Senior AI Governance Specialist

About Northern Trust

As a global leader in innovative wealth management asset servicing asset management and banking services Northern Trust (Nasdaq: NTRS) is proud to guide the worlds most successful individuals families corporations and institutions.

Since 1889 we have aligned our efforts with our three guiding Principles That Endure: Service Expertise and Integrity. Together they reflect the three cornerstones of business conduct which we strive to instill in our employees whom we call partners and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24000 partners we serve the worlds most sophisticated clients using leading technology and exceptional service.

Senior AI Governance Specialist ASSET MANAGEMENT

Northern Trust Asset Management (NTAM) is an over a trillion-dollar investment management firm entrusted by investors around the globe to help them navigate changing market environments so they can confidently realize their long-term objectives.

NTAM has embarked on an ambitious plan to modernize its Data and AI capabilities and embed a data-driven culture throughout the organization. The Data Governance Specialist will pride themselves in taking a customer first approach to truly make it easier for our internal customers to protect enhance and instill trust in our data to generate insight and deliver the best client experience.

The key focus of this role is to assist the company adopt AI quickly and safely. You will turn AI governance policy and standards into practical controls assess AI use cases and models for risk and give business teams clear guidance on what good looks like. You will work across Data Technology Risk Legal and the business reporting to the Head of Data and Analytics.

KEY DUTIES AND RESPONSIBILITIES

Support projects and establish responsible safe AI practice across NTAM. Responsibilities include:

Data management

• Check that data used in AI systems has a clear owner documented lineage quality checks and appropriate access controls.

• Explicit evaluation of data completeness suitability ownership lineage quality and governance

• Maintain the AI inventory and link each model to its source data classification and retention requirements. Extend inventory coverage beyond models and use cases to AI systems platforms agents agentic solutions digital workers and vended AI capabilities

AI model risk management

• Work closely with the Enterprise Model Risk Management teams and Front line AI model governance team to run risk assessments on AI use cases and models covering bias explainability privacy security and third-party risk.

• Support model validation ongoing monitoring and issue tracking in line with model risk principles (independent challenge documentation performance and drift thresholds).

• Assist to develop frameworks to map controls to applicable regulations and standards such as the EU AI Act and NIST AI RMF and linked up with our NT AI Policy and Standards.

• Importantly the role is about training NTAM AI key stakeholders ie model owner engineers architects and data practitioners on how to perform these actions and ensure controls are in place so that this becomes a repeatable process.

Safe AI adoption

• Review new AI requests advise teams on risk tiers and required controls and escalate high-risk cases.

• Develop guidance templates and training that make responsible AI use easy for non-technical colleagues.

• Report governance metrics and emerging risks to senior stakeholders and the AI governance committee.

AI telemetry and guardrail monitoring

• Help define and maintain the telemetry that shows AI systems are behaving as intended such as usage prompt and output flags policy violations model drift error rates and human override rates.

• Review dashboards and alerts to confirm guardrails (content filters access limits data loss controls) are working as expected and investigate gaps or false positives with engineering teams.

• Log and track incidents through to resolution and feed lessons back into controls thresholds and risk assessments.

• Report back to Senior Management on AI portfolio telemetry to ensure that there is transparency from different AI initiatives (prioritized by risk tiering) with clear action owner target date closure evidence and escalation points rather than only tracking incidents through resolution.

Training and change management

• Design and deliver AI governance and responsible AI training for employees managers and technical teams tailored to each audience.

• Lead change management for governance rollouts: stakeholder mapping communications champions network and feedback loops.

• Measure adoption and behavior change (training completion policy adherence intake quality) and adjust the approach to improve it.

• Mentor junior analysts and set practice standards for the team.

• Interface with AI Intake process to check submissions for completeness perform initial classification and routing using defined criteria challenge unsupported assertions or unclear ownership and escalate incomplete or potentially higher-risk submissions

• Cross-functional coordination: Explicitly include Technology Data Privacy Cyber Model Risk Operational Risk Compliance Legal TPRM and business teams with responsibility for following up on information actions and evidence.

• Continuous improvement: Identify improvements to templates trackers reporting processes and documentation quality to make oversight more consistent efficient and scalable.

What Success Looks Like

• Within 6 months: the AI inventory is complete and every use case is risk-tiered.

• Business teams get governance guidance quickly and rate the process as clear and useful.

• High-risk models have documented validation and active monitoring.

KNOWLEDGE AND SKILLS

• Working knowledge of data management practice: data quality lineage metadata classification and privacy.

• Proven domain knowledge in financial services

• Understanding of model risk principles and the AI/ML lifecycle including validation monitoring and bias testing.

• Ability to read a policy or regulation and turn it into clear testable controls.

• Strong written and verbal communication; comfortable advising senior and non-technical audiences with a track record of delivering training and driving adoption of new ways of working.

• Practical pragmatic mindset that enables adoption rather than blocking it.

• Bachelors degree in data science engineering risk law business or a related field.

• Experience in a regulated industry such as financial services healthcare or insurance.

• Familiarity with frameworks such as NIST AI RMF ISO/IEC 42001 SR 11-7 or DAMA-DMBOK.

• Certifications such as AIGP CDMP CRISC or CIPP.

KEY BEHAVIORAL COMPETENCIES

• Business acumen and the ability to communicate to executives business domain stakeholders and technical staff.

• Strong project management acumen and familiarity working in agile environments.

• Experience with innovation and ideation methods such as design thinking and product management.

• Demonstrated influence communication presentation and facilitation skills.

• Demonstrate the ability to work well with others and exhibit leadership.

• Be an excellent communicator and collaborator engaging with multiple technical and business stakeholders and leaders. Team player with collaborative and inclusive approach.

EXPERIENCE AND EDUCATION

• 10 years in data governance model risk technology risk compliance or a related analytical role.

• Bachelors degree in field like Computer Science Information technology Math Data Science Engineering Statistics Finance (with focus on analysis) etc. and/or relevant proven work experience is required

Working with Us

As a Northern Trust partner you will be part of a flexible and collaborative work culture which has a strong history of financial strength and stability. Movement within the organization is encouraged senior leaders are accessible and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.

Philanthropy is deeply rooted in Northern Trusts history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.

Reasonable Accommodation

Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process please email our HR Service Center at or alternatively you can discuss your individual requirements with the recruiter you are working with.

About Our Bangalore Office

The Northern Trust Bangalore office established in 2005 is home to over 5600 this stunning office space we offer fantastic amenities which include our Arrival Hub - Jungle the GameZone and the Employee Experience Zone that appeal to both clients and employees.Learn more.