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AI​/ML Tech Platform Manager

Listing for: AHOLD Delhaize
Full Time position Listed on 2026-11-04
Job specializations:
Salary/Wage Range or Industry Benchmark: 136000 - 204000 USD Yearly USD 136000.00 204000.00 YEAR

Job Description & How to Apply Below

Category/Area of Expertise: Data-Science & Analytics

Job Requisition: 561337

Address: USA-MA-Quincy-1385 Hancock Street

Store Code: Arch/Data
- Business Intell & Analy (5119285)

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands
- Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Primary Purpose

The AI/ML Tech Platform Manager owns a major platform area, prioritizing capabilities, standards, and integrations to improve reliability, developer experience, and cost-effective scale.

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL and Quincy, MA.

Applicants must be currently authorized to work in the United States on a full-time basis.

Duties & Responsibilities
  • Maintain vision and roadmap for assigned platform domains, defining the why and what behind platform capabilities and investments.
  • Advocate for stakeholder and tenant needs by gathering customer feedback, usage signals, and operational insights on how the platform is performing.
  • Translate stakeholder needs into platform requirements, service definitions, and clear acceptance criteria in partnership with engineering managers and architects.
  • Prioritize and deliver capabilities; manage tradeoffs, dependencies, and change impacts across teams and integrations.
  • Partner with engineering managers and architects to identify innovation and continuous improvement opportunities across the platform, balancing reliability, cost, and developer experience.
  • Monitor lifecycle health, including reliability, performance, and security; guide improvements that reduce operational risk and technical debt.
  • Support platform governance by partnering with engineering managers across teams to enforce platform guidelines and policies, and by collaborating with other platform owners to improve governance and change management practices.
  • Participate in agile ceremonies and provide feedback and guidance where needed to ensure decisions are documented and follow-through is maintained.
  • Provide platform owner review and signoff with the platform engineering manager before platform components are considered done, ensuring alignment to agreed standards and requirements.
  • Partner with product teams to drive adoption and measure value realization through outcomes, KPIs, and stakeholder feedback.
  • Coordinate outward communication to platform consumers and partners regarding impactful platform events, including outages, releases, and notable changes.
  • Report progress, risks, and decisions to leadership and collaborators with clear, timely updates.
  • May be called upon to support critical escalations and must be available during urgent IT incidents as needed.
Required Qualifications
  • Bachelor's degree or equivalent years of work experience.
  • 8+ years in platform, product, or technical leadership roles.
  • 6+ years working in the AI/ML space
  • 5+ years of experience with Azure
  • 5+ years of experience with Databricks
  • Strong grasp of lifecycle management, integration patterns, and operational excellence.
  • Proficiency with agile planning, ceremony participation, and outcome tracking.
  • Strong communication and stakeholder partnership skills, including the ability to translate needs into clear platform requirements and decisions.
Preferred Qualifications
  • Familiarity with API governance, identity/access, or observability tooling.
  • Experience supporting platform governance and change management across multiple…
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