Location: McLean, Virginia or Plano/Dallas, Texas

Work Arrangement: Primarily onsite, with up to six remote weeks per year subject to manager approval

Employment Type: Full-time

Visa Sponsorship: Not available

Relocation Assistance: Available for exceptional candidates

Compensation: $210,000–$230,000 base salary plus annual bonus; approximately $250,000–$280,000 OTE depending on experience

Overview

A leading financial-services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise-risk technology initiatives.

This Director-level individual-contributor role will design and govern enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes and Compliance. The successful candidate will partner with engineering, data, product, security and business stakeholders to drive enterprise modernization, cloud transformation and Generative AI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design secure, scalable enterprise solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns and best practices.

• Ensure long-term scalability, maintainability and resilience.

• Lead architecture reviews and complex technical decisions.

• Balance innovation, delivery speed and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting financial risk, non-financial risk, financial crimes and regulatory compliance.

• Enable enterprise data integration and risk analytics.

• Support regulatory obligations through modern technology platforms.

• Align risk solutions with enterprise architecture, security and data standards.

Cloud and Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization across distributed systems.

• Lead API-first and microservices-based architecture strategies.

• Design integration patterns and micro-frontend solutions.

• Apply twelve-factor application-design principles.

• Support enterprise AI, Generative AI and AI-enabled solution initiatives.

• Guide use of AWS, Azure or GCP, Kubernetes, Kafka and modern engineering platforms.

• Promote CI/CD, DevOps, Agile delivery and enterprise platform engineering.

Technical Leadership and Collaboration

• Provide technical leadership across engineering, architecture and product teams.

• Mentor engineers and influence technical direction without formal line-management authority.

• Translate complex business requirements into practical technical solutions.

• Collaborate with enterprise architecture, security, data and engineering organizations.

• Influence executives through clear technical communication.

• Evaluate emerging technologies against strategic goals.

• Drive enterprise transformation while remaining hands-on with architectural decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering or a related discipline.

• At least 10 years of hands-on software-engineering experience.

• At least eight years in architecture or senior technical leadership.

• Extensive experience leading large-scale enterprise architecture initiatives.

• Enterprise solution architecture, cloud architecture, microservices, API architecture and integration expertise.

• Experience designing cloud-native architectures using AWS, Azure or GCP.

• Strong experience with Kubernetes, Kafka, Java, Python and modern distributed systems.

• Experience with Angular, micro frontends and twelve-factor application design.

• Knowledge of CI/CD, DevOps, Agile delivery and enterprise platform engineering.

• Experience implementing or architecting Generative AI or AI-enabled solutions.

• Experience within a highly regulated industry such as financial services, banking, mortgage or healthcare.

• Strong architecture-governance, executive-communication and cross-functional leadership skills.

• Ability to work primarily onsite in McLean, Virginia or Plano/Dallas, Texas.

• Current authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master’s degree.

• Mortgage or housing-finance experience.

• AWS Solutions Architect Professional or equivalent cloud certification.

• Enterprise digital-transformation leadership.

• Enterprise data-platform and analytics experience.

• Regulatory-technology experience.

Ideal Candidate

The ideal candidate is an experienced enterprise architect with deep cloud and modern-software expertise. They will have led architecture strategy across complex enterprise environments, delivered within regulated industries and influenced executive stakeholders while remaining close to technical decision-making.

They will combine AWS, Kubernetes, Kafka, Java, Python, APIs, microservices, DevOps and GenAI knowledge with sound architecture governance and the ability to turn complex risk and compliance challenges into scalable enterprise solutions.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected under applicable federal, state or local law.

Risk & Governance Lead – Investments & Capital Markets (AI & Data Governance)

📍 Location: Hybrid – 3 days onsite in McLean, VA, Plano, TX, or New York, NY
💼 Employment Type: Full-Time | Mid-Senior Level
💲 Salary Range: $150,000 – $165,000 USD (eligible for annual incentive program)
🎁 Benefits: Comprehensive total rewards package, health coverage, retirement plan, paid time off, and professional development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: None

Shape the Future of AI Risk & Data Governance

Are you passionate about safeguarding the responsible use of AI and ensuring the integrity of critical financial data? This is your opportunity to step into a high-impact leadership role at the intersection of risk management, data governance, and emerging technology.

As the Risk & Governance Lead for Investments & Capital Markets, you will champion data security and compliance for AI-driven models, working closely with senior leaders, technology teams, and compliance experts. Your mission: build a governance framework that balances innovation with regulatory rigor—ensuring AI and data assets are managed ethically, securely, and strategically.

Your Impact

Partner Across the Enterprise – Work with legal, technical, and business teams to identify model data risks and influence decision-making
Drive Risk Assessments – Evaluate and mitigate risks in divisional data management and AI initiatives
Develop & Enforce Policies – Shape governance standards for model data in line with industry regulations and best practices
Champion Ethical AI – Advocate for transparency, fairness, and accountability in AI model design and use
Enhance Security – Collaborate with InfoSec teams to address vulnerabilities in model data management
Ensure Compliance – Oversee adherence to AI and data governance policies, providing guidance and oversight
Build Awareness – Lead training programs on AI ethics, data management, and risk best practices
Measure What Matters – Create KPIs, KRIs, and reporting frameworks to track governance effectiveness

What You Bring

Bachelor’s degree (or equivalent experience)
8+ years in relevant fields, including at least 6 years in operational risk management, compliance, or technology risk
Strong understanding of data management best practices and AI technologies (machine learning, NLP, large language models, computer vision)
Knowledge of regulations such as GDPR, CCPA, and industry standards (e.g., IEEE, NIST, ISO/IEC)
Proven ability to build and maintain cross-functional relationships
Exceptional communication skills—able to bridge technical and business audiences

Preferred:

2–5 years of leadership experience
Experience with model risk management in financial services
Familiarity with housing finance or capital markets

Why This Role?

💡 High-Impact Work – Influence AI governance across a major financial institution
🌐 Cross-Functional Exposure – Collaborate with leaders across legal, compliance, risk, and technology
📈 Career Development – Access to training, mentorship, and advancement opportunities
🏦 Mission-Driven Organization – Be part of a team making housing more accessible and affordable nationwide

The Ideal Candidate

You’re a risk leader with a passion for AI governance, a deep understanding of data security frameworks, and the ability to balance compliance with innovation. You think strategically, act decisively, and know how to turn complex governance requirements into actionable, enterprise-wide practices.

Your new job awaits.