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Finance Data Architect
Paris, Ile-de-France, France
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and own the enterprise Finance data architecture and data model
Define conceptual and logical data models within SCOR's Data Foundation
Establish common business definitions and canonical structures across Finance, Actuarial, Risk
Lead design of the Finance Analytical Data Model for consistency and reconciliation
Define standards for Finance data architecture, metadata management, and governance
From the employer’s posting
Design and own the enterprise Finance data architecture and data model
Define and evolve conceptual, logical data models within SCOR's Data Foundation
Establish common business definitions, semantics, and canonical data structures across Finance, Actuarial, Risk, and Corporate functions
Lead the design of the Finance Analytical Data Model, ensuring consistency, traceability, reconciliation capability
Define standards and best practices for Finance data architecture, information modeling, metadata management, and data governance
What you’ll bring
All qualificationsCore experience
- Degree in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
Qualification wording
Degree in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Sep 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Scor is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
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Your next step
Complete your application on fa-errt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
This is not a traditional technical modeling role. We are looking for a professional who understands how Finance and Actuarial processes operate within a reinsurance company and can translate that understanding into a scalable, governed, and business-aligned data architecture and data models.
You will work at the intersection of Finance, Actuarial, Data, and Technology teams to define the future-state Finance data model and establish the semantic foundation that supports enterprise-wide decision making.
Key duties and responsibilities
Your mission will be to:
Design and own the enterprise Finance data architecture and data model supporting Reserving, Closing, Performance Management, Investments, Treasury, and Financial Reporting.
Define and evolve conceptual, logical data models within SCOR's Data Foundation.
Establish common business definitions, semantics, and canonical data structures across Finance, Actuarial, Risk, and Corporate functions.
Lead the design of the Finance Analytical Data Model, ensuring consistency, traceability, reconciliation capability, and alignment across source systems and business processes.
Work closely with Finance, Actuarial, and Business stakeholders to translate complex reinsurance and finance requirements into scalable and reusable data structures.
Ensure appropriate handling of granularity, historical tracking, time dimensions, accounting perspectives, and regulatory requirements.
Drive alignment between operational data, analytical data products, reporting requirements, and AI-enabled use cases.
Define standards and best practices for Finance data architecture, information modeling, metadata management, and data governance.
Support enterprise initiatives related to IFRS 17, Solvency II, Technical Closing, Reserving, Planning, Forecasting, and Performance analytics.
Partner with Data Engineers, Solution Architects, and Domain Leads to ensure consistent implementation of target-state data models across the Finance ecosystem.
Required experience & competencies
5+ years of experience in Data Architecture, Information Architecture, Enterprise Data Modeling, or related disciplines.
Strong experience within the insurance or reinsurance industry.
Deep understanding of Finance and Actuarial data domains, including several of the following: IFRS 17, Solvency II, Technical Closing, Reserving, Financial Planning & Analysis, Performance Management, General Ledger, Accounting structures, Reinsurance contracts and treaty data
Proven experience designing enterprise-scale conceptual and logical data models used across multiple business functions.
Experience defining canonical data models, business semantics, and data standards.
Strong understanding of Finance data lineage, reconciliation, controls, and data quality requirements.
Ability to engage effectively with senior Finance, Actuarial, and Technology stakeholders.
Excellent communication skills with the ability to bridge business and technical domains.
Required Education
- Degree in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris, Ile-de-France, France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.