AI Performance SME

Technology, Data & Digital · Data, AI & Analytics · Data Science · Artificial Intelligence · Business Analysis

In short

The AI Performance SME drives AI improvements across GFTL processes, translating business needs into measurable value and requirements. This role involves defining and tracking AI investments, managing stakeholders, and providing business operations support for GFTL, including financial forecasts and risk management.

Responsibilities

Drive AI improvements for GFTL processes like research and standardization.
Propose and define AI improvements with a front runner and world first perspective.
Drive and/or support transformation AI initiatives from idea to adoption, ensuring OKRs are met, and business cases fulfilled.
Define and track AI investments, business cases and OKRs for transformation initiatives.
Manage and influence stakeholders to drive decisions and achieve targeted outcomes.
Analyze business needs and translate to functional and non-functional requirements.
Utilize data and analytical skills to create, challenge, and track business cases, business impact, and OKRs.
Support IT Coordination in relation to business improvements, compliance and process adherence.
Build/Maintain financial forecasts for AI token consumption, GPU investments and capacity expansion, AI system and platform investments.
Support process and data improvements in a business architecture perspective.
Manage Enterprise Risk and OKR Admin/Reporting for GFTL.
Monitor financial performance and utilization related to AI investments.
Coach initiative leads and stakeholders to drive successful execution and realization of business objectives.
Organize meetings and forums to monitor and follow up on overall initiative progress.
Identify, manage, and resolve cross-initiative dependencies and risks.
Prepare LT status updates and briefing material.
Develop decision-support material and recommendations.
Analyze and own scaling opportunities and long-term program impact.
Drive and coach in stakeholder alignment and communication across organizations.

Requirements

Ability to translate technical performance gains into tangible business metrics like customer retention, conversion rate improvements, operational efficiency, and revenue growth.
Expertise in calculating and optimizing the Total Cost of Ownership (TCO) for AI deployments.
Planning long-term GPU/compute capacity roadmaps mapped to projected business growth, seasonal demand spikes, and product rollouts.
Understanding performance governance, including data sovereignty compliance, rate-limiting strategies to prevent budget overruns, and fallback mechanisms during model/provider downtime.
Cross-Functional OKR Cascading with seamless integration of AI performance targets.
Guiding legacy engineering or business teams through the transition from traditional software performance models to non-deterministic, compute-heavy AI performance paradigms.
Executive-level translation of technical constraints into clear financial and operational risk/benefit analyses.
Process Management and Project and program management experience.
Financial forecast and control experience.

Benefits

An outstanding opportunity to use your skills and imagination to push the boundaries of what’s possible.
Build solutions never seen before to some of the world’s toughest problems.
Challenged, but not alone.
Joining a team of diverse innovators.
Challenging, but you won’t be alone.
Challenged, but you won’t be alone.
You’ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Ericsson is proud to be an Equal Opportunity Employer.

Skills

AIGPUProcess ManagementProject ManagementProgram Management

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About Ericsson

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