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Data & AI Product Delivery Manager

AmerisourceBergen•United States•🌍 Remote
Full-time7-15
$76K - $119K
per year
👁️ 0 views•📝 0 applications•Posted 10/29/2026•Expires 12/28/2026
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Job Description

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose.

If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details Summary: The Data & AI Product Delivery Manager, Senior is the execution leader for one or more cross‑functional Data & AI product teams and reports to the Senior Director Data & AI Product Operations. This role ensures delivery flow, risk management, and outcome‑aligned execution.

The Delivery Manager ensures utilization of the product operating model, so that the product development process flows efficiently from discovery through delivery.

By proactively aligning teams and resources, the Delivery Manager helps translate Data & AI product management’s strategic priorities into actionable plans, enabling the team to deliver targeted business value.

This role ensures that every step of execution is purposefully connected to the outcomes identified by product management—so the right problems are solved, the right way, at the right time, for maximum impact.

Primary Duties & Responsibilities: Leads end‑to‑end delivery execution and ensures predictable, high‑quality delivery. Utilizes lean, agile, and flow‑based practices to improve throughput and reduce cycle time. Coordinates planning, agile ceremonies, discovery‑to‑delivery handoffs, sprint cadence, and retrospectives.

Collaborates with product team to create and refine user stories, acceptance criteria, and use cases that articulate customer value and expected outcomes. Holds product team members accountable for deliverables; identifies product risks, dependencies, and constraints; and ensures resolution.

Coordinates with Commercialization and broader Enterprise Data, Analytics, and AI teams to ensure product delivery timelines are

Required Skills

LeanAgileFlow-based practicesData & AIProduct managementProduct development processDiscoveryDeliveryRisk managementOutcome-aligned executionProduct operating modelSprint cadenceRetrospectivesUser storiesAcceptance criteriaUse casesCustomer valueExpected outcomes

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