Director, AI Center of Excellence

LanguageLine Solutions

1d•$175,000 - $190,000•Remote

About The Position

The Director, AI Center of Excellence will build and lead the AI Center of Excellence for LanguageLine, while also supporting broader Teleperformance Specialized Services collaboration where shared opportunities, standards, and reuse make sense. This leader will help shape and turn AI strategy into a practical operating model by establishing governance, prioritizing opportunities, enabling responsible adoption, and helping business teams convert AI ideas into measurable operational and client value. This role reports to the CTO and serves as the day-to-day leader of the COE. The Director will balance strategy, execution, governance, and stakeholder leadership with a primary focus on LanguageLine and a secondary focus on cross-company coordination across Specialized Services where appropriate.

Requirements

Experience leading or scaling an AI, automation, digital transformation, or innovation function
Experience defining governance, operating models, and delivery mechanisms for emerging technology initiatives
Experience partnering with business leaders to prioritize and operationalize AI use cases
Experience working across multiple business functions, such as sales, finance, marketing, HR, and operations, to identify adoption barriers, workflow opportunities, and training needs
Experience working with modern AI capabilities, including LLM-based applications, copilots, automation, and model-enabled business applications
Practical experience using AI-assisted development and coding tools to improve team velocity, prototyping, and software delivery workflows. Examples may include tools such as Codex, Claude, GitHub Copilot, Cursor, or similar platforms.
Experience balancing experimentation speed with security, risk, legal, and compliance considerations
Strong executive communication and stakeholder management
Executive presence and the ability to brief senior leadership on AI progress, implications, opportunities, and risks in clear business terms
Ability to translate between technical teams and business leaders
Strong judgment in prioritization, governance, and organizational design
Practical understanding of responsible AI, model risk, and AI policy frameworks
Strong familiarity with AI-native engineering workflows and how coding assistants can change prototyping, product development, and team operating models
Ability to shape role-based AI literacy and training programs in partnership with HR or learning teams
Bias for action, clarity, and lean execution
Support LLS’ Quality Management System (QMS) to continually improve the Division’s processes, procedures, and services; and thereby increase efficiency, productivity, effectiveness, and customer satisfaction

Nice To Haves

Experience designing, leading, or scaling technology adoption, enablement, or training programs is strongly preferred
Experience building cross-functional programs across multiple business units or companies
Experience leading small high-performing teams in ambiguous environments

Responsibilities

Stand up and lead the operating model for the AI Center of Excellence
Help shape executive thinking on AI priorities and translate that direction into a practical AI roadmap, delivery model, and governance framework
Build the COE as a lean, high-credibility enablement function rather than a centralized bottleneck
Partner with LanguageLine business and functional leaders to identify, assess, and prioritize AI opportunities, with secondary support for broader Specialized Services coordination where relevant
Build and maintain a LanguageLine-focused AI roadmap aligned to business goals, risk posture, and enterprise priorities, while helping identify shared opportunities across Specialized Services
Create clear intake, prioritization, and decision frameworks for AI initiatives
Regularly present AI COE progress, priorities, key developments, risks, and market-relevant AI updates to the LanguageLine executive team
Define and operationalize AI governance, policies, standards, and playbooks aligned with TP Global AI Policy and ISO 42001
Develop practical risk-tiering and review approaches for AI initiatives
Ensure the COE supports responsible model development, usage, procurement, and deployment without creating unnecessary friction
Partner with domain teams on high-impact, complex, or high-risk AI initiatives
Support business case development, benefits framing, and implementation planning
Create mechanisms to measure AI adoption, effectiveness, and business impact
Work with business functions across Specialized Services, including sales, finance, marketing, HR, operations, and other teams, to identify AI enablement opportunities and role-specific capability gaps
Work closely with LanguageLine functions, including sales, finance, marketing, HR, operations, and other teams, to identify AI enablement opportunities and role-specific capability gaps, and extend that coordination to Specialized Services businesses where useful
Establish and maintain a living inventory of AI systems, experiments, and use cases across Specialized Services
Create systems to capture and share AI learnings, tools, models, and implementation patterns
Lead training, roundtables, and enablement efforts that improve AI literacy and readiness across the organization
Assess AI training needs across functions and help define role-based learning paths for leaders, managers, builders, and frontline or operational teams
Deliver selected training and awareness sessions directly while also coordinating with HR, learning teams, and external partners where scaled or specialized training is needed
Partner with HR and learning teams to operationalize required AI training, awareness, and policy rollout through enterprise mechanisms such as Workday where appropriate
Hire, coach, and lead a small team supporting rapid prototyping, enablement, and delivery acceleration
Oversee a lightweight SWAT capability for AI proofs of concept and early-stage pilots
Set a high bar for pragmatism, speed, responsible AI practices, and business alignment