Executive Monroe Consulting Group is recruiting on behalf of a global market leader in digital shopper marketing. Our client is seeking a seasoned Director of Engineering to lead high-impact, global engineering initiatives.
This role offers a remote work setup initially, with a planned transition to a hybrid arrangement (2-3 days onsite) once the Makati office opens, most likely by the end of the first quarter.
Role Overview:
- Our client is evolving from a traditional research- and services-led organization into a product-led, AI-enabled platform company. They are seeking a Director of Engineering to lead this transformation from both an execution and technical leadership standpoint.
- This role owns product engineering delivery, technical direction, and engineering culture, working in close partnership with Product, Data Science, and executive leadership to translate deep behavioral science expertise into scalable software products and platforms.
- The Director of Engineering will be responsible for building a modern, high-trust engineering organization-one that delivers reliably, supports rapid learning, and enables AI-driven capabilities-while operating within environments that demand client trust, data sensitivity, and regulatory compliance.
Key Job Responsibilities:
Product Engineering Leadership
- Own end-to-end engineering delivery across product and platform initiatives
- Translate product strategy into clear, executable engineering plans and milestones
- Establish delivery discipline without unnecessary process overhead
- Balance short-term client commitments with long-term product scalability
Organization & Team Development
- Build and scale a high-performing product engineering organization
- Lead and mentor engineering managers and senior technical leaders
- Define clear roles, expectations, and career paths for engineers
- Foster a culture of ownership, craftsmanship, and pragmatic problem-solving
- Effectively lead distributed and international teams, including offshore engineering
Architecture & Technical Direction
- Provide architectural oversight across data platforms, applications, and integrations
- Guide decisions on cloud infrastructure, data pipelines, and analytics tooling
- Ensure systems are AI-ready, automation-friendly, and built for rapid iteration
- Manage technical debt intentionally while modernizing legacy components
AI & Data Enablement
- Partner with Data Science and Product to operationalize AI and advanced analytics
- Ensure engineering practices support experimentation, model integration, and iteration
- Translate AI capabilities into production-grade, client-ready features
- Balance innovation with reliability, explainability, and governance
Cross-Functional Partnership
- Act as the primary engineering partner to Product leadership
- Collaborate closely with IT, Security, and Compliance on infrastructure and risk
- Align engineering priorities with business, client, and regulatory needs
- Communicate clearly with executives on progress, tradeoffs, and risks
Operational Excellence
- Establish metrics for delivery health, quality, and team effectiveness
- Improve development workflows, tooling, and CI/CD practices
- Ensure strong documentation, observability, and operational readiness
- Support governance requirements without slowing innovation
Key Job Qualifications:
- 10+ years of experience in software engineering, including leadership of product engineering teams
- Proven experience scaling engineering organizations in growth-stage or transforming companies
- Background in SaaS, data platforms, analytics products, or complex client-facing systems
- Experience operating in environments requiring data sensitivity, client trust, or regulatory compliance
Technical Strength
- Strong architectural instincts with hands-on technical credibility
- Deep understanding of modern software development practices and cloud platforms
- Experience integrating AI/ML, analytics, or automation into production systems
- Sound judgment in build-vs-buy decisions
Leadership Style
- Calm, pragmatic, and low-ego leader
- Comfortable operating at both strategic and execution levels
- Trusted partner to Product, Data Science, and executive leadership
- Able to bring structure without bureaucracy and urgency without chaos
