Why this role

We’re building next-generation Risk Intelligence platforms that enable customers to make trusted decisions at scale, in real time. As a Director of Engineering, you will define and drive the technology and product engineering strategy across a portfolio of products—owning outcomes from 0 1 innovation through 1 n scale and platformization.

You will operate as a business and technology leader, shaping long-term direction, building high-performing organizations, and ensuring that our systems are resilient, secure, cost-efficient, and aligned to evolving customer and regulatory needs.

You will move beyond team-level execution to org-level leadership, setting the bar for engineering excellence, talent development, and cross-functional impact.

What you’ll do

Define and execute engineering strategy: Own the multi-year vision and roadmap for Risk Intelligence products and platforms, aligning with customer value, market trends, and business outcomes while evolving products into scalable platforms.

Drive innovation at scale: Oversee the lifecycle from 0 1 experimentation to enterprise-scale platforms, ensuring strong problem framing, rapid validation, and continuous evolution to meet global, multi-tenant needs.

Lead through leaders: Build and scale a high-performing leadership bench, fostering accountability, empowerment, and a culture of ownership and continuous improvement.

Deliver engineering excellence: Establish standards for architecture, reliability, observability, and operational maturity; drive SLO-based practices and continuous improvement using data (e.g., DORA metrics).

Own business and operational outcomes: Ensure predictable delivery, cost efficiency, and ROI; lead portfolio planning and prioritization while balancing speed, quality, security, and regulatory requirements.

Architect for scale and flexibility: Guide strategic decisions on platforms, data, APIs, event-driven systems, and cloud; drive build vs. buy decisions and ensure long-term scalability and interoperability.

Influence across the organization: Partner with senior stakeholders and represent engineering in executive forums to align with regulatory, risk, and business priorities.

Build a high-performance culture: Promote innovation, inclusion, and accountability while advancing engineering productivity, developer experience, and talent engagement.

What you’ll bring

• 12–18+ years of experience in software engineering, with 5–8+ years in engineering leadership roles

• Proven success leading multiple teams or organizations, delivering complex distributed systems at scale

• Strong track record of defining and executing technology strategy aligned to business outcomes

• Experience scaling products from early-stage innovation to enterprise platforms

• Deep expertise in modern architectures (cloud-native, APIs, event-driven systems, data platforms)

• Demonstrated ability to lead through leaders, influencing across organizational boundaries

• Strong business acumen with experience managing budgets, cost optimization, and investment tradeoffs

• Excellent communication and stakeholder management skills, including executive-level influence

How we’ll measure success

Business & product impact: Revenue growth, customer adoption, retention, satisfaction, and faster time-to-first-value (TTFV) toward strong product-market fit

Engineering excellence: Improved DORA metrics (lead time, deployment frequency, reliability), high service reliability, and consistent SLO attainment

Organizational health: Strength of leadership bench, effective succession planning, and strong employee engagement, growth, and retention

Operational efficiency: Optimized engineering costs (cloud, tooling), with predictable, high-quality portfolio delivery

Technologies you and the organization may use

• Backends & APIs: .NET, Java, Go, Node.js; REST/gRPC; event-driven architectures

• Frontends: React, Next.js, design systems

• Cloud & Platform: Azure/AWS, containers, CI/CD, Infrastructure as Code

• Data & Observability: Distributed data systems, streaming, metrics/logs/traces

We continuously evolve our stack based on customer value, scalability, and operability—not fixed preferences.

Ways of working

• Hybrid collaboration with focused in-person sessions for strategy, architecture, and high-impact alignment moments

• Emphasis on autonomy, clarity, and outcomes over process

Leadership principles (Director-level expectations)

• Think in systems: Optimize for org and platform outcomes, not just team outputs

• Lead through influence: Align diverse stakeholders toward a common vision

• Data-driven decisions: Use metrics, customer insights, and experimentation to guide strategy

• Own the business outcome: Engineering is accountable for both technology and business impact