Senior Data Architect - Artificial Intelligence
First seen by Alion on Oct 29, 2026.
Role Overview :
We are looking for a Senior Data & AI Lead/SR Data Architect to drive end-to-end data solutions and Gen AI programs for enterprise clients. This role will focus on solutioning, running large-scale AI pods, and delivering measurable business outcomes through data modernization/solutions initiatives.
Key Responsibilities :
- Lead end-to-end delivery of data modernization and Gen AI programs across clients
- Own solution design and execution for data platforms, analytics, and AI use cases
- Run and scale Gen AI pods, ensuring alignment across engineering, data science, and business teams
- Act as a trusted advisor to client leadership, translating business problems into data/AI solutions
- Drive architecture discussions across modern data stacks (lakehouse, real-time, Gen AI integration)
- Ensure value realization by tying solutions to business KPIs and ROI
- Establish delivery governance, operating models, and best practices for AI programs
- Mentor junior team members and build high-performing pod structures
- Support pre-sales, solution pitches, and account growth strategies
- Keep track of latest trends and solutions modern data stack for clients.
Required Skills & Experience :
- 4 - 8 years of experience in data, analytics, and AI consulting or delivery leadership roles
- Strong expertise in data modernization (cloud data platforms, pipelines, governance)
- Hands-on experience with Gen AI solutions (LLMs, copilots, RAG architectures, enterprise AI use cases)
- Proven experience in running large-scale delivery teams or pods
- Deep understanding of cloud ecosystems (GCP/AWS/Azure)
- Has executed and run enterprise level data solutions and architectures.
- Strong client engagement and executive communication skills
- Exposure to Data Quality frameworks, Mesh, Fabric, Data Products, MDM, Governance and Marketplace
Preferred Qualifications :
- Experience in enterprise-wide data transformation programs
- B Tech/M Tech in Computers.
- Strong understanding of AI governance, responsible AI, and data security
- Background in consulting firms or system integrators
Skills
Data Architect, Artificial Intelligence, Data Engineering, Generative AI, Python, SQL, ETL