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Director, AI Center of Excellence

Key Facts

Remote From: 
Full time
175 - 190K yearly
English

Other Skills

  • Governance
  • Training And Development
  • Problem Solving
  • Team Leadership
  • Collaboration
  • Communication
  • Critical Thinking
  • Emotional Intelligence

Roles & Responsibilities

  • Experience leading or scaling an AI, automation, digital transformation, or innovation function
  • Strong executive communication and stakeholder management
  • Practical understanding of responsible AI, model risk, and AI policy frameworks
  • Ability to shape role-based AI literacy and training programs in partnership with HR or learning teams

Requirements:

  • Lead the AI Center of Excellence and establish the COE as a trusted capability
  • Partner with LanguageLine business and functional leaders to identify AI opportunities
  • Define and operationalize AI governance, policies, standards, and playbooks
  • Create mechanisms to measure AI adoption, effectiveness, and business impact

Job description

Job Description

Job Title: Director, AI Center of Excellence

Department: Technology

Reports To: Chief Technology Officer

Classification: Exempt

Management Level: Director

Position Summary

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.

Key Essential Functions:

Lead the AI Center of Excellence

  • 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

Drive AI Strategy and Portfolio Prioritization

  • 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

Establish Responsible AI Governance

  • 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

Accelerate Adoption and Business Value

  • 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

Build Reuse and Organizational Capability

  • 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

Lead a Small Applied AI Team

  • 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

What Success Looks Like

Within the first year, this leader should be able to:

  • establish the COE as a trusted capability within LanguageLine, with credible extension points into broader Specialized Services collaboration
  • establish a strong, credible reporting cadence with the LanguageLine executive team
  • deliver a credible inventory of AI systems, opportunities, and risks
  • implement a practical AI governance model aligned with enterprise policy
  • launch a prioritized roadmap of high-value AI opportunities
  • improve reuse of AI tools, lessons, and patterns across companies
  • establish a practical AI literacy and training approach across key functions, with HR-supported rollout for required learning where needed
  • demonstrate measurable wins in adoption, efficiency, client value, or workforce augmentation

Candidate Profile

The right candidate is comfortable operating across strategy, transformation, governance, and execution. This is not a pure research role and not a pure PMO role. It requires someone who can work credibly with executives, business leaders, technologists, and hands-on builders.

Preferred Experience

  • 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 workflows, 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
  • 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

Preferred Knowledge, Skills & Abilities

  • 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

Suggested Backgrounds

Strong candidates may come from backgrounds such as:

  • AI strategy and transformation leadership
  • enterprise innovation and incubation leadership
  • applied AI product or platform leadership
  • technology program leadership with strong AI and governance depth

The minimum and maximum full-time annual salary for this role is listed below, by location. Please note that this salary information is solely for candidates hired to perform work within this location. Experience and education refers to LanguageLine Solutions’ current salary range for this position. US CA Monterey Headquarters and US (Remote) pay range is $175,000.00 - $190,000.00 USD Annually. This role is also eligible for bonus potential. In addition, we offer a comprehensive benefits package including medical, dental, vision, and a 401(k) plan.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

We expect to accept applications for 60 days from posting date.

Interested candidates are encouraged to apply by visiting our careers site, where you can review the full job description and submit your application online.

TP Core Skills Taxonomy

  • AI Proficiency
  • Collaboration
  • Communication
  • Critical Thinking
  • Data Literacy
  • Emotional Intelligence
  • Entrepreneurship
  • Open-Mindedness
  • Process Excellence
  • Solution Orientation

Work Environment: Remote

Travel Requirements: 10%

Physical Requirements: Office Clerical Category

Compliance Requirements:  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

For U.S. Positions: Candidates must be authorized to work in the US without the need for visa sponsorship. At this time,
Teleperformance Specialized Services Companies does not offer visa sponsorship for this position.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race. color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information or any other consideration prohibited by law or contract.

Compliance with Disability Laws. It is the policy of LanguageLine that qualified individuals with disabilities not be discriminated against because of their disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. It is also our policy to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process. We are prepared to modify or adjust the job application process or the job or work environment to make reasonable accommodations to the known physical or mental limitations of the applicant or employee to enable the applicant or employee to be considered for the position he or she desires, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship.

VEVRAA Federal Contractor requesting appropriate employment service delivery systems, such as state workforce agencies and local employment delivery systems, to provide priority referrals of protected veterans.

PAY TRANSPARENCY NONDISCRIMINATION PROVISION
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-I.35(c)

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