9 дней назад
Senior Director, Application Development and Enterprise Architecture (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Application Development and Enterprise Architecture (AI): Building and governing enterprise technology, application, architecture, integration, and applied AI capabilities for scalable client solutions and the Helix platform with an accent on generative and agentic AI, secure cloud engineering, and reusable architecture. Focus on moving enterprise AI from strategy and prototypes into production, modernizing channel platforms, leading distributed engineering organizations, and connecting technical execution to client outcomes and business value.
Location: Detroit, United States
Company
is a growth partner for complex B2B enterprises, combining strategy, data and analytics, technology, media, creative, and commerce through AI-enabled solutions and the Helix platform.
What you will do
- Define and execute an 18- to 36-month enterprise technology and AI strategy across client solutions, shared platforms, applications, architecture, and engineering.
- Transform Channel Solutions platforms into reusable Helix architecture and develop domain modules for rebate management, incentive processing, pricing, and related channel offerings.
- Lead the productionization of predictive AI, machine learning, generative AI, copilots, and agentic workflows with governance, evaluation, observability, privacy, and cost controls.
- Govern enterprise and solution architecture, integration patterns, engineering standards, cloud-native delivery, reliability, security, and AI operations.
- Build and coach globally distributed engineering, AI, integration, quality, reliability, and sales engineering capabilities.
- Support strategic client pursuits through discovery, solution architecture, prototyping, estimation, RFP responses, and reusable commercial solutions.
Requirements
- 15+ years of experience in software, application, platform or product engineering and enterprise architecture, including 7+ years leading engineering organizations and distributed teams.
- At least 5 years of sustained accountability for enterprise AI and machine learning, including strategy, production delivery, governance, adoption, and measurable outcomes.
- Production experience with generative and agentic AI, including grounding, evaluation, human controls, safety, privacy, performance, and unit economics.
- Strong expertise in distributed architecture, APIs, event-driven systems, integrations, cloud services, DevSecOps, infrastructure as code, observability, SRE, FinOps, and data platforms.
- Experience integrating enterprise marketing, advertising, customer experience, commerce, analytics, identity, customer data, or CRM platforms.
- Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience.
Nice to have
- Experience in marketing services, digital transformation consulting, enterprise SaaS, martech, adtech, or customer experience technology.
- Experience converting bespoke delivery into reusable intellectual property, managed solutions, accelerators, or platform modules.
- Experience with AWS, Azure, Google Cloud, Databricks, Snowflake, Adobe, Salesforce, customer data platforms, marketing automation, commerce, or enterprise analytics tools.
- Experience serving automotive, manufacturing, industrial, distribution, dealer, franchise, or other complex B2B organizations.
- Relevant cloud, security, enterprise architecture, data, or AI certifications.
Culture & Benefits
- Player-coach leadership model combining strategic direction, team development, and direct technical contribution.
- Globally distributed technical organization with opportunities to work across practices, partners, and client environments.
- Medical, dental, and vision coverage.
- 401(k) retirement plan, paid holidays, and Flexible Time Off.
- Programs supporting wellness, financial security, and professional growth.
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