AI/ML Tech Platform Manager

Adusa

Salisbury (NC)

Hybrid

USD 136,000 - 204,000

Full time

2 days ago
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Job summary

Ahold Delhaize USA is seeking an AI/ML Tech Platform Manager to own a major platform area, set the roadmap, and balance reliability, cost, and developer experience. You will partner with engineering managers and architects to translate stakeholder needs into measurable platform capabilities.

The role supports a hybrid work schedule with 3 in-person days at core locations (Salisbury, NC; Chicago, IL; Quincy, MA) and 2 remote days, and requires US work authorization.

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, translating needs into platform requirements.

Responsibilities

  • Maintain vision and roadmap for assigned platform domains and investments.
  • Advocate for stakeholder needs by gathering feedback and operational signals.
  • Translate stakeholder needs into platform requirements and acceptance criteria.
  • Prioritize capabilities, manage tradeoffs, dependencies, and change impacts.
  • Partner with engineers and architects to identify innovations balancing reliability and cost.
  • Monitor lifecycle health including reliability, performance, and security.
  • Support governance by enforcing platform guidelines and change management.
  • Participate in agile ceremonies and provide guidance for decisions.
  • Provide platform owner review and signoff before components are done.
  • Collaborate with product teams to drive adoption and measure value realized.
  • Coordinate outward communication to platform consumers about outages and releases.
  • Report progress, risks, and decisions to leadership with timely updates.
  • May be called to support critical escalations and urgent IT incidents.

Skills

Platform leadership
Azure
Databricks
Agile planning
Stakeholder management

Education

Bachelor's degree

Tools

Azure
Databricks

Job description

Introduction

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


Overview

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.


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.


Requirements


  • 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 engineering teams.


Salary Range: $136,160.00-$204,240.00


Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

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