Principal Solution Consultant
Experian is hiring a Principal Solution Consultant in Kuala Lumpur, Malaysia. Level rates it ; you can apply on Experian.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI consultant role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, R and MLOps.
- Level classifies it as a senior role.
- Level lists 383 other open roles at Experian.
- The role was posted within the past two weeks.
AI in this role
Drive sales and technical adoption of SaaS solutions incorporating generative AI, automated ModelOps, and predictive modeling for financial services.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
You will lead the sales and technical adoption of the Experian Ascend Platform. Working with banks and other lenders, you will develop tailored solutions, lead complex SaaS opportunities, and strengthen pre-sales capabilities.
This is a senior individual contributor role reporting to the General Manager. You will collaborate across the business and have no direct reports.
What you'll be doing
- Develop the Malaysian pre-sales practice and go-to-market approach by creating practical frameworks, reusable resources, use-case-led methodologies and locally relevant sales materials. Partner with Sales, Marketing and regional leaders to identify opportunities, structure complex deals and launch targeted outbound campaigns across banking and alternative lending.
- Lead executive-level, consultative sales engagements with C-suite leaders, bank boards and procurement committees across Tier 1 and Tier 2 Malaysian banks and non-financial lenders. Assess clients' operating models and transformation priorities, originate and progress opportunities before and during formal RFP processes, and develop evidence-based business cases that demonstrate financial, operational and strategic outcomes.
- Position the end-to-end capabilities of the Experian Ascend Platform across data, analytics, credit-risk modelling, model deployment, data management and decisioning. Apply a consultative “land and expand” approach to design SaaS solutions that modernise the credit lifecycle, support operational transformation and help clients bring new capabilities to market.
- Lead complex solution design and technical engagement by facilitating client workshops, demonstrations and solution discussions with client teams and Experian specialists. Develop tailored solutions encompassing Python or R modelling, automated ModelOps deployment, real-time decision engines and native generative AI capabilities, supported by technical proposals, architecture blueprints, data-flow diagrams and RFP or RFI responses.
- Connect market needs with product and process improvements by translating Malaysian market trends, relevant Bank Negara Malaysia regulatory developments and evolving lender requirements into platform-roadmap insights. Conduct business-process assessments to identify operational bottlenecks and recommend practical improvements for financial and non-financial lenders.
What We're looking for
- At least 15 years of experience in enterprise sales, pre-sales, solution consulting or product management within financial technology or software.
- Experience advising banks, alternative lenders or other financial institutions in Malaysia, building relationships with senior stakeholders and progressing complex enterprise opportunities.
- Experience translating client challenges into practical product and solution recommendations, and developing scalable pre-sales frameworks, tools and capabilities.
- Knowledge of SaaS, cloud platforms, APIs, data and AI solutions, including their application in credit risk, automated underwriting and fraud prevention.
- Understanding of enterprise procurement, data security, data privacy, relevant BNM requirements and AI governance standards. Familiarity with machine-learning workflows, MLOps or ModelOps, Python, R or enterprise generative AI.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits and Perks:
- Hybrid work arrangement: You will divide your time between working remotely and working from the office. You will work from the office at least two days per week. You and your manager will agree on your office days, taking business and client needs into consideration.
- Inclusive paid leave
- People-first and inclusive workplace
- Career growth opportunities
- Exposure to diverse, global teams
- ExperianCares Flexi Benefits#LI-Hybrid
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Principal Solution Consultant at Experian rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical AI consultant job
- $153k
This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where saas was part of your work. What did you do?
- Tell me about a project where credit risk modelling was part of your work. What did you do?
- Tell me about a project where modelops was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Pre Sales, Saas, Credit Risk Modelling, and Modelops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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