Date listed
4 hours agoEmployment Type
ContractRemote
YesEmployees
1001-5000Glassdoor Rating
4/5 (208 reviews)Found on:
We're looking for a Technical Project Manager to lead delivery on AI and data product initiatives built on Databricks. This role blends technical project and program management with data product management and change management — you'll drive execution across technical teams while ensuring the organization actually adopts and adapts to what's being built. If you can manage a delivery roadmap and a change curve with equal fluency, this role is built for that.
Own technical project and program management for AI and data initiatives, including planning, scheduling, and resource coordination
Manage delivery across data and AI workstreams built on Databricks, coordinating cross-functional technical teams
Apply data product management principles to help define scope, prioritization, and roadmap for data/AI products
Lead change management efforts to drive adoption of new AI-enabled tools, workflows, or data products across the organization
Translate business objectives into structured project plans, milestones, and delivery roadmaps
Identify and manage project risks, dependencies, and cross-team blockers
Facilitate stakeholder communication, including status reporting, roadmap updates, and executive updates
Coordinate across engineering, data science, and business stakeholders to maintain alignment on priorities
Support governance and structured delivery practices across AI and data programs
Proven experience in technical project management and/or program management, ideally on AI or data-focused initiatives
Working knowledge of artificial intelligence concepts and how AI projects are typically delivered
Experience with or strong familiarity with the Databricks platform and data/AI project workflows
Experience in data product management, including scoping and prioritizing data-driven initiatives
Demonstrated change management experience, driving adoption of new tools, processes, or products
Strong stakeholder management and communication skills across technical and business audiences
Ability to manage multiple workstreams and priorities in a fast-moving environment
Relevant certifications (PMP, PMI-ACP, Prosci/change management certification, or equivalent)
Experience with agile or hybrid delivery methodologies
Background in data governance or MLOps practices
Experience in a consulting or professional services environment
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