8+ years in platform, product, or technical leadership roles.
6+ years in the AI/ML space.
5+ years of experience with Azure.
5+ years of experience with Databricks.
Strong understanding of lifecycle management and operational excellence.
Proficient in agile planning and stakeholder communication.
Responsibilities
Maintain vision and roadmap for platform domains.
Gather customer feedback and operational insights to advocate for stakeholder needs.
Translate stakeholder needs into platform requirements and service definitions.
Prioritize and deliver capabilities while managing tradeoffs and dependencies.
Identify innovation opportunities in partnership with engineering teams.
Monitor lifecycle health and guide improvements to reduce operational risk.
Support platform governance and collaborate with other platform owners.
Benefits
Flexible/hybrid work schedule with 3 in-person days and 2 remote days.
Core office locations in Salisbury, NC, Chicago, IL, and Quincy, MA.
Opportunity to work on a major platform area with significant impact.
Engagement in agile ceremonies and continuous improvement initiatives.
Full Job Description
Category/Area of Expertise: Data-Science & Analytics Job Requisition: 561337 Address: USA-NC-Salisbury-2085 Harrison Road Store Code: Arch/Data - Business Intell & Analy (5119285)
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 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.
