#EG Delivery Lead (Data & AI)

NCS Group; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

NCS Group in Singapore is seeking an experienced Delivery Lead – Data & AI to manage the end-to-end execution of data and AI programs. The role involves coordinating teams, ensuring delivery excellence, and managing stakeholder relationships.

The ideal candidate will have 10-15 years of relevant experience, a strong understanding of data platforms, and proven project leadership skills. This position offers a dynamic work environment with opportunities for mentorship and professional growth.

Qualifications

• 10–15+ years of program/project delivery experience in Data & AI.
• 5 years in senior project leadership or program delivery roles.
• Track record of delivering complex Data & AI initiatives.

Responsibilities

• Lead full lifecycle delivery of Data & AI initiatives.
• Define delivery roadmaps and success metrics.
• Serve as the primary delivery contact for stakeholders.

Skills

Delivery leadership

Data platforms knowledge

Project management

Problem-solving abilities

Stakeholder engagement

Education

Bachelor’s or Master’s in Computer Science, Data Science, Engineering

Tools

Azure

AWS

GCP

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

We are seeking an experienced Delivery Lead – Data & AI to drive end-to-end execution of large-scale data and AI programs. You will coordinate multi-disciplinary teams, ensure delivery excellence, manage senior stakeholders, and provide strong leadership across complex engagements.

Key Requirements

• Strong delivery leadership and program governance
• Deep understanding of data platforms, analytics, and AI solution lifecycle
• Proven ability to manage dependencies, risks, and client expectations
• Confidence leading cross-functional teams in fast-paced environments

Responsibilities

Project Delivery & Execution

• Lead full lifecycle delivery of Data & AI initiatives, ensuring quality, timeline adherence, and budget control.
• Define delivery roadmaps, milestones, and success metrics aligned to business and client outcomes.
• Coordinate cross-functional teams to manage dependencies and ensure cohesive execution.
• Drive risk management, issue resolution, and quality assurance across all phases.

Stakeholder & Client Management

• Serve as the primary delivery contact, ensuring transparent communication and alignment.
• Present progress, risks, and outcomes to senior stakeholders, including C-level executives.
• Build trusted client relationships to ensure satisfaction, successful delivery, and long-term engagement.
• Provide clear escalation paths and timely issue resolution.

Team Leadership & Enablement

• Mentor project managers, leads, and delivery teams to build strong delivery capabilities.
• Foster a culture of accountability, collaboration, and continuous improvement.
• Ensure consistent use of delivery methodologies, frameworks, and best practices across teams.
• Guide teams using both Agile and Waterfall approaches where appropriate.

Governance & Operational Excellence

• Establish and run governance processes, steering committees, and reporting frameworks.
• Monitor project performance, resource utilization, and financial health of programs.Ensure compliance with standards, policies, and (where applicable) ethical AI principles.
• Identify opportunities to automate processes and improve delivery efficiency.

Qualifications

Technical & Delivery Expertise

• 10–15+ years of Data & AI program/project delivery experience, with at least 5 years in senior project leadership or program delivery roles.
• Proven track record delivering complex Data & AI initiatives involving data platforms, analytics, engineering, AIML, Optimization, GenAI and AgenticAI.
• Strong understanding of data architectures, cloud platforms (Azure, AWS, GCP), and AI model lifecycle management.
• Experience managing multi-stream programs and coordinating cross-functional teams.

Stakeholder & Leadership Skills

• Excellent communication, leadership, and problem-solving abilities.
• Strong experience in stakeholder engagement, including C-suite communications.
• Skilled in project financial management, budgeting, and cost control.
• Able to operate under tight deadlines and shifting priorities.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields.
• Experience in consulting or system integration environment.
• Public sector SI experience is a strong advantage.
• Familiarity with both Agile and Waterfall methodologies.