AI/LLM Operations Manager

Innodata Inc.; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Innodata Inc. is seeking an Operations Manager to lead client-facing AI data operations, driving delivery, performance, and continuous improvement. You will collaborate with PMs, QA, and stakeholders to ensure timely outcomes, quality, and client satisfaction.

The role emphasizes a data-driven approach, standardization, and a mindset for AI-native operations, with multi-site and fast-paced responsibilities. Strong leadership and communication are essential.

Qualifications

• Minimum 5 years of operations and people management experience in a fast-paced environment.
• Bachelor's degree in IT/CS/Computing or related field.
• Proven adaptability to tech-driven operations and AI-native mindset.
• Strong analytical and problem-solving skills to optimize operations.
• Ability to manage multiple projects concurrently with clear communication.

Responsibilities

• Lead end-to-end deployment of small to medium projects with multiple stakeholders.
• Monitor KPIs and maintain high client satisfaction across engagements.
• Design tracking, monitoring, and reporting for SLAs per client engagement.
• Direct RCA documentation and define resolution and operations strategies.
• Identify risks and drive mitigation with operations leadership.

Skills

Operations management

Leadership

Analytical thinking

Problem solving

Education

Bachelor's degree (IT / CS / Computer Engineering)

Job description

As Operations Manager supporting our AI and Large Language Model (LLM) programs, you will join a global team of subject-matter experts and diverse leaders across a wide range of disciplines. You will own the delivery, performance, and continuous improvement of client-facing AI data operations in one of the fastest-moving sectors in technology.

This is a fast-paced, technology-driven environment that rewards speed, standardization, and an AI-native operations mindset. You will be expected to drive efficiency as the default operating mode, with reactive problem-solving reserved only for genuine exceptions

Delivery & Performance

• Lead end-to-end deployment of small to medium projects in collaboration with Project Managers, Team Managers, Quality Assurance teams, and all stakeholders
• Support total client satisfaction through close monitoring and consistent attainment of daily key performance indicators (KPIs).
• Design and implement tracking, monitoring, and reporting methodologies for all service levels (SLAs) required under each client engagement.
• Direct Root Cause Analysis (RCA) documentation across the team and define resolution and operations strategies to achieve all service-level commitments.
• Assess and prioritize the top operational issues affecting productivity, capacity, delivery, quality, and training, and implement mitigation measures with fellow Operations leaders.

Process & Continuous Improvement

• Translate business requirements into executable operations plans and collaborate with support teams during deployment and execution.
• Drive standardization and efficiency across processes, embedding continuous improvement as a core operating discipline.
• Improve policies, products, processes, and support systems by providing data-driven insights and surfacing feedback from frontline teams.
• Identify potential risks or issues with project implementation and proactively drive communication with internal and external stakeholders.
• Lead project and process kick-offs, monitor and report status, and initiate resolution discussions for any challenges.

Change & Stakeholder Management

• Manage, monitor, and communicate change delivery items, partnering with client change management teams on the implementation of change orders and requests.
• Coordinate new-hire deployment to client platforms and ensure alignment on service-level expectations.
• Partner with Quality Assurance teams on shared goals, quality standards, and productivity benchmarks.
• Coach and mentor all leaders within your span, cascading consistent people-management practices down to frontline analysts and raters.
• Strengthen the management of training programs — planning, design, development, delivery, process review, and performance evaluation.
• Support senior leaders on business and expansion strategies, revenue and profitability goals, and overall financial improvement plans.

Required

• Minimum 5 years of operations and people management experience, including managing other leaders, in a fast-paced, multi-site environment.
• Bachelor's degree required. Degrees in Information Technology, Computer Science, Computer Engineering, or a related computing
• Proven adaptability to a technology-driven environment, with a clear aptitude for adopting new tools and an AI-native operations mindset.
• Strong analytical and problem-solving skills, with the ability to gather and interpret insights to streamline operations and elevate client experience.
• Demonstrated ability to manage multiple projects concurrently through to successful implementation.
• Excellent written and oral communication skills, with English proficiency at C1 (CEFR) or above. Native proficiency in another language is considered only where operationally required.
• Comfort with the availability and responsiveness expectations of a senior operational role, including flexibility to support urgent business and client needs.

Preferred

• Lean Six Sigma Yellow Belt certification, PMP, or other relevant project management certification is an advantage.
• Exposure to AI data operations, data annotation, prompt evaluation, content moderation, trust and safety, or LLM-related managed services.
• Experience supporting global technology clients in competitive, high-growth, or technology-driven operations environments.

CORE COMPETENCIES

Execution & Standardization: Drives delivery with urgency, discipline, and data; treats standardization and efficiency as the default, not the exception.

Change Agility: Thrives amid rapid change and ambiguity in a fast-scaling, technology-driven environment.

Analytical Problem-Solving: Turns operational data into insight, identifying opportunities for innovation and improvement.

People Development: Grows leaders and frontline talent; cascades consistent people-management practices across the span.

DIVERSITY, EQUITY, INCLUSION & BELONGING

At Innodata, Diversity, Equity, Inclusion, and Belonging are at the heart of who we are. With over 35 years of expertise, we foster an inclusive workplace that celebrates the rich diversity of backgrounds, experiences, and perspectives our employees bring — diversity that fuels our innovation in AI and data engineering. We encourage individuals from all walks of life to apply, particularly those who may feel they don't meet every qualification or who hesitate due to their identity. Through inclusive learning initiatives, Employee Resource Groups, and flexible work arrangements, we create a sense of belonging for every team member, whether remote or onsite.