Executive, AI Research and Development Programmes

Malaysian Communications and Multimedia Commission; Cyberjaya; On-site; MYR 100,000 - 150,000; Full time

Job summary

A governmental organization in Cyberjaya seeks an Executive (R&D Programmes) to support R&D operations in AI and emerging technologies. Responsibilities include managing research protocols, data collection and analysis, drafting reports, and ensuring compliance with governance standards. Candidates should have a Bachelor's degree in a relevant field and 3-5 years of experience in research or innovation projects. The role offers benefits such as annual leave and medical coverage.

Benefits

Annual Leave

Medical

SOCSO

Personal Accident

Qualifications

• Typically 3-5 years of relevant experience in research, experimentation, or innovation projects.
• Proven ability to apply evaluation rubrics to assess Al/tech pilots.
• Experience working in cross-functional teams with researchers, vendors, and regulators.

Responsibilities

• Execute research protocols and pilot workflows in line with approved methodologies.
• Administer data collection, logging, and analysis processes.
• Draft technical briefs, evaluation summaries, and progress reports.
• Maintain repositories of research artefacts for institutional knowledge.
• Coordinate logistics for pilot studies and sandbox projects.
• Compile evidence packs and audit documentation.

Skills

Research Protocol Execution

Data Management & Analytics

Model & System Evaluation

Documentation & Evidence Preparation

Repository & Knowledge Management

Project & Pilot Coordination

Collaboration Tools & Platforms

Technical Writing & Reporting

Research Benchmarking

Basic Compliance Integration

Analytical Rigor & Detail Orientation

Attention to Detail

Collaboration & Team Orientation

Adaptability & Agility

Communication & Translation

Planning & Organisation

Problem-Solving & Initiative

Integrity & Accountability

Learning Orientation

Resilience Under Pressure

Education

Bachelor's degree in Computer Science, AI, Data Science, Information Systems, Engineering

Tools

JIRA

Confluence

SharePoint

Job description

Overview

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Support the design, execution, and documentation of R&D programmes on Al and emerging technologies—by operationalising research protocols, coordinating pilot studies, and maintaining evaluation records—so that institutional experiments are credible, auditable, and contribute to sectoral innovation.

The position exists to translate research strategies into practice: administering data collection and analysis, drafting technical briefs, compiling evaluation reports, and ensuring that pilots and sandbox projects follow approved frameworks and deliver evidence-based outputs. In doing so, it provides continuity between experimental design, execution, and reporting, ensuring lessons learned are properly captured and communicated.

Functioning under the direction of the Senior Analyst (R&D Programmes), the role supports cross-functional collaboration with external vendors, academia, and internal divisions by preparing documentation, tracking progress, and maintaining repositories of research artefacts, tools, and outcomes.

Ultimately, the Executive (R&D Programmes) strengthens the Commission\'s innovation pipeline by ensuring that experimental activities are executed systematically, documented rigorously, and aligned with governance guardrails—thereby enabling MCMC to advance credible, scalable, and responsible technology adoption.

Job Responsibilities

• Execute research protocols and pilot workflows > experiments progress in line with approved methodologies and timelines;
• Administer data collection, logging, and analysis processes > evidence is captured systematically for evaluation and reporting;
• Draft technical briefs, evaluation summaries, and progress reports > leadership and stakeholders receive timely, clear, and evidence-based updates;
• Maintain repositories of research artefacts (datasets, code, tools, results) > institutional knowledge is preserved, version-controlled, and reusable;
• Apply approved evaluation rubrics (accuracy, bias, robustness, transparency) > pilot outcomes are assessed consistently and defensibly;
• Coordinate logistics for pilot studies and sandbox projects > activities are executed smoothly with required resources, vendors, and partners in place;
• Support vendors and academic collaboration by preparing documentation and review materials > partnerships deliver credible, auditable outcomes;
• Track project milestones, risks, and corrective actions > programmes remain on schedule and aligned with institutional priorities;
• Compile evidence packs and audit documentation > governance, compliance, and assurance functions are supported with traceable records;
• Assist in preparing knowledge outputs (playbooks, toolkits, case studies) > lessons learned are codified into reusable institutional resources;
• Deliver internal awareness and briefing sessions on experimental protocols > staff and stakeholders understand processes and expectations; and
• Benchmark project processes against internal lessons and external standards > R&D practices remain current, credible, and sector-relevant

Qualification & Work Experience

• Bachelor\'s degree (minimum) in Computer Science, Artificial Intelligence, Data Science, Information Systems, Engineering, or other technology-related fields;
• Professional certifications or short courses in Al/ML, research methods, data analytics, or project management (e.g., PRINCE2, PMP, Agile, Responsible Al foundations) are desirable;
• Familiarity with research and innovation frameworks (e.g., TRL models, regulatory sandboxes, IEEE/ISO standards) is an asset;
• Typically 3-5 years of relevant experience in research, experimentation, or innovation projects within Al, emerging technologies, or related domains;
• Hands-on experience in executing research protocols, including data collection, logging model evaluation, and reporting;
• Proven ability to apply evaluation rubrics (accuracy, robustness, fairness, transparency) to assess Al/tech pilots;
• Experience coordinating logistics and documentation for multi-stakeholder projects (vendors, academia, public sector);
• Exposure to audit, compliance, or assurance processes, ensuring pilots and experiments are traceable and defensible;
• Demonstrated ability to maintain repositories of datasets, code, or experimental results with version control;
• Evidence of drafting technical briefs, evaluation reports, or case studies for internal or external audiences;
• Familiarity with Al governance guardrails (ethics, privacy, bias mitigation, data protection) and ability to embed them into experimental workflows; and
• Experience working in cross-functional teams with researchers, vendors, and regulators to deliver innovation programmes
• Research Protocol Execution — ability to operationalise pilot and sandbox protocols, ensuring consistency with approved methodologies;
• Data Management & Analytics — skilled in data collection, logging, cleaning, and performing basic analyses to support evidence-based reporting;
• Model & System Evaluation — capacity to apply approved rubrics (accuracy, robustness, fairness, transparency) to experimental outputs;
• Documentation & Evidence Preparation — ability to maintain datasets, model cards, evaluation logs, and audit evidence packs with version control;
• Repository & Knowledge Management — proficiency in maintaining research repositories (datasets, code, results) for institutional reuse;
• Project & Pilot Coordination — ability to plan, schedule, and coordinate logistics for pilot studies and multi-stakeholder sandbox projects;
• Collaboration Tools & Platforms — familiarity with digital tools for project tracking, issue logging, and document management (e.g., JIRA, Confluence, SharePoint);
• Technical Writing & Reporting — ability to draft technical briefs, evaluation summaries, and case studies in clear, structured formats;
• Research Benchmarking — skill in comparing internal pilots against external standards, lessons, and industry practices; and
• Basic Compliance Integration — understanding of Al governance requirements (ethics, privacy, bias mitigation, data security) and embedding them into pilot execution
• Analytical Rigor & Detail Orientation — strong ability to interrogate data, identify anomalies, and ask probing questions about pilot results;
• Attention to Detail — diligence in ensuring protocols, datasets, and evidence sets are accurate, complete, and audit-ready;
• Collaboration & Team Orientation — ability to work under Senior Analyst leadership while coordinating inputs from vendors, academia, and other ETAD units;
• Adaptability & Agility — capacity to adjust quickly to changing pilot scopes, resource constraints, or evolving standards;
• Communication & Translation — skill in simplifying technical research findings into clear updates for stakeholders and decision-makers;
• Planning & Organisation — proven ability to manage multiple pilots, track milestones, and balance competing deadlines;
• Problem-Solving & Initiative — proactive in resolving operational bottlenecks and proposing practical improvements to tools or templates;
• Integrity & Accountability – commitment to ensuring experimental work remains credible, transparent and traceable;
• Learning Orientation — willingness to capture lessons learned and transform them into reusable playbooks and institutional resources; and
• Resilience Under Pressure — ability to sustain performance when faced with tight timelines, resource constraints, or competing priorities.

Candidate must be willing to work in Cyberjaya.

Notes

The Malaysian Communications and Multimedia Commission (MCMC) is a statutory body established under the Malaysian Communications and Multimedia Commission Act 1998 (MCMCA). MCMC regulates and promotes the development of the communications and multimedia industry which includes telecommunications, broadcasting, postal services and digital signature.

Perks and benefits Annual Leave, Medical, SOCSO & Personal Accident

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