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Senior Technical Project Manager – AWS Cloud Data Platforms

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.


See also

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