
- Own the identification, escalation, remediation, and validated closure of data-related control gaps through established RCSA and GRC processes.
- Serve as the first-line lead for data governance audits, regulatory examinations, and risk assessments, coordinating evidence and demonstrating control design and operating effectiveness.
- Evaluate emerging regulatory, industry, and technology risks and translate them into pragmatic enhancements to the enterprise control environment.
- Build, lead, and develop a high-performing team while advising senior leaders on control maturity, risk strategy, investment priorities, and operational resilience.
What are we looking for?
We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements
- 10 or more years of experience in data governance, data management, data risk, controls, or a related discipline within a regulated financial services environment.
- Experience designing, implementing, or materially advancing enterprise data governance and control frameworks, operating models, and control inventories.
- Experience with data quality, lineage, classification, retention, critical data management, and controls across the data lifecycle.
- Experience establishing governance processes for control design, evidence, testing, monitoring, issue management, remediation, and risk reporting.
- Experience partnering across Product, Technology, Risk, Compliance, Legal, Operations, and Audit to deliver enterprise-scale outcomes.
Core Competencies
- Enterprise data governance, data management, and data risk leadership
- First-line risk ownership, enterprise control design, testing, and monitoring
- RCSA, GRC, issue management, audit, and regulatory examination readiness
- Executive communication, organizational influence, and cross-functional partnership
- AI governance, privacy, information protection, cybersecurity, and third-party risk integration
- Strategic planning, change leadership, talent development, and continuous improvement
Preferences
- Experience building a new team, function, or enterprise capability from the ground up.
- Experience supporting audit, regulatory examinations, or governance programs and owning remediation through validated closure.
- Knowledge of enterprise risk management, operational risk, control management, and GRC technologies.
- Experience establishing KRIs, executive dashboards, continuous controls monitoring, or risk visualization.
- Experience with responsible AI, AI governance, or controls supporting the responsible use of data and artificial intelligence.
Pay Range:
$156,354.00 - $260,590.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
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Find JobsSenior Level Risk Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Banking & Financial Services
Senior Level Risk Data Analyst Jobs: Frequently Asked Questions
How do I get a senior level risk data analyst job?
Employers hiring at the senior level look for candidates who have moved beyond executing analysis to designing the systems and standards others rely on. Demonstrating ownership of end-to-end risk models, experience presenting findings to executives or regulators, and a history of mentoring junior analysts gives candidates a clear edge. Technical depth in tools like Python, SQL, and machine learning frameworks, combined with domain expertise in credit, market, or operational risk, separates senior candidates from mid-level ones.
Which companies hire senior level risk data analysts?
Companies hiring senior level risk data analysts right now include Lyft, Mizuho, and M&T Bank, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in large financial institutions, insurance carriers, consulting firms, and technology companies with complex risk or compliance functions.
Are there remote senior level risk data analyst jobs?
Yes, though availability varies by employer and industry. About 80% of senior level risk data analyst openings are remote or hybrid as of November 2026, reflecting continued flexibility in data-heavy roles where outputs can be delivered independently. Regulated industries like banking and insurance sometimes require on-site presence for compliance or audit reasons, so checking each listing's location requirements directly is worth doing.
What makes a risk data analyst role senior level?
Senior level risk data analyst roles are defined by scope, ownership, and influence rather than just technical skill. At this stage, analysts are expected to architect risk models, set data quality standards, and own outcomes across entire business lines or risk categories. They lead projects independently, present recommendations to senior leadership, and mentor or manage more junior team members, making both technical depth and communication ability central to the role.
Which industries hire the most senior level risk data analysts?
Senior level risk data analyst roles concentrate in Technology & Software, Investment & Asset Management, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they carry significant regulatory obligations, large volumes of complex data, and material financial or operational risk that requires experienced analysts to model, monitor, and report on continuously.