AI Product Owner

We are seeking a seasoned AI/ML and Personalization Proxy Product Owner to drive the full lifecycle delivery of AI/ML, Generative AI, data science, personalization, campaign decisioning, and automation projects. This role requires close collaboration with cross-functional teams to manage the AI/ML lifecycle, ensure compliance with governance and regulatory standards, and translate complex business needs into clear, measurable customer and business outcomes.

Key Responsibilities

Lead and coordinate cross-functional teams spanning business, marketing, data science, AI/ML engineering, technology, architecture, security, risk, compliance, vendors, and operations. Manage project scope, timelines, milestones, dependencies, risks, budgets, and delivery plans, ensuring all governance documentation is maintained accurately. Oversee the end-to-end AI/ML lifecycle, including feature engineering, model evaluation, experimentation, MLOps, and lifecycle management. Ensure adherence to AI governance principles, responsible AI practices, model risk management, data privacy, cybersecurity, compliance, and audit requirements. Drive initiatives related to customer segmentation, recommendation and propensity models, personalization strategies, A/B testing, campaign measurement, and optimization. Translate business requirements into analytical use cases and structured delivery plans that result in measurable business outcomes. Coordinate governance approvals, production readiness, deployment, monitoring, and smooth transition to business-as-usual (BAU) operations. Maintain strong stakeholder engagement through effective communication, risk management, executive reporting, and presentations. Apply Agile, Scrum, Waterfall, or hybrid methodologies to manage delivery processes efficiently.

Required Qualifications

A minimum of 8 years’ experience in project management, technology delivery, digital transformation, data analytics, automation, or AI-related initiatives. Proven experience managing AI/ML, Generative AI, data science, personalization, customer analytics, next-best-action, or campaign optimization projects. Practical knowledge of machine learning concepts, including feature engineering, model evaluation, experimentation, MLOps, and lifecycle management. Familiarity with AI governance, responsible AI, model risk, data privacy, cybersecurity, compliance, and audit processes. Strong skills in stakeholder management, communication, risk management, and executive reporting. Experience working with Agile, Scrum, Waterfall, or hybrid delivery methodologies. Ability to translate complex business needs into actionable analytical use cases and measurable outcomes. Experience coordinating cross-functional teams and managing project scope, timelines, budgets, and governance.

Preferred Qualifications and Benefits

Certifications such as PMP, PRINCE2, SAFe, or Agile are highly desirable. Additional certifications in AI, Generative AI, or PMI-CPMAI are considered an advantage. Experience within banking, financial services, fintech, or other regulated industries is preferred. Familiarity with tools like Jira, Confluence, Azure DevOps, MS Project, and ServiceNow or similar ITSM platforms is beneficial. Exposure to Azure AI, Azure Databricks, Azure Machine Learning, MLflow, Microsoft Copilot, Python, SQL, and campaign management or marketing automation platforms is advantageous. Demonstrated success in delivering AI initiatives from discovery and model development through to production, adoption, performance monitoring, and benefits realization is highly valued.

This role offers the opportunity to lead cutting-edge AI and personalization projects within a dynamic, regulated environment, working alongside diverse teams to deliver impactful business results.