Data Manager (AI Pods & Product Enablement)

Job Description –Data Manager (AI Pods & Product Enablement)
Position:  Data Manager 4B/5A
Location: US – Florham Park , NJ/Dallas, TX (3-4 Days onsite)
Employment Type: Full-Time
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.
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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.
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Required Skills & Experience:
•    6–10 years of experience in consulting, delivery, or program management in data/AI domains
•    Exposure to modern data platforms (Google Cloud Platform/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