Overview
As an AI&Data Architecture Associate Manager at Accenture, you will shape data and AI architecture for large clients, enabling scalable, AI-ready data platforms and cloud-powered solutions. You’ll work within the AI&Data Practice to drive architecture vision, mentor junior architects, and lead innovative projects using cutting-edge AI technologies. The role offers exposure to top-tier clients, a global network, and opportunities to prototype new ideas and frameworks. Your work helps clients unlock data-driven opportunities and transform their technology landscapes.
Pay / Benefits
- 25 days vacation
- gym subsidy
- private medical insurance
- 3 extra days leave per year for charitable work
Responsibilities
- Design and implement scalable data solutions using modern technologies under guidance from senior colleagues
- Identify gaps in client architectures and support solution development
- Shape strategies and roadmaps for AI and Data architectures
- Provide ongoing architectural support ensuring solutions are sound and aligned with principles
- Participate in client workshops, including prep, documentation, and follow-up actions
- Capture and translate client requirements into deliverables with senior support
- Contribute to architectural thought leadership on innovation and modern patterns
- Mentor junior architects and guide best practices
- Prototype new technologies and develop PoCs to inform recommendations
- Build and maintain relationships with client stakeholders to align objectives and delivery
Key requirements
- Strategic thinker with analytical and creative mindset
- Experience building AI-enabled data architecture
- Commercial experience with one or more major cloud platforms (AWS, GCP, Azure) and relevant certifications
- Background in software development, data engineering, or data science with interest in AI/Data Architecture
- Expertise in data domains: modelling, pipelining, governance, data consumption
- Working knowledge of Databricks, Snowflake, Palantir
- Excellent communication and collaboration skills
- Experience in client-facing environments and architecting complex data solutions
- Experience leading technical teams and coordinating across project streams
- Strong communication
- Collaboration
- Mentoring and leadership
- AI-enabled data architecture
- Cloud platforms (AWS/GCP/Azure)
- Databricks
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