Senior GRC Advisor - Data & AI Governance

Reposted 21 Days Ago
Be an Early Applicant
6 Locations
In-Office or Remote
74K-138K Annually
Senior level
Financial Services
The Role
Provide advisory, oversight, and validation of governance, risk, and control activities for enterprise Data and AI governance. Support risk assessments (PSPRA, RCRA), maintain PRC libraries, advise on KRIs, collaborate with 1LOD and 2LOD partners, and prepare governance reporting and guidance.
Summary Generated by Built In

Application Deadline:

06/25/2026

Address:

320 S Canal Street

Job Family Group:

Business Management

Role Overview

The three must haves when it comes to experience and certifications

  • Data and AI Governance experience

  • Risk management experience.

  • CDMP and/or AIGP certifications. 

This role directly reports to and supports the Associate Director of T&O Risk (1B) - Business Risk Advisory and Controls - Testing & Advisory. The candidate will provide independent advisory, oversight, and validation of governance, risk, and control activities that support Enterprise Data Governance and AI Governance. The candidate will also support Product/Service/Process Risk Assessments (PSPRA) and Regulatory Compliance Risk Assessment (RCRA), maintain Process Risk and Control (PRC) libraries and advise on Key Risk Indicators (KRIs), etc.  The role works in close collaboration with First Line of Defense (1LOD) and Regulatory Compliance and Risk related Second Line of Defense (2LOD) partners to support and strengthen governance and risk management across the enterprise.

Key Responsibilities

Governance, Risk & Compliance (Advisory)

  • Maintains a strong understanding of applicable regulatory requirements, industry standards, and internal policy frameworks; monitors changes and provides timely governance, risk, and control insights.

  • Supports PSPRA, RCRA and other risk assessment activities across Data Governance and AI‑related processes from an advisory and challenge perspective.

  • Provides governance and control advisory support to business partners, clarifying expectations and risk considerations without directing operational decision‑making.

  • Applies governance frameworks and control principles to assess alignment of business practices with enterprise standards and risk appetite.

  • Communicates governance, risk, and control considerations clearly to stakeholders, supporting informed decision‑making and consistent application of expectations.

Governance Advisory & Enablement

  • Serves as a governance advisor to business and technology stakeholders, providing guidance on risk management practices, control design considerations, and policy interpretation.

  • Supports the development, refinement, and socialization of governance standards, procedures, and guidance related to Data and AI risk management.

  • Facilitates governance forums, working sessions, and stakeholder discussions to promote shared understanding of governance expectations and emerging risks.

  • Reviews governance artifacts, assessments, and documentation prepared by others to provide advisory feedback on completeness, clarity, and alignment with governance and risk standards.

  • Identifies governance gaps, emerging risks, or areas of inconsistency and escalates observations with clear articulation of risk and impact.

  • Prepares governance summaries, advisory materials, and reporting to support leadership oversight and informed risk discussions.

Relationship Management & Collaboration

  • Builds and maintains strong working relationships with internal and external partners, particularly across first‑ and second‑line functions.

  • Acts as a trusted governance, risk, and control advisor to stakeholders, balancing effective challenge with collaboration.

  • Develops a deep understanding of end‑to‑end business processes related to data and AI model risk management and lifecycle management to provide relevant and practical guidance.

  • Partners with stakeholders to support governance alignment while respecting ownership and accountability within the first line of defense.

General Responsibilities

  • Continuously enhances knowledge and skills in Data and AI governance, compliance, and risk management.

  • Works independently, exercising sound judgment to identify, assess, and escalate governance or control concerns within defined guidelines.

  • May assume additional responsibilities aligned with governance, risk, and control advisory needs.

  • Coaches and mentors junior staff to strengthen governance understanding, consistency, and advisory effectiveness across the team.

Qualifications Required

  • Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.

  •  Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.

  • Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.

  • Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).

  • Strong analytical and critical‑thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.

  • Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first‑ and second‑line functions.

  • Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.

  • Required professional certifications:

    • CDMP - Certified Data Management Professional (by DAMA)

    • CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)

  • Preferred certifications:

    • AIGP – Artificial Intelligence Governance Professional (by IAPP)

    •  ISO/IEC 42001 – AI Lead Auditor/Implementer (by ISO)

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Skills Required

  • 5 - 7 years relevant experience in governance, risk, compliance, data governance, AI governance, risk management, or audit
  • Strong knowledge of Data and AI governance risk and regulatory requirements including data privacy, data quality, and model risk
  • Solid understanding of applicable regulations, industry standards, and control frameworks for enterprise risk management and the data/AI lifecycle
  • Experience supporting risk assessments (PSPRA, RCRA), process risk and control assessments, and advising on KRIs
  • Strong analytical and critical-thinking skills to assess governance and control alignment and articulate risk implications
  • Effective communication, collaboration, and stakeholder management skills with ability to influence across first- and second-line functions
  • Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns
  • CDMP - Certified Data Management Professional (by DAMA)
  • CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)
  • AIGP - Artificial Intelligence Governance Professional (by IAPP)
  • ISO/IEC 42001 - AI Lead Auditor/Implementer (by ISO)

BMO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.

  • Parental & Family Support Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
  • Retirement Support A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
  • Leave & Time Off Breadth Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.

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The Company
HQ: Toronto, Ontario
51,885 Employees

What We Do

At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.

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