Senior Manager, Tech Risk & Analysis - Strategic Tech Risk Advisor

As a Sr. Manager, Technology Risk Advisor in the Financial Services Risk Office, you will be a strategic risk partner to business leaders and senior technology executives, directly shaping our technology risk posture. This is a high-impact leadership role where you will be on the front lines of technology innovation, specifically responsible for designing and governing the responsible implementation of AI, risk assessment for integration of acquired company technology, and other large scale architecture transformation programs.

You will leverage your analytical and risk management expertise to drive meaningful outcomes, influence corporate policies and standards, and ensure the resilience of our enterprise technology. In this role, you will lean into your technology engineering/architecture, risk management, analytical and problem solving skills by identifying and deploying innovative solutions to mitigate risks to the Company, You will thrive in a cross-functional and collaborative environment that values unique perspectives, rewards innovation, and challenges the status quo.

As an integral member of the team, you will have a high level of exposure across the division and partner closely with senior technology, business and risk office leaders, technology, compliance, legal, and operational risk.

Summary:

Applies expertise on tech and cyber best practices to assess current state, identify gaps, and assess tech and cyber risk, threats, and business impact. Defines mitigation strategies, prioritizes and escalates recommendations. Participates in design and implementation of cyber control programs. Cybersecurity area-specific SME [knowledge of risk frameworks, information security risk assessments, information risk controls, regulatory and internal governance], data analysis [metrics and reporting], and customer engagement.

• Act as the Strategic Risk partner, providing end-to-end tech and cyber risk advice and partnership for senior technology executives, providing comprehensive support to engineering organizations while driving the strategic vision for risk assessment and management programs.
• Understand platform & infrastructure Risk with an ability to assess the security, reliability, and resilience of the underlying technical platforms (including potential multi-cloud GPU orchestration, API gateways, third-party model providers, SaaS integrations, generative AI solutions, and open-source model pipelines).
• Maintains a broad understanding of relevant operating systems and their respective vulnerabilities in order to quickly identify the severity of potential issues [doesn't just know how the tools and reports work, but also how to recognize risk].
• Leads technology risk assessments of large scale technology change initiatives to ensure all of the risks and potential areas of non compliance are identified, documented, and planned for appropriate remediation.
• Develops risk strategy and lifecycle risk management for technologies in scope.
• Quickly and accurately analyzes data, assesses risk, and prioritizes published threats and potential risks to differentiate critical, high-risk, and low-risk issues, and escalates as appropriate.
• Develops executive advisory & reporting: ability to synthesize complex technical risk profiles, model performance issues, and mitigation progress into strategic insights for executives, Board Risk Committees, and senior leadership.
• Rationalize tech and cyber controls to align with technology processes, influencing updates to enterprise policies, standards, and control descriptions to proactively remediate exceptions.
• Demonstrates cross-functional influence & engagement: partner seamlessly across Engineering, Data Science, Cyber Security, Legal, Compliance, and other Risk disciplines.
• Researches, assembles, and/or evaluates information regarding industry practices or applicable regulatory changes; recommends sound, practical solutions to complex issues.
• Ability to deep-dive into Gen AI system architectures—evaluating risks specific to LLMs/SLMs, model fine-tuning, retrieval-augmented generation (RAG), vector databases, prompt injection, hallucination rate thresholds, model drift, IP infringement, and training data privacy.

• Bachelor’s Degree or military experience
• At least 7 years of experience in technology engineering, technology architecture, or technology risk management or a combination.