Data Modeler

PwC is hiring a Data Modeler. Level rates it ; you can apply on PwC.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Databricks.
Level lists 3,700+ other open roles at PwC.

AI in this role

Databricks

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Platform Engineering & Architecture

Management Level

Manager

Job Description & Summary

You will be part of a forward-thinking data product delivery team, focused on enabling high-quality finance insights for strategic decision-making. The team works in close partnership with finance and technology stakeholders to deliver scalable and sustainable data solutions for the asset management business.

We are seeking a skilled Data Modeller with a strong background in Asset Management to join our dynamic data product delivery team. The successful candidate will play a pivotal role in the development and implementation of a finance data mart, supporting critical reporting and analytics for Funds under Management (FUM) and Revenue Allocation processes. This is an excellent opportunity for a detail-oriented professional with deep understanding of finance operations, particularly within the asset management sector.

Key Responsibilities
• Data Modelling: Design and develop robust data models to support finance reporting requirements, with a particular focus on Funds under Management and Revenue Allocation use cases.
• Source-to-Target Mapping: Analyse source systems and define clear mappings to the target data mart, ensuring data integrity and consistency across the finance domain.
• Collaboration: Work closely with business stakeholders, finance subject matter experts, and the development team to translate business requirements into effective data structures.
• Documentation: Prepare comprehensive documentation for data models, mapping specifications, and data flows to support development, testing, and ongoing maintenance.
• Quality Assurance: Support data validation and reconciliation activities to ensure accurate reporting and analytics within the finance data mart.
• Continuous Improvement: Identify opportunities for optimisation and enhancement of data models and data processes in alignment with evolving business needs.

Required Skills & Experience
• Proven experience as a Data Modeller within the Asset Management industry, with a strong understanding of finance processes.
• In-depth knowledge of Funds under Management reporting and Revenue Allocation methodologies.
• Demonstrated expertise in data modelling tools and techniques.
• Experience with source-to-target mapping, including data profiling and transformation logic.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication and stakeholder management abilities, particularly in translating business requirements into technical solutions.
• Familiarity with data warehousing concepts and finance data marts.
• Ability to work collaboratively in a cross-functional, agile delivery team.

Desirable Qualifications
• Bachelor’s degree or higher in Finance, Computer Science, Information Systems, or a related field.
• Professional certifications in Data Modelling, Asset Management, or Finance.
• Experience working with cloud-based data platforms and modern data architecture (MS Azure and Databricks).

#PwCSEACPH

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Data Driven Modeling, Data Modeling Techniques, Data Modeling Tools, Microsoft Azure Databricks

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 23 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Yes

Job Posting End Date

How we rate this

Data Modeler at PwC rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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.

Key facts

Data Modeler is an open job at PwC.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Makati.
The job was posted on January 13, 2026.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

What's a project where you used Databricks hands-on?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

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List these exact terms on your resume: Databricks. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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