Specialist - Research Engineering

35191

Job Title

Senior Analyst QA Engineer Synthetic Data Risk Policy AI Integration

Role Summary

We are seeking a Senior Analyst to serve as the embedded risk and data storytelling partner for our AI Ready Data Trusted Governance and Simulation Hub Programs This role is accountable for ensuring that data risks client consent and PII risk controls are designed implemented and maintained across synthetic data platforms AI agents and generated datasets

The role operates at the intersection of risk policy AI systems and data engineering translating regulatory and risk requirements into practical scalable technical controls The successful candidate will act as a risk steward policy interpreter and AIdata integrator within a fastmoving internal data risk technology team

This role reports jointly to the Data Risk Lead and the Simulation Hub Lead

Key Responsibilities

Risk Control Ownership

Design and embed risk based data controls I controls into synthetic data generation pipelines and AIenabled assets

Ensure synthetic datasets meet internal risk standards and regulatory expectations including appropriate documentation and auditability

Assess and manage residual risk across synthetic data use cases models and downstream consumption

Risk Policy AI Enablement

Translate risk policies and regulatory requirements into actionable technical and operational controls

Partner with engineers and data scientists to integrate risk requirements into AI agents workflows and tooling

Support governance design for synthetic data lifecycle management including access retention and usage constraints

Data Storytelling Stakeholder Engagement

Clearly articulate risk posture tradeoffs and control effectiveness to technical and nontechnical stakeholders

Develop concise risk narratives to support decisionmaking approvals and senior leadership updates

Act as a bridge between data risk legalprivacy and engineering teams

Integration Oversight

Collaborate with product engineering and platform teams to ensure riskbydesign principles are embedded early

Support reviews testing and validation of synthetic datasets and AIdriven capabilities

Contribute to continuous improvement of synthetic data risk frameworks and operating models

Required Experience Skills

Experience in data risk privacy AI governance or analytics risk management within a regulated or large enterprise environment

Strong understanding of privacy by design including data mapping access controls and privacy impact assessments Experience implementing risk based frameworks based on legislation change or organizational demand

Ability to translate policy and regulatory requirements into technical controls and system designs

Working knowledge of AIML systems data pipelines andor synthetic data conceptspatterns handson coding experience ideal but not required

Strong communication skills with demonstrated ability to tell clear credible risk stories

Preferred Qualifications

Exposure to synthetic data generation AI agents or advanced analytics platforms

Experience operating in matrixed environments with dual reporting lines

Familiarity with enterprise risk frameworks model risk management or privacybydesign principles