Data & AI Solutions Consultant

GLOCOMP SYSTEMS (M) SDN BHD; Petaling Jaya; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Sports (Gym)

Vision Insurance

Training & Development

Job summary

GLOCOMP Systems (M) Sdn Bhd is seeking a Data & AI Solutions Consultant to join the solutions team. The role focuses on understanding client operations, designing AI-enabled solutions, and managing delivery from proof of concept to production across healthcare, government, manufacturing and construction sectors.

You will work with sales to shape opportunities and co-own client relationships through delivery, while guiding AI engineers and building reusable assets for the team.

Qualifications

• Experience combining client-facing work with hands-on building in data and AI.
• Experience designing end-to-end data/AI solutions for production use.
• Experience turning client needs into implementable solutions.

Responsibilities

• Understand client goals and map data/AI capabilities to business needs.
• Design end-to-end solutions from data foundation to AI applications and UX.
• Lead client engagements, manage scope and governance, and write proposals.
• Build proofs of concept and production pipelines with AI-assisted development.

Skills

Client-facing

Data & AI

Solution design

Python

SQL

Education

Bachelor's degree in Computer Science, AI, Data Science

Tools

Power BI

Tableau

SQL

Python

Job description

We are looking for a Data & AI Solutions Consultant to be part of the solutions team in Glocomp and the Keppel Technology Solutions group. The most valuable part of this role happens before anything is built: understanding how a client's business and operations really work and designing the solution right from the beginning.

You will, on a case-to-case basis work with our sales team to shape opportunities, then co-own the client relationship through delivery, managing expectations on both sides so that what we commit to and what the client expects stay aligned.

You will also build. AI-assisted development now makes building faster and more accurate, so you will take your own designs from proof of concept to production, with our AI Engineers and Senior Innovation Engineer building alongside you.

You will work across various industries like healthcare, government agencies and ministries, manufacturing, and construction, where engagements often start with getting the client's data ready for AI.

Key Responsibilities:

You will understand the client, design the right solution, keep expectations aligned, and build it through to production.

1) Understand the business and processes

• Lead discovery with sales to understand clients' goals, operations, constraints and pain points.
• Ask the questions that uncover what clients actually need, not only what they first ask for.
• Assess data readiness and identify where data and AI can make a measurable difference.

2) Design it right from the start

• Map data and AI capabilities to business and operational requirements.
• Design the end-to-end solution, from the data foundation (such as a data warehouse or data lakehouse) to the AI application and user experience.
• Advise on roadmaps, governance and data privacy requirements.
• Estimate effort and cost, plus write proposals and tender responses.

3) Manage the client and expectations

• Agree clear, realistic scope and success measures with clients, and with our sales and delivery teams.
• Keep expectations aligned on both sides as projects evolve and raise changes plus difficult messages early.
• Present demos and progress in ways that executives and users understand.
• Measure and report the business impact of delivered solutions.

4) Build and deliver

• Build proofs of concept, dashboards and front-ends that show clients what a solution will do.
• Take solutions into production personally, using AI-assisted development to build data pipelines, AI and agentic features, and integrations through APIs and MCP.
• Operationalise applications in the client's environment: deploy, test, monitor and support them until they run reliably.
• Work alongside and guide the AI Engineers, and build reusable assets for the team.

These qualities are what we are really looking for:

• Inquisitive: you want to understand how a business really works before proposing anything.
• Driven by impact: you are genuinely passionate about applying data and AI to make a measurable difference for clients.
• A natural builder: you enjoy creating software that people actually use, and take pride in seeing it run in production.
• Confident with clients: you manage expectations, deliver honest messages and keep everyone aligned.
• Quick to adopt new tools: including AI-assisted development, to work faster without cutting corners.

Experience and education:

• At least 5 years of experience that combines client-facing work with hands-on building, for example in solutions consulting, solutions architecture, pre-sales engineering or technical delivery roles.
• Build experience within those years: data and AI applications or data platforms you have designed, built and shipped to production yourself.
• Client experience within those years: working directly with clients to understand business and operational needs and turn them into solutions.
• Experience managing client expectations and stakeholders through delivery, including scope changes and difficult conversations.
• Experience working alongside sales teams on opportunities, proposals and client presentations.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field.

Consulting and business skills:

• Strong business acumen: understanding how operations, processes and decisions work in client organisations.
• Solution design skills: structuring requirements and designing end-to-end solutions before building.
• Excellent communication and presentation skills in English, with both executives and technical teams.
• Ability to build business cases and explain return on investment.
• Structured approach to scoping, estimating and managing engagements.

Business visualization and front-end:

• Proven ability to build business dashboards and visualisations that decision-makers act on, for example with Power BI, Tableau, a code-based charting library, or relevant technologies.
• Front-end development skills for UI/UX, for example with React or a similar framework, with examples of interfaces you have designed and built.
• Ability to turn data and analysis into a clear visual story for executives and non-technical audiences.
• An eye for usability: designing interfaces and reports around how users actually work.
• Experienced in programming skills like Python and SQL.
• Hands-on experience designing and building at least one data warehouse or lakehouse, including data modelling (for example star and snowflake schemas, or open table formats such as Delta Lake or Apache Iceberg).
• Experience building reliable ETL and ELT pipelines with validation, monitoring and recovery, using tools such as Apache Airflow, dbt or cloud-native equivalents.
• Working knowledge of data governance: metadata, lineage, cataloguing and access control, especially for sensitive healthcare and public sector data.

AI development, integration and agentic AI:

• Ability to develop AI applications independently, with hands-on experience in machine learning and large language model applications.
• Fluency with AI-assisted development tools, such as AI coding assistants, to build quickly while keeping quality, security and correctness under control.
• Experience integrating AI solutions with enterprise systems, such as ERP, CRM, hospital information systems or electronic medical records, through REST, GraphQL or webhook APIs, including authentication and error handling.
• Hands-on experience with the Model Context Protocol (MCP), building or configuring servers and clients that give AI agents governed access to tools and data.
• Experience building agentic AI applications with at least one established framework, such as LangChain and LangGraph, LlamaIndex, CrewAI, Microsoft Semantic Kernel or AutoGen, or Google Agent Development Kit.
• Experience taking applications into production and operating them, including deployment, containers such as Docker, CI/CD, monitoring and ongoing support.

Mandatory tools:

• Advanced skills in Microsoft PowerPoint, Word and Excel for proposals, client presentations, solution documents and business analysis.

Preferred exposure and experience:

Industry experience

• Healthcare: AI projects with hospitals, clinics or health authorities, and familiarity with health data standards such as HL7 FHIR.
• Government agencies and ministries: public sector tenders, procurement processes and data governance requirements.
• Manufacturing: use cases such as visual quality inspection, predictive maintenance or production optimisation.
• Construction: use cases such as site safety monitoring, progress tracking or Building Information Modelling (BIM).

Perks and benefits Medical Dental Sports (e.g. Gym) Vision Insurance/Health Screen Allow; Trainings and Devel

What can I earn as a Solutions Consultant

GLOCOMP Systems is one of the Malaysia's most diversified and renowned distributor of IT Infrastructure products and services. We take pride in working with partners who share our commitment in delivering solutions of the highest quality that will add further value to our clients’ business growth. We achieve this value-add mission by providing essential pre-sales consultancy services, post sales implementation and maintenance support services.

GLOCOMP Systems has been a competitive cutting-edge pioneer in the IT industry for more than 16 years, in which we have consistently demonstrated dedication and commitment in serving our clients.