Junior Data Manager/Architect

Job Summary: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. Required Skills & Experience:
• 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 Preferred Qualifications:
• 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