Accountabilities:

Define and lead the strategic vision, tactical roadmap, and delivery milestones for the new anti-fraud and decision-making platform.
Drive the modernization of legacy systems, coordinating the gradual decoupling and migration toward a microservices-based, event-driven architecture.
Build strong relationships and establish trust with Business, Fraud Prevention Operations, Credit, Commercial Channels, and Compliance teams.
Translate complex technical and architectural concepts into clear business value, ensuring alignment between technical priorities and organizational objectives.
Establish effective product governance and executive communication practices, presenting architectural decisions, managing expectations, and reporting risks, dependencies, and progress to senior stakeholders.
Lead discussions and stakeholder alignment in high-pressure situations, addressing technical challenges and conflicting priorities with confidence.
Define, monitor, and optimize key product and operational performance indicators, including fraud loss rates, false positives, transaction analysis latency, risk engine SLAs, and system stability.
Partner closely with Tech Leads, Software Architecture, Engineering, and Data Science teams to integrate predictive Machine Learning models and business rules efficiently.
Ensure that platform capabilities support high availability, operational efficiency, and reliable real-time decision-making.
Act as a product methodology reference within the squad, promoting continuous discovery, structured hypotheses, MVP definition, and technical refinement of API contracts.
Balance transaction security, fraud prevention, operational performance, and customer experience throughout the product lifecycle.

Requirements

Proven experience managing the full lifecycle of complex digital products, particularly transactional platforms, technology infrastructure, payments, credit, or risk and fraud prevention.
Hands-on experience leading complex legacy modernization initiatives, including monolithic system decoupling, microservices architectures, messaging, and API integrations.
Ability to coordinate transitions between legacy and modern environments while maintaining business continuity and minimizing operational disruption.
Strong stakeholder management, negotiation, and relationship-building skills, with the ability to influence without formal authority and align teams with competing priorities.
Excellent communication and strategic storytelling skills, particularly the ability to translate complex Engineering and Data Science discussions into clear insights for non-technical decision-makers.
Strong analytical and data-driven decision-making capabilities, with familiarity with financial and fraud prevention metrics such as conversion rates versus risk, transactional churn, false positives, and chargebacks.
Resilience, autonomy, and adaptability when working in ambiguous environments, with the ability to structure open-ended problems, identify uncertainties, and make strategic decisions with incomplete information.
Academic background or professional experience at the intersection of Computer Science, Engineering, Economics, or related fields.
Previous experience in anti-fraud environments, particularly with rule engines and the real-time integration of statistical models and Machine Learning solutions.

Nice to have

Experience with large-scale omnichannel ecosystems, particularly in Retail, Franchising, E-commerce, or high-volume Fintech environments.

Benefits

Health and Well-being

Flexible medical and dental insurance plans.
Medication assistance and health allowance for family members.
Free psychotherapy sessions and 24/7 telemedicine services.
Ongoing preventive healthcare, mental health, and vaccination programs.

Food and Lifestyle

Meal allowance or access to a local restaurant, plus a food allowance with an additional Christmas benefit.
Discounts of up to 40% across the company's brand ecosystem.
Gympass/TotalPass memberships for access to gyms and sports studios.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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