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