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.

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

Champion responsible AI practices (governance, risk mitigation, ethics).
Deliver measurable business outcomes from AI investments.
Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

Partner with business leaders to identify and accelerate AI opportunities.
Translate complex AI concepts into business-focused narratives for executives.
Provide strategic oversight of AI product delivery (scope, timeline, budget).
Champion innovation, continuous improvement, and AI adoption across the business.
Develop a community of practice for global data scientists to drive reuse and alignment.
Build and maintain strategic partnerships and alliances to maximize value.
Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.
Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).
8+ years of related work experience.
Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.
Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.
5+ years of leadership experience (managing teams of data scientists).
Experience driving enterprise-wide analytics adoption.
Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.
Background in software development/version control.
Strong business acumen and experience presenting to senior executives.
Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

7–10+ years’ experience in AI, Data Science, and Analytics.
Proven ability as a strategic champion to drive AI adoption at scale.
Leadership experience managing diverse data science teams.
Strong emotional intelligence (EQ) and collaborative leadership style.
Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional

Your new job awaits.