Senior Manager – Supply Chain and Third-Party Risk Management

EY manager leading AI-powered third-party risk monitoring, vendor scoring, and supply chain security analytics. Managing risk teams, governance reporting, and AI-enabled TPRM innovation.

Posted 9/3/2026full-timeBengaluru • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-powered Third-Party Risk Management (TPRM) frameworks, vendor risk assessment lifecycles, and predictive modeling techniques. Proficient in building and managing AI-enabled vendor risk scoring models and developing executive-ready risk reports for senior leadership.

Highest-signal resume keywords

AI-Powered TPRM FrameworksVendor Risk Assessment Lifecycle ManagementPredictive Modeling TechniquesGraph AI DeploymentStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TPRM FrameworksPredictive ModelingVendor Risk Scoring ModelsAI GovernanceMachine Learning Model GovernanceData-Driven Decision-MakingAutomated Control TestingRisk Mitigation PlansSupply Chain Risk AnalyticsVendor Due Diligence

Soft Skills

Team LeadershipExecutive CommunicationMentoringRelationship BuildingQuality Oversight

Tools & Technologies

PythonRPower BITableauGraph AI FrameworksAI-Driven Continuous Monitoring Platforms

Certifications & Qualifications

CISSPCISMCRISCCTPRPISO 27001 Lead ImplementerPMPAzure Data Scientist AssociateAWS Certified Machine LearningGoogle Professional Data EngineerDatabricks Certified Associate Developer for Apache Spark

Industry Keywords

NIST SP 800-161ISO 27036DORACPS 234MAS TRMGDPRConcentration RiskGeopolitical OverlaysAI Security RisksFrontier AI

Tech Stack

Tools & technologies

ApacheAWSAzureCyber SecurityNeo4jPMPPythonSparkTableau

About the role

Key responsibilities & impact

Lead the design and implementation of AI-powered TPRM continuous monitoring frameworks
Build automated vendor risk alerting and real-time dashboard capabilities
Develop and manage AI-enabled vendor risk scoring models using threat intelligence, financial health data, and control assessment outcomes
Apply predictive modelling to forecast vendor risk trajectories, breach probabilities, and supply chain disruption scenarios
Deploy Graph AI to map vendor ecosystems, identify nth-party dependencies, and visualize supply chain concentration risks
Oversee the third-party risk assessment lifecycle across critical and strategic vendor portfolios
Lead supply chain risk analytics across geographies, sectors, and technology stacks
Manage vendor due diligence processes and assessment methodology, scoring, and reporting standards
Collaborate with procurement, IT, legal, and business units on vendor governance decisions
Develop executive-ready risk reports, heat maps, and KRI/KPI dashboards for senior leadership and board-level reporting
Lead Senior Consultants and Analysts through mentoring, quality oversight, and performance management
Drive AI-led automation, data-driven decision-making, continuous improvement, and practice development
Build relationships with internal clients, senior leadership, and external partners

Requirements

What you’ll need

Bachelor’s degree in engineering, Technology, Business, Risk Management, or related disciplines
8–12 years of experience in TPRM, cyber risk, or information security
At least 3 years in a leadership or management role
Deep expertise in TPRM frameworks including NIST SP 800-161, ISO 27036, and regulatory TPRM requirements
Experience managing vendor risk assessment lifecycles at scale, including onboarding, periodic review, and exit management
Strong knowledge of multi-tier vendor governance, concentration risk, and geopolitical overlays
Experience using AI in TPRM processes, including assessor evaluation, issue descriptions, risk mitigation plans, and automations
Understanding of AI governance and AI security risks from third parties using AI and AI agents
Understanding of Frontier AI and Mythos impacts on cybersecurity and modern third-party threats
Experience with DORA, CPS 234, MAS TRM, and GDPR
Ability to build and manage TPRM programs across complex, multi-entity environments
Hands-on experience building AI-enabled vendor risk scoring models using structured and unstructured data
Practical experience with predictive modelling, including regression, classification, and time-series techniques
Experience deploying Graph AI frameworks for supply chain risk mapping and network analysis
Expertise in AI-driven continuous monitoring platforms and automated control testing tools
Proficiency in Python, R, Power BI, and Tableau
Understanding of machine learning model governance, explainability requirements, and AI risk management standards
Excellent stakeholder management, executive communication, and team leadership skills
Relevant certifications such as CISSP, CISM, CRISC, CTPRP, ISO 42001, ISO 27001 Lead Implementer, PMP, Azure Data Scientist Associate, AWS Certified Machine Learning, Google Professional Data Engineer, Databricks Certified Associate Developer for Apache Spark, or Neo4j Certified Professional are advantageous

Benefits

Comp & perks

EY global scale, support, and inclusive culture
Career development opportunities
Mentoring and professional development
Opportunity to contribute to thought leadership, tool evaluation, and methodology innovation