Data and AI Architect Manager
Listed on 2026-10-25
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IT/Tech
Data Engineering, AI Engineer (Applied/Software), IT Project Manager
The Data and AI Architect
- Manager is a pivotal leadership role shaping and scaling enterprise data, analytics, and AI solutions that advance business strategy and deliver measurable results. As a trusted advisor and recognized subject matter expert, this leader helps clients modernize complex data estates and accelerate digital transformation across the Microsoft ecosystem, with a heavy focus on AI-native data platform solutions. This leader drives end-to-end architecture and solution design—connecting business priorities, operating models, data and AI platforms, and application landscapes to create secure, scalable, and high‑performing solutions tailored to each client environment.
By turning complex challenges into clear, actionable data and AI architectures, this role establishes the technical foundation for sustained business value. Come Join Us The Data and AI Architect
- Manager will lead the architecture and technical delivery of high-value data and AI solutions—turning bold designs into scalable, secure, and measurable client outcomes. This role provides hands‑on technical oversight from architecture through implementation, drives critical decisions with delivery teams, and partners directly with senior client leaders to navigate complexity, accelerate execution, and ensure solutions deliver lasting business impact.
- Lead enterprise data, analytics and AI architecture, aligning technical decisions with client strategy, delivery priorities, and industry‑leading practices.
- Turn complex business needs into clear, actionable platform architectures, modernization roadmaps, analytics capabilities, and AI‑enabled solutions.
- Architect and oversee secure, scalable enterprise data platforms using Microsoft Fabric, Azure Data Services, Databricks, Snowflake, SQL, Python, Foundry and modern cloud‑native technologies.
- Lead client workshops, architecture reviews, and stakeholder forums that align technical direction, accelerate decisions, and remove delivery roadblocks.
- Create and champion reusable assets, accelerators, and delivery methods that improve quality, speed, and consistency across engagements.
- Set architecture governance, quality standards, and technical guardrails for complex data migration, analytics modernization, reporting, and AI programs.
- Shape delivery plans through pragmatic estimation, technical design, architecture governance, and clear implementation roadmaps.
- Partner with senior client leaders and account teams to connect data and AI investments to measurable business outcomes and long‑term value.
- Provide hands‑on technical oversight from architecture through implementation, validating critical design choices and ensuring solutions are built to perform at enterprise scale.
- Anticipate and resolve technical risks, dependencies, and delivery challenges before they affect scope, quality, or outcomes.
- Guide and mentor architects, engineers, and cross‑functional delivery teams, raising technical standards and building confidence in execution.
- Coordinate with global teams and technology partners to bring the right expertise to each engagement, share knowledge, and scale proven Data & AI capabilities.
- Apply emerging advances in data engineering, generative AI, agentic AI, real‑time intelligence, IoT, and cloud platforms to continuously elevate client solutions.
- Enterprise Data Platform Architecture
- Deep expertise in the Microsoft Data & AI platform and ecosystem
- Expertise in Knowledge Engineering and building Knowledge Graphs
- Expertise in data modeling, semantic modeling and ontologies
- Technical skills:
Microsoft Fabric, Databricks (Data Platform and Genie), Python, Neo4J, SQL, Power BI, Foundry, Copilot Studio
- Ability to work a flexible schedule…
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