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Product Engineer (D)

Ovations Technologies Gauteng 2 days ago
Contract
Engineering

Job Description

This is a 6 - month contract with our client in the fintech industry

We are seeking a strategic and commercial Manager: AI Product Owner (Platform) to treat our AI ecosystem not just as a collection of tools, but as an enterprise-grade product.

Key Performance Areas

Platform Vision & Strategy: Define and advocate for the AI platform as a shared Group asset, balancing high-impact innovation with cost efficiency and strict regulatory compliance.

Roadmap & Backlog Mastery: Own and ruthlessly prioritize an outcome-driven platform backlog based on clear business value, risk reduction, and operational capacity.

Demand & Stakeholder Management: Translate diverse business and OpCo demands into unified, scalable platform features rather than bespoke, one-off solutions.

SLAs, KPIs & Adoption: Define and own key platform metrics (availability, consumption, performance) while working alongside SRE and Platform Engineering to drive widespread adoption.

Value Realization: Partner with finance and business teams to track the exact ROI delivered by the platform, identifying underutilization and driving commercial discipline.

Governance & Scaling: Navigate the platform's full lifecycle from pilot to scaled, industrialised operations while aligning with modern security, risk, and architectural standards.

Requirements

Education

Bachelor's or master's degree in business, Technology, Engineering, Information Systems, or a related field.

Experience & Competencies

5+ years of dedicated experience in Product Management or Platform Ownership roles.

Proven track record of managing foundational technology platforms, infrastructure, or developer-facing products (rather than just end-user applications).

Familiarity with cloud/digital platform economics, consumption models, and managing SLAs/SLOs.

Highly Advantageous: Experience within Fintech, Financial Services, Telecommunications, or heavily regulated industries.

Preferred: Practical exposure to AI, ML lifecycle frameworks, or modern data platforms.

Core Skills

Superb stakeholder management with the ability to articulate technical roadmaps to executives and business value to engineering teams.

A pragmatic, value-oriented mindset that remains calm and decisive under competing, high-pressure demands.