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AI Enablement & Product Lead

Remote / Online - Candidates ideally in
Wendell, Wake County, North Carolina, 27591, USA
Listing for: Siemens
Full Time, Remote/Work from Home position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, IT Business Analyst
  • Business
    AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 102459 - 175644 USD Yearly USD 102459.00 175644.00 YEAR
Job Description & How to Apply Below
Location: Wendell

Job :
Wendell, North Carolina, United States of America Salary: $102,459 - $175,644

Company:
Siemens
AI Enablement & Product Lead

Job

523767

Posted since

05-Oct-2026

Organization

Smart Infrastructure

Field of work

Strategy

Company

Siemens Industry, Inc.

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

Wendell
- North Carolina
- United States of America
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first.

Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

We are looking for an AI Enablement & Product Lead. This position will be based in Wendell, NC, with remote work considered for highly qualified candidates.

The AI Enablement & Product Lead serves as the primary connection between the AI Excellence team and the Business Unit, ensuring that AI investments address meaningful business problems, are prioritized appropriately, and ultimately achieve adoption and measurable value.

The role combines AI product management, business analysis, demand shaping, portfolio management, and organizational enablement.

Rather than simply receiving AI requests, this individual works directly with business stakeholders to understand underlying problems, identify appropriate opportunities and shape those opportunities into actionable initiatives.

The role owns the front end of the AI lifecycle while remaining engaged through delivery and adoption as the business/product owner counterpart to the AI Solutions & Architecture Lead.

You’ll make a difference by:

Demand discovery and shaping – Engage business functions, segments, and operational teams to identify high-value AI, automation, analytics, process improvement, and technology-enabled opportunities.

Use case development – Facilitate discovery sessions, challenge requests framed around specific technologies, and translate business problems into well-defined use cases.

Demand management and prioritization – Establish and operate the AI demand intake process, evaluate value, feasibility, effort, risk, and strategic alignment, and groom the opportunity pipeline.

AI product ownership – Translate business needs into requirements, user stories, backlogs, acceptance criteria, and delivery priorities while keeping solutions aligned to business outcomes.

Portfolio visibility and value realization – Maintain portfolio reporting, develop business cases, define measurable success criteria, track adoption and utilization, and communicate outcomes to leadership.

AI champion community – Build and support the AI Champion network with clear expectations, reusable resources, feedback mechanisms, and structured engagement to accelerate adoption.

Adoption and capability building – Develop practical AI education, playbooks, guidance, use-case examples, and learning activities that help teams adopt new capabilities and ways of working.

You’ll win us over by having the following qualifications:

Basic Qualifications:

Bachelor’s degree required.
3+ years of experience with the following:
Product management, digital transformation, business process improvement, technology delivery, AI enablement, or related disciplines.

Practical enterprise AI capabilities, use cases, adoption models, and technology-enabled business improvement.

Translating business needs into technology…
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