Technical Project Manager – Data Platforms, AWS, AI Enablement
Location:
Hybrid Experience Required:
8+ Years (preferred) Role Overview
We are looking for a
Technical Project Manager
to work directly with the engineering team supporting our
Data Products, Data Fabric, Data Portal, Metadata, and Agent AI enablement
work. This is a true
Delivery Project Manager
role. The person needs to be embedded with the engineering team day-to-day, helping organize
Jira, clarify priorities, track sprint progress, manage dependencies, and ensure the team is focused on the right work. Key Responsibilities
Own
and maintain the team's Jira structure, backlog, sprint board, epics, stories, dependencies, and delivery tracking. Work directly with
engineers, TALs, architects, product owners, and business stakeholders
to clarify scope and priorities. Ensure engineering work is properly broken down, sequenced, assigned, and progressing against committed timelines. Run delivery routines including
sprint planning, backlog grooming, standups, RAID tracking, status updates, and escalation management . Track blockers, risks, dependencies, and decisions across
Data Products, Data Portal, Metadata, and Agent-related work . Help translate business or product asks into clear engineering deliverables and acceptance criteria. Keep leadership informed on progress, risks, trade-offs, and priority conflicts. Drive accountability and follow-through without needing to be the technical decision-maker. Required Background
Strong
Technical Project Manager / Delivery Project Manager
experience working directly with engineering teams. Strong
Jira
and
Agile delivery management
experience. Working knowledge of
AWS
and cloud-based data platforms. Familiarity with
Data Fabric, Data Products, Metadata, Data Catalog, and Data Portal
concepts. Basic understanding of
AI Agents, LLMs, RAG, Semantic Layers, or Knowledge Graphs . Ability to operate in ambiguity, create structure, and keep teams aligned on priorities.
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