About Our Client

Our client is a global industry leader in the BPO and customer experience sector, with major delivery centers across the USA, Mexico, and the Philippines. Serving numerous Fortune 500 and enterprise customers, they consistently outperform competitors on service quality, operational delivery, and client satisfaction.

With 13 000 + employees, 24 x 7 operations, and a collaborative executive team, the company continues to expand rapidly. Its culture balances client excellence with employee engagement, empowering leaders and teams to perform at their best while fostering innovation and accountability.

The Opportunity

The IT Program Manager will lead complex, enterprise scale AI and machine learning initiatives that drive modernization, automation, and operational efficiency across a global platform.

This is a senior leadership role responsible for orchestrating cross functional technology programs from strategy through execution. You will align executive vision, technical delivery, financial discipline, and operational readiness to ensure AI initiatives deliver measurable business value on time and within budget.

This role is ideal for a seasoned program leader who understands both technology depth and enterprise execution complexity.

The Ideal Profile

You are a structured, outcomes driven program leader with deep experience managing large, multi workstream technology initiatives. You understand AI and machine learning concepts well enough to challenge assumptions, assess feasibility, and ensure realistic delivery planning.

You are comfortable operating at both executive and technical levels, translating strategic intent into executable roadmaps while maintaining financial and operational discipline.

Working Model & Eligibility

• Flexible working model. Hybrid or remote considered depending on location.

  
  

What You’ll Lead

Enterprise AI Program Delivery

• Lead end to end execution of complex AI and machine learning programs across multiple business units and geographies.

• Define program roadmaps, milestones, dependencies, budgets, and success metrics aligned to executive objectives.

• Ensure delivery timelines, financial controls, and risk mitigation plans are clearly defined and actively managed.

Cross Functional Coordination

• Partner with engineering, data science, IT, operations, compliance, and executive leadership to align priorities and resources.

• Facilitate governance forums, steering committees, and executive reporting cadence.

• Drive accountability across stakeholders to ensure delivery commitments are met.

AI Strategy & Governance Alignment

• Support AI governance frameworks and ethical AI considerations within program structures.

• Ensure lifecycle management standards, documentation, and risk controls are embedded into delivery processes.

• Promote responsible AI practices across program execution.

Agile & Change Management

• Lead programs using Agile and Scrum methodologies where appropriate.

• Integrate change management and organizational transformation planning into technology rollouts.

• Ensure successful adoption of AI solutions through stakeholder engagement and communication planning.

Program Performance & Reporting

• Track KPIs, financial performance, and program health metrics.

• Identify risks early and implement mitigation strategies to prevent delivery disruption.

• Provide clear executive level updates tied to business outcomes.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, Business Administration, or related field.

• 10 to 15+ years of program management experience, including leadership of complex AI and machine learning initiatives.

• Proven track record delivering large scale technology programs on time and within budget.

• Strong understanding of AI and machine learning technologies, tools, and methodologies.

• Exceptional project management skills with proficiency in modern program management tools.

• Experience with AI governance and ethical AI considerations preferred.

• Familiarity with AI and ML lifecycle management tools.

• Experience with Agile and Scrum methodologies.

• Knowledge of change management and organizational transformation practices.

• Strong background in business analysis, financial planning, and strategic roadmap development.

How Success Will Be Measured

• Delivery Performance: Complex AI programs delivered on schedule and within approved budgets.

• Business Impact: Demonstrable operational efficiency gains or revenue enablement tied to AI initiatives.

• Governance & Risk: Effective risk mitigation and adherence to AI governance standards.

• Stakeholder Alignment: Strong executive engagement, clear reporting, and cross functional collaboration.