Data Model Governance Lead

About PRODA

At PRODA (www.proda.ai) we are building software to unlock the full potential of Real Estate Data no matter the asset class, language or country of origin.

Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software.

Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can :

• Build repositories of clean, standardised data
• Increase process efficiency, through faster report generation
• Improve data-driven decision making, by ensuring the accuracy of input data

Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation.

Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 70 people strong, and is looking to expand further in 2025.

PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally.

Reporting Line

Reports to Chief Technology Officer (CTO) and works cross‑functionally with Engineering, Data, Product and Client Success teams.

Role Summary

PRODA’s rent‑roll data model underpins every product experience and client deliverable. You will become the single point of ownership for our four‑tier schema (with thousands of variables) and the hundreds of standardisation & validation rules built on top of it. Your mission is to safeguard accuracy, steer evolution, and make the logic transparent to colleagues and clients – eliminating costly regressions while accelerating new feature delivery. You will fully immerse yourself in the business logic behind every standardisation, validation and schema decision, and become a trusted liaison for clients, ensuring their evolving needs and customisation requests are met without compromising stability.

This is a hands‑on, technical product leadership role : part product manager, part data architect, part QA lead. You will deep‑dive into complex domain logic (e.g. German CPI threshold-based indexation vs. UK upward‑only rent reviews), orchestrate change across squads, and mentor a small team of data analysts.

Key Responsibilities

Act as Product Owner for the multiple variable schemas – roadmap, backlog, versioning, deprecation.

Catalogue, document and continuously improve >

400 business‑logic rules that infer & transform variables.

Own the library of validation checks; introduce contract tests and thresholds to catch edge cases early.

Perform impact analysis & sign‑off for all schema / rule edits, balancing refactoring of legacy logic with a strict zero‑regression mandate.

Act as primary point of contact for clients on data‑model questions; gather feedback and communicate upcoming changes. Translate client requests – including bespoke data‑model configurations – into well‑scoped tickets for junior data team members; set priorities & timelines.

Build living documentation (Notion / Confluence / dbt docs) & training materials explaining key rules with examples.

Line‑manage 2‑3 Data Analysts / Associate Data Engineers; coach on best practices & review their work.

Example Success Metrics (first 12 months)

Target

Regression incidents detected post‑release

1 per quarter

Turnaround time for approved client rule requests

historic files covered by automated regression tests

Internal NPS on documentation usefulness

8 / 10

Client satisfaction with data accuracy (CSAT)

Required Skills & Experience

Desirable

Personal Attributes

Salary & Benefits

Competitive base + equity; benchmarked to London tech scale‑ups.

Private healthcare

Exact package finalised based on experience & location.

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