Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

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 is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

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

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

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

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

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

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

Risk & Governance Lead – AI & Data Governance | $150K–$165K | McLean, VA / Plano, TX / NYC (Hybrid)

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.