Advisory Solution Consultant, Malaysia
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Job Summary
We are looking for a seasoned Advisory Solution Consultant to join the ROSEAN Solution Consulting team, covering Malaysia, Indonesia, Philippines, and Thailand. This is a senior individual contributor role for someone who thrives at the intersection of AI strategy, data architecture, and enterprise digital transformation — and can translate that expertise into compelling, customer-facing solutions.
The ideal candidate is a data-first technologist and trusted advisor with deep hands-on experience designing end-to-end AI and data solutions for complex enterprise environments. ServiceNow platform knowledge is valued, but what matters most is your ability to understand a customer's data landscape, architect intelligent workflows, and connect AI capabilities to tangible business outcomes. You will partner with Account Executives across the ROSEAN patch to lead strategic pursuits, run discovery and value engagements, and shape how customers think about AI-driven transformation.
Key Responsibilities
1. AI & Data Advisory
- Serve as the primary AI and data subject matter expert for strategic accounts across the ROSEAN territory.
- Guide customers through the transition from fragmented data environments to unified, AI-ready architectures — covering data ingestion, quality, governance, and model integration.
- Advise on AI strategy including agentic AI, large language model (LLM) integration, retrieval-augmented generation (RAG), vector embeddings, and structured vs. unstructured data use cases.
- Help customers understand how data quality, lineage, and governance directly influence the effectiveness of AI outcomes — and design solutions that address this dependency.
- Articulate the distinction between AI as a point tool versus AI embedded in enterprise workflows, and position accordingly.
2. End-to-End Solution Design
- Lead the design of scalable, enterprise-grade solution architectures that span data ingestion, AI processing, workflow automation, and experience layers.
- Define integration patterns between source systems (ERP, CRM, ITSM, cloud platforms) and AI/workflow layers using APIs, event streams, and data pipelines.
- Conduct solution workshops, architecture reviews, and proof-of-concept engagements with C-level and technical stakeholders.
- Own the technical narrative from discovery through to proposal — ensuring coherence between customer pain points, solution architecture, and business value.
3. Presales & Customer Engagement
- Partner with Account Executives across Malaysia, Indonesia, Philippines, and Thailand to qualify, progress, and close strategic opportunities.
- Deliver executive-level presentations and solution demonstrations that connect AI and data capabilities to the customer's specific business outcomes.
- Respond to RFPs and RFIs with tailored architectural proposals and value narratives.
- Run structured discovery and value engineering engagements to build a compelling business case grounded in the customer's data.
4. Thought Leadership & Strategy
- Represent ServiceNow as an AI and data thought leader in customer briefings, industry forums, and partner events across the ROSEAN region.
- Shape how the regional SC team approaches AI-led deals — contributing reusable frameworks, demo assets, and solution blueprints.
- Stay current with the evolving AI and data ecosystem (foundation models, AI agents, data mesh, real-time analytics) and translate trends into actionable customer conversations.
5. Cross-Functional Collaboration
- Work closely with the cross functional team, Account Executives, and specialist overlay teams to align on account strategy and deal execution.
- Provide mentorship and knowledge transfer to the broader SC team on AI and data topics.
- Collaborate with ServiceNow product and engineering teams to surface regional customer feedback and influence roadmap priorities.
To be successful in this role you have:
Education & Experience
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
- 10+ years of experience in solution architecture, presales, or enterprise technology consulting, with a significant portion focused on AI and data.
- Demonstrated track record of leading complex, multi-stakeholder technology engagements across enterprise accounts in Southeast Asia.
AI, Data & Process Expertise
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
- Deep understanding of the full data and process lifecycle: from business process mapping and workflow design through to data modelling, ingestion pipelines (batch and streaming), data quality frameworks, metadata management, and data governance.
- Ability to connect how upstream process inefficiencies and poor data capture practices create downstream AI failures — and design solutions that address both the process and data layer simultaneously.
- Experience translating operational workflows (IT, HR, customer service, finance operations) into structured data models that can power analytics, automation, and AI decisioning.
- Understands that AI is only as good as the processes feeding it — and can advise customers on process standardisation and data discipline as a prerequisite to AI readiness.
- Strong grasp of AI/ML fundamentals — including supervised/unsupervised learning, model training and inference, feature engineering, and model lifecycle management.
- Familiarity with AI governance, responsible AI principles, model explainability, and regulatory considerations relevant to Southeast Asian markets.
- Experience with agentic AI concepts — autonomous agents, multi-agent orchestration, tool use, and human-in-the-loop design.
Solution Architecture & Technical Breadth
- Ability to design end-to-end enterprise solutions spanning data, AI, integration, and workflow layers — not just point solutions.
- Experience with enterprise architecture frameworks (e.g., TOGAF) and integration patterns (REST/SOAP APIs, event-driven architecture, middleware).
- Working knowledge of cloud platforms (AWS, Azure, GCP) and cloud-native deployment patterns.
- ServiceNow platform experience is a strong advantage — particularly across ITSM, ITOM, CSM, App Engine, or Now Assist/AI capabilities. Candidates with adjacent enterprise platform experience and a genuine interest in ServiceNow are equally encouraged to apply.
Business & Interpersonal Skills
- Ability to operate fluently at both the C-suite and technical architect level — adapting language, depth, and framing to the audience.
- Strong business acumen: able to connect technology architecture to cost reduction, efficiency gains, risk mitigation, and revenue impact.
- Excellent storytelling and presentation skills — particularly in high-stakes competitive evaluations.
- Culturally fluent and comfortable engaging across the diverse business environments of Malaysia (must-have), Indonesia, Philippines, and Thailand.
- Self-starter who can manage multiple simultaneous engagements across a geographically distributed territory without close supervision.
Preferred Qualifications
- Experience in industries with strong ROSEAN representation: Financial Services, Telco, Energy & Resources, or Manufacturing.
- Familiarity with regional regulatory and data sovereignty considerations (e.g., Malaysia PDPA, Indonesia PDPB, Philippines DPA).
- Exposure to enterprise AI platform vendors (e.g., Microsoft Azure AI, Google Vertex AI, AWS SageMaker, Databricks) as either an architect or presales resource.
- Prior experience working in or closely with a Solution Consulting, Presales, or Advisory Consulting function.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Sales Engineering pay context
Based on 407 disclosed Sales Engineering salaries on RoleSuite, the role pays a median of $168K/year, with most offers between $133K and $200K (10th–90th percentile: $103K–$236K).
See the full Sales Engineering salary breakdown →