We are looking for a Junior Data Manager/Architect to support delivery and execution of data solutions and AI-led transformation programs. This role will focus on running AI pods, enabling product build-outs, and delivering data-driven solutions across client engagements.

You will work closely with data engineers, AI/ML teams, product managers, and client stakeholders to drive use cases across modern data stack, Gen AI, and analytics platforms.

Key Responsibilities:

·      Support day-to-day execution of data and AI engagements, ensuring alignment with client goals and timelines

·      Coordinate across AI pods (data engineering, ML, Gen AI, product teams) to drive prototypes and pilots

·      Bring design thinking and product execution to help enable our internal Data GenAI enabled products. Assist in product build-outs, including backlog management, feature prioritization, and release tracking

·      Work with Sales/Data Solutions team to define use cases, user stories, and data requirements

·      Track program KPIs, adoption metrics, and value realization for AI and data initiatives

·      Drive client communication (weekly updates, reports, executive decks)

·      Contribute to solution design discussions around data platforms, Gen AI use cases, and analytics

·      Support pre-sales and proposal development for data and AI opportunities

·      Keep up on the latest in data trends and help build PoV, architypes and help build and execute ARB function of the organization.

·      6–10 years of experience in consulting, delivery, or program management in data/AI domains

·      Exposure to modern data platforms (GCP/AWS/Azure) and data stack (ETL, warehouses, lakes)

·      Working knowledge of AI/ML and Gen AI use cases (LLMs, copilots, automation)

·      Experience working in agile environments with cross-functional pods

·      Strong stakeholder management and communication skills

·      Familiarity with tools like Jira, Confluence, Slack, MS Teams

·      Strong PowerPoint and Excel skills for client-ready deliverables

·      Experience in data modernization, Data Architecture or platform transformation programs

·      Exposure to product development lifecycle (0→1 or 1→N scaling)

·      Understanding of Gen AI frameworks and enterprise adoption patterns

·      Prior experience in client-facing roles in consulting firms